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S1, grpo, and eval | 1 | S1 grpo on a 7b moe using qalora, gen multiple, grade, and then do grpo (how do we know if one is correct/best?). We likely don't and just iterate towards above mean, so generate a batch of answers, then grade them between 0 and 100%. Use an external tool to validate math operations (python eval). 100% can only be achieved for correct math. So eval is the critic model
Thoughts? | 2025-02-08T11:08:25 | https://www.reddit.com/r/LocalLLaMA/comments/1ikl04a/s1_grpo_and_eval/ | Thistleknot | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikl04a | false | null | t3_1ikl04a | /r/LocalLLaMA/comments/1ikl04a/s1_grpo_and_eval/ | false | false | self | 1 | null |
DeepSeek R1: lying and mental gymnastics about the mass starvation in China during the 'Great Leap Forward' | 1 | [removed] | 2025-02-08T11:17:45 | https://www.reddit.com/r/LocalLLaMA/comments/1ikl4yo/deepseek_r1_lying_and_mental_gymnastics_about_the/ | nomadman0 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikl4yo | false | null | t3_1ikl4yo | /r/LocalLLaMA/comments/1ikl4yo/deepseek_r1_lying_and_mental_gymnastics_about_the/ | false | false | self | 1 | null |
Looking for a front end that would allow uploads of pdf and text files to APIs | 1 | [removed] | 2025-02-08T11:30:51 | https://www.reddit.com/r/LocalLLaMA/comments/1iklbzp/looking_for_a_front_end_that_would_allow_uploads/ | newbioform | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iklbzp | false | null | t3_1iklbzp | /r/LocalLLaMA/comments/1iklbzp/looking_for_a_front_end_that_would_allow_uploads/ | false | false | self | 1 | null |
Desktop following AI | 1 | [removed] | 2025-02-08T11:34:53 | https://www.reddit.com/r/LocalLLaMA/comments/1ikle4b/desktop_following_ai/ | Ok_Record7213 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikle4b | false | null | t3_1ikle4b | /r/LocalLLaMA/comments/1ikle4b/desktop_following_ai/ | false | false | self | 1 | null |
A question on performance of 6x p100 cards vs 4090? | 1 | [removed] | 2025-02-08T11:37:07 | https://www.reddit.com/r/LocalLLaMA/comments/1iklf8h/a_question_on_performance_of_6x_p100_cards_vs_4090/ | Potential_Skirt_1115 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iklf8h | false | null | t3_1iklf8h | /r/LocalLLaMA/comments/1iklf8h/a_question_on_performance_of_6x_p100_cards_vs_4090/ | false | false | self | 1 | null |
A Speaking following desktop AI | 1 | [removed] | 2025-02-08T11:38:17 | https://www.reddit.com/r/LocalLLaMA/comments/1iklfur/a_speaking_following_desktop_ai/ | Ok_Record7213 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iklfur | false | null | t3_1iklfur | /r/LocalLLaMA/comments/1iklfur/a_speaking_following_desktop_ai/ | false | false | self | 1 | null |
Python and web developing LLM recommendation for 32GB VRAM gpu | 1 | [removed] | 2025-02-08T12:01:45 | https://www.reddit.com/r/LocalLLaMA/comments/1iklscl/python_and_web_developing_llm_recommendation_for/ | evofromk0 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iklscl | false | null | t3_1iklscl | /r/LocalLLaMA/comments/1iklscl/python_and_web_developing_llm_recommendation_for/ | false | false | self | 1 | null |
Reasoning LLM using REINFORCE Tutorial | 1 | 2025-02-08T12:01:48 | https://charm-octagon-74d.notion.site/Reasoning-LLM-using-REINFORCE-194e4301cb9980e7b73dd8c2f0fdc6a0 | DLExplorers | charm-octagon-74d.notion.site | 1970-01-01T00:00:00 | 0 | {} | 1iklsdf | false | null | t3_1iklsdf | /r/LocalLLaMA/comments/1iklsdf/reasoning_llm_using_reinforce_tutorial/ | false | false | 1 | {'images': [{'source': {'url': 'https://external-preview.redd.it/dK_EFkJw8Azn4-ldPTLDolDFe3YzCNIfzrkdBEjGcwE.jpg?auto=webp&s=fa5640bf29fa97156215ebe916a79473fae2b525', 'width': 1200, 'height': 630}, 'resolutions': [{'url': 'https://external-preview.redd.it/dK_EFkJw8Azn4-ldPTLDolDFe3YzCNIfzrkdBEjGcwE.jpg?width=108&crop=smart&auto=webp&s=879e52b64f689573967eaab290003c45972f7ba4', 'width': 108, 'height': 56}, {'url': 'https://external-preview.redd.it/dK_EFkJw8Azn4-ldPTLDolDFe3YzCNIfzrkdBEjGcwE.jpg?width=216&crop=smart&auto=webp&s=dcbd45cc9ff715da2954f2fc1f199e0b916e7b22', 'width': 216, 'height': 113}, {'url': 'https://external-preview.redd.it/dK_EFkJw8Azn4-ldPTLDolDFe3YzCNIfzrkdBEjGcwE.jpg?width=320&crop=smart&auto=webp&s=7022b526e84b6f21f259dfd1fdf49e17718b8584', 'width': 320, 'height': 168}, {'url': 'https://external-preview.redd.it/dK_EFkJw8Azn4-ldPTLDolDFe3YzCNIfzrkdBEjGcwE.jpg?width=640&crop=smart&auto=webp&s=a2f5609a3ac128c84f75567e8eb258dac7c4496d', 'width': 640, 'height': 336}, {'url': 'https://external-preview.redd.it/dK_EFkJw8Azn4-ldPTLDolDFe3YzCNIfzrkdBEjGcwE.jpg?width=960&crop=smart&auto=webp&s=2c12ddae07d2a71ffe4a1b828577e8ea1c60028e', 'width': 960, 'height': 504}, {'url': 'https://external-preview.redd.it/dK_EFkJw8Azn4-ldPTLDolDFe3YzCNIfzrkdBEjGcwE.jpg?width=1080&crop=smart&auto=webp&s=69ec47345ef5cfe2b95740b234d1c7c6144b206d', 'width': 1080, 'height': 567}], 'variants': {}, 'id': 'xI67j8Ed-loEj1nBCEDvv2f37xscNaVT14fTtuKnpqk'}], 'enabled': False} |
||
What fictional characters are going to get invented first; like this one⬇️‽ | 1 | 2025-02-08T12:13:17 | https://v.redd.it/0rvfcr2qpwhe1 | BidHot8598 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1iklym8 | false | {'reddit_video': {'bitrate_kbps': 1200, 'fallback_url': 'https://v.redd.it/0rvfcr2qpwhe1/DASH_480.mp4?source=fallback', 'has_audio': True, 'height': 480, 'width': 480, 'scrubber_media_url': 'https://v.redd.it/0rvfcr2qpwhe1/DASH_96.mp4', 'dash_url': 'https://v.redd.it/0rvfcr2qpwhe1/DASHPlaylist.mpd?a=1741608810%2CNGRjNmMyOWNhMzY5M2UyMjg4ZWUwYmM0NmQ3NjdkNTYyMTI2NTZhZTcyYjA1M2JkZTZjMjcyYzM2NDRkMmIwMg%3D%3D&v=1&f=sd', 'duration': 16, 'hls_url': 'https://v.redd.it/0rvfcr2qpwhe1/HLSPlaylist.m3u8?a=1741608810%2COTJkODYwZmE3MmFmZDAxMDI2YjU2YjUwOGU2NWIwYTNkYmQxMDdhOWNhN2FjMTlkZWM5ZjVlMDA1OGU3OTk5NA%3D%3D&v=1&f=sd', 'is_gif': False, 'transcoding_status': 'completed'}} | t3_1iklym8 | /r/LocalLLaMA/comments/1iklym8/what_fictional_characters_are_going_to_get/ | false | false | 1 | {'images': [{'source': {'url': 'https://external-preview.redd.it/bzVmejV4MnFwd2hlMa0OkiSb4WLV-Gm6A6FIunAxb3qUiDNWa7wR9OnjYSm8.png?format=pjpg&auto=webp&s=000193058ca10ff07a03b36baea59df163254e28', 'width': 640, 'height': 640}, 'resolutions': [{'url': 'https://external-preview.redd.it/bzVmejV4MnFwd2hlMa0OkiSb4WLV-Gm6A6FIunAxb3qUiDNWa7wR9OnjYSm8.png?width=108&crop=smart&format=pjpg&auto=webp&s=96cc15ce719b8adc8360c6d4de43b6cd43941fab', 'width': 108, 'height': 108}, {'url': 'https://external-preview.redd.it/bzVmejV4MnFwd2hlMa0OkiSb4WLV-Gm6A6FIunAxb3qUiDNWa7wR9OnjYSm8.png?width=216&crop=smart&format=pjpg&auto=webp&s=5d7493610495a632a09233fba3c0ebd9f47a4f94', 'width': 216, 'height': 216}, {'url': 'https://external-preview.redd.it/bzVmejV4MnFwd2hlMa0OkiSb4WLV-Gm6A6FIunAxb3qUiDNWa7wR9OnjYSm8.png?width=320&crop=smart&format=pjpg&auto=webp&s=557017329880e673202b49c6eec734f1be5af055', 'width': 320, 'height': 320}, {'url': 'https://external-preview.redd.it/bzVmejV4MnFwd2hlMa0OkiSb4WLV-Gm6A6FIunAxb3qUiDNWa7wR9OnjYSm8.png?width=640&crop=smart&format=pjpg&auto=webp&s=55e53c9252d67a7aa6d2e79a47411c391894c94c', 'width': 640, 'height': 640}], 'variants': {}, 'id': 'bzVmejV4MnFwd2hlMa0OkiSb4WLV-Gm6A6FIunAxb3qUiDNWa7wR9OnjYSm8'}], 'enabled': False} |
||
Radeon 7900 XTX | 1 | I have been looking for a used 3090 but somehow havent been able to secure a good deal in the range of \~600 euros but I have seen some 7900 XTX for like 100e more, is it as good as a 3090 if I want to run popular models like R1 distill or Qwen? I know as for raw performance, its counterpart is the 4090 (nvidia's more powerful and pricier, I know). | 2025-02-08T12:16:50 | https://www.reddit.com/r/LocalLLaMA/comments/1ikm0qg/radeon_7900_xtx/ | Theboyscampus | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikm0qg | false | null | t3_1ikm0qg | /r/LocalLLaMA/comments/1ikm0qg/radeon_7900_xtx/ | false | false | self | 1 | null |
Implementing Custom AI Chat in Power BI Pro: Alternative Solutions to CoPilot | 1 | [removed] | 2025-02-08T12:20:56 | https://www.reddit.com/r/LocalLLaMA/comments/1ikm35n/implementing_custom_ai_chat_in_power_bi_pro/ | Intrepid_Amount585 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikm35n | false | null | t3_1ikm35n | /r/LocalLLaMA/comments/1ikm35n/implementing_custom_ai_chat_in_power_bi_pro/ | false | false | self | 1 | null |
Implementing Custom AI Chat in Power BI Pro: Alternative Solutions to CoPilot | 1 | [removed] | 2025-02-08T12:24:37 | https://www.reddit.com/r/LocalLLaMA/comments/1ikm59v/implementing_custom_ai_chat_in_power_bi_pro/ | Old_Back_2860 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikm59v | false | null | t3_1ikm59v | /r/LocalLLaMA/comments/1ikm59v/implementing_custom_ai_chat_in_power_bi_pro/ | false | false | self | 1 | null |
Have a stock of Nvidia H100 Just Received | 1 | Now Got 100 Pcs Of H100 . Amazing . Any Buyers Here . From India | 2025-02-08T12:25:44 | https://www.reddit.com/r/LocalLLaMA/comments/1ikm5x4/have_a_stock_of_nvidia_h100_just_received/ | anurag03890 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikm5x4 | false | null | t3_1ikm5x4 | /r/LocalLLaMA/comments/1ikm5x4/have_a_stock_of_nvidia_h100_just_received/ | false | false | self | 1 | null |
Should I Stay in my current job or Move On? | 1 | [removed] | 2025-02-08T12:31:01 | https://www.reddit.com/r/LocalLLaMA/comments/1ikm8x0/should_i_stay_in_my_current_job_or_move_on/ | Disastrous-Trouble80 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikm8x0 | false | null | t3_1ikm8x0 | /r/LocalLLaMA/comments/1ikm8x0/should_i_stay_in_my_current_job_or_move_on/ | false | false | self | 1 | null |
Are Developers Using Local AI Models for Coding? Pros, Cons, and Use Cases | 1 | Is anyone using local models to help with coding? If so, how? If not, why not? | 2025-02-08T12:31:34 | https://www.reddit.com/r/LocalLLaMA/comments/1ikm999/are_developers_using_local_ai_models_for_coding/ | Muted_Estate890 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikm999 | false | null | t3_1ikm999 | /r/LocalLLaMA/comments/1ikm999/are_developers_using_local_ai_models_for_coding/ | false | false | self | 1 | null |
Single GPU with more VRAM or split between two? | 1 | [removed] | 2025-02-08T12:32:35 | https://www.reddit.com/r/LocalLLaMA/comments/1ikm9ux/single_gpu_with_more_vram_or_split_between_two/ | Fluffy_Sun1498 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikm9ux | false | null | t3_1ikm9ux | /r/LocalLLaMA/comments/1ikm9ux/single_gpu_with_more_vram_or_split_between_two/ | false | false | self | 1 | null |
DeepSeek not responding | 1 | [removed] | 2025-02-08T12:39:52 | https://www.reddit.com/r/LocalLLaMA/comments/1ikme4p/deepseek_not_responding/ | Forsaken-Caramel-563 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikme4p | false | null | t3_1ikme4p | /r/LocalLLaMA/comments/1ikme4p/deepseek_not_responding/ | false | false | self | 1 | null |
Are There any model that doesnt know its own identity? | 1 | Im curious if there are Models, specially open sourced nodel that is not hard trained to reply their model name ?
Eg. If i asked the Llama what is his name, he will reply that he is a language model called Llama... (Almost all models are like this)
Im curious about it and maybe they are better on Role Playing or something??
| 2025-02-08T12:46:33 | https://www.reddit.com/r/LocalLLaMA/comments/1ikmi8x/are_there_any_model_that_doesnt_know_its_own/ | nojukuramu | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikmi8x | false | null | t3_1ikmi8x | /r/LocalLLaMA/comments/1ikmi8x/are_there_any_model_that_doesnt_know_its_own/ | false | false | self | 1 | null |
Deepseek v3 inference outside of China? | 1 | [removed] | 2025-02-08T12:51:20 | https://www.reddit.com/r/LocalLLaMA/comments/1ikml54/deepseek_v3_inference_outside_of_china/ | Cheesuasion | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikml54 | false | null | t3_1ikml54 | /r/LocalLLaMA/comments/1ikml54/deepseek_v3_inference_outside_of_china/ | false | false | self | 1 | {'images': [{'source': {'url': 'https://external-preview.redd.it/1CngOduYcioxYVObov_7P9FoXV5OylGZqYL5Smsk4kQ.jpg?auto=webp&s=e04c3e7336e2b92aa5ba038d519e12e58ecb9f80', 'width': 1200, 'height': 630}, 'resolutions': [{'url': 'https://external-preview.redd.it/1CngOduYcioxYVObov_7P9FoXV5OylGZqYL5Smsk4kQ.jpg?width=108&crop=smart&auto=webp&s=b7a80b8d2b6e9d011d4b7bfdfe316a1bb4b7d551', 'width': 108, 'height': 56}, {'url': 'https://external-preview.redd.it/1CngOduYcioxYVObov_7P9FoXV5OylGZqYL5Smsk4kQ.jpg?width=216&crop=smart&auto=webp&s=b41a92cb183ff5ff4d757db9e0b3594a65c9d782', 'width': 216, 'height': 113}, {'url': 'https://external-preview.redd.it/1CngOduYcioxYVObov_7P9FoXV5OylGZqYL5Smsk4kQ.jpg?width=320&crop=smart&auto=webp&s=17061a529ce9e8d13a6d96a41ce9d9709f830067', 'width': 320, 'height': 168}, {'url': 'https://external-preview.redd.it/1CngOduYcioxYVObov_7P9FoXV5OylGZqYL5Smsk4kQ.jpg?width=640&crop=smart&auto=webp&s=173a50f03e5dcda0d0472778fd1d5a3ae77327dd', 'width': 640, 'height': 336}, {'url': 'https://external-preview.redd.it/1CngOduYcioxYVObov_7P9FoXV5OylGZqYL5Smsk4kQ.jpg?width=960&crop=smart&auto=webp&s=144d0e4ecc70f05ba619333a35b4fd84ef996da2', 'width': 960, 'height': 504}, {'url': 'https://external-preview.redd.it/1CngOduYcioxYVObov_7P9FoXV5OylGZqYL5Smsk4kQ.jpg?width=1080&crop=smart&auto=webp&s=4be66059dbe180adc2194259e7724ceef82e32ee', 'width': 1080, 'height': 567}], 'variants': {}, 'id': 'jZQBEDWXbvnDyPww1FdeBUYz4cLUgJWWNerNHUJvW0o'}], 'enabled': False} |
GPU suggestion to pair with 4090? | 1 | I’m currently getting roughly 2 t/s with a 70b q3 model (deepseek distill) using a 4090. It seems the best options to speed up generation would be a second 4090 or 3090. Before moving in that direction, I wanted to prod around and ask if there are any cheaper cards I could pair with my 4090 for even a slight bump in T/s generation?
I imagine that offloading additional layers to a second cad will be faster than offloading layers to GPU 0 / System ram, but wanted to know what my options are between adding a 3090 and perhaps a cheaper card. | 2025-02-08T13:00:39 | https://www.reddit.com/r/LocalLLaMA/comments/1ikmqxb/gpu_suggestion_to_pair_with_4090/ | BackgroundAmoebaNine | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikmqxb | false | null | t3_1ikmqxb | /r/LocalLLaMA/comments/1ikmqxb/gpu_suggestion_to_pair_with_4090/ | false | false | self | 1 | null |
[iOS] Botcast: Podcasts with TinyLlama and Kokoro | 1 | [removed] | 2025-02-08T13:03:23 | https://www.reddit.com/r/LocalLLaMA/comments/1ikmssh/ios_botcast_podcasts_with_tinyllama_and_kokoro/ | derjanni | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikmssh | false | null | t3_1ikmssh | /r/LocalLLaMA/comments/1ikmssh/ios_botcast_podcasts_with_tinyllama_and_kokoro/ | false | false | self | 1 | {'images': [{'source': {'url': 'https://external-preview.redd.it/coHaKKHCNyMF4kh8zrLUW-agxj7S22k8T5l1Rmtsqd4.jpg?auto=webp&s=283c45c5c6770e0af1e927fbacd4941913e9d0cc', 'width': 1200, 'height': 630}, 'resolutions': [{'url': 'https://external-preview.redd.it/coHaKKHCNyMF4kh8zrLUW-agxj7S22k8T5l1Rmtsqd4.jpg?width=108&crop=smart&auto=webp&s=c6bf52b2235df86f2993a2bc13ac4fc1795992f4', 'width': 108, 'height': 56}, {'url': 'https://external-preview.redd.it/coHaKKHCNyMF4kh8zrLUW-agxj7S22k8T5l1Rmtsqd4.jpg?width=216&crop=smart&auto=webp&s=e54425c7b4b99d308398bf8ca9299a10fd127344', 'width': 216, 'height': 113}, {'url': 'https://external-preview.redd.it/coHaKKHCNyMF4kh8zrLUW-agxj7S22k8T5l1Rmtsqd4.jpg?width=320&crop=smart&auto=webp&s=7c3456852e9fb3cd25969cf840bf79e051e61f3e', 'width': 320, 'height': 168}, {'url': 'https://external-preview.redd.it/coHaKKHCNyMF4kh8zrLUW-agxj7S22k8T5l1Rmtsqd4.jpg?width=640&crop=smart&auto=webp&s=e2be02b153a3d875be6290a50f205d8425528f92', 'width': 640, 'height': 336}, {'url': 'https://external-preview.redd.it/coHaKKHCNyMF4kh8zrLUW-agxj7S22k8T5l1Rmtsqd4.jpg?width=960&crop=smart&auto=webp&s=f961d05a6dd2a9f4c7a64aca771048a5e0ec9595', 'width': 960, 'height': 504}, {'url': 'https://external-preview.redd.it/coHaKKHCNyMF4kh8zrLUW-agxj7S22k8T5l1Rmtsqd4.jpg?width=1080&crop=smart&auto=webp&s=fe8d833fa0e637779c4d5896c25c3acc6bc7e3c9', 'width': 1080, 'height': 567}], 'variants': {}, 'id': 'MJTvfFxRjiDYUVuZBNtGtUEPjpJW2uujxMN9iYGruhs'}], 'enabled': False} |
Podcasts with TinyLlama and Kokoro on iOS | 1 | Hey Llama friends,
around a month ago I was on a flight back to Germany and hastily downloaded Podcasts before departure. Once airborne, I found all of them boring which had me sitting bored on a four hour flight. I had no coverage and the ones I had stored in the device turned out to be not really what I was into. That got me thiniking and I wanted to see if you could generate podcasts offline on my iPhone.
**tl;dr** before I get into the details, Botcast was approved by Apple an hour ago. Check it out if you are interested.
# The challenge of generating podcasts
I wanted an app that works offline and generates podcasts with decent voices. I went with TinyLlama 1.1B Chat v1.0 Q6\_K to generate the podcasts. My initial attempt was to generate each spoken line with an individual prompt, but it turned out that just prompting TinyLlama to generate a podcast transcript just worked fine. The podcasts are all chats between two people for which gender, name and voice are randomly selected.
The entire process of generating the transcript takes around a minute on my iPhone 14, much faster on the 16 Pro and around 3-4 minutes on the SE 2020. For the voices, I went with Kokoro 0.19 since these voices seem to be the best quality I could find that work on iOS. After some testing, I threw out the UK voices since those sounded much too robotic.
# Technical details of Botcast
Botcast is a native iOS app built with Xcode and written in Swift and SwiftUI. However, the majority of it is C/C++ simple because of llama.cpp for iOS and the necessary inference libraries for Kokoro on iOS. A ton of bridging between Swift and the frameworks, libraries is involved. That's also why I went with 18.2 minimum as stability on earlies iOS versions is just way too much work to ensure.
And as with all the audio stuff I did before, the app is brutally multi-threading both on the CPU, the Metal GPU and the Neural Core Engines. The app will need around 1.3 GB of RAM and hence has the entitlement to increase up to 3GB on iPhone 14, up to 1.4GB on SE 2020. Of course it also uses the extended memory areas of the GPU. Around 80% of bugfixing was simply getting the memory issues resolved.
When I first got it into TestFlight it simply crashed when Apple reviewed it. It wouldn't even launch. I had to upgrade some inference libraries and fiddle around with their instanciation. It's technically hitting the limits of the iPhone 14, but anything above that is perfectly smooth from my experience. Since it's also Mac Catalyst compatible, it works like a charm on my M1 Pro.
# Future of Botcast
Botcast is currently free and I intent to keep it like that. Next step is CarPlay support which I definitely want as well as Siri integration for "Generate". The idea is to have it do its thing completely hands free. Further, the inference supports streaming, so exploring the option to really have the generate and the playback run instantly to provide really instant real-time podcasts is also on the list.
Botcast was a lot of work and I am potentially looking into maybe giving it some customizing in the future and just charge a one-time fee for a pro version (e.g. custom prompting, different flavours of podcasts with some exclusive to a pro version). Pricing wise, a pro version will probably become something like $5 one-time fee as I'm totally not a fan of subscriptions for something that people run on their devices.
Let me know what you think about Botcast, what features you'd like to see or any questions you have. I'm totally excited and into Ollama, llama.cpp and all the stuff around it. It's just pure magical what you can do with llama.cpp on iOS. Performance is really strong even with Q6\_K quants. | 2025-02-08T13:07:14 | https://www.reddit.com/r/LocalLLaMA/comments/1ikmv9x/podcasts_with_tinyllama_and_kokoro_on_ios/ | derjanni | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikmv9x | false | null | t3_1ikmv9x | /r/LocalLLaMA/comments/1ikmv9x/podcasts_with_tinyllama_and_kokoro_on_ios/ | false | false | self | 1 | null |
Local Riffusion/Suno music model creation | 1 | I look forward to the age of Future AI Music Generation
As time goes on, we lose people and the only music that remains is what was made, there are bands wanting to live on after this loss, people still want to hear their music styles, they want to leave a legacy.. Take Elvis and his remade songs ‘I little more action’, or the Beatles ‘now and then’ from a lost recording of John Lennon or Kiss making themselves digital avatars. We have brilliant music makers like Moonic Productions that gives us a taste of styles applied to different songs, but soon great artist like Ozzy Osbourne and bands such as Ironmaiden will not be able to continue. Just imagine, if technology like Suno and Riffusion can make models based on artists, if we could only use their legacy in a more personal way, singing about their own lives and stories in their favourite style that they may not be able to replicate themselves. Enter the value of localLLM’s and open source projects such as YuE that could open the doors to make this possible, but the details on how to make these models are limited for good quality stuff like what Suno and Riffusion create. Can anyone suggest a good tutorial or a way to create a Riffusion clone locally maybe even something like what I mentioned above if you based it on an artist? I haven’t had much luck with YuE with generating anything close to Suno or Riffusion nor can I find any details about their model creation. | 2025-02-08T13:11:13 | https://www.reddit.com/r/LocalLLaMA/comments/1ikmxsz/local_riffusionsuno_music_model_creation/ | ihaag | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikmxsz | false | null | t3_1ikmxsz | /r/LocalLLaMA/comments/1ikmxsz/local_riffusionsuno_music_model_creation/ | false | false | self | 1 | null |
Qwen in the mac menu bar | 1 | Dear all, I Developed this app for Mac OS and I need some testers; since I love Qwen family models I’ve developed this app to enrich the productivity, working as a floating window over other apps. Comments are really appreciated! | 2025-02-08T13:20:00 | https://github.com/andreaturchet/Qwen4Mac | Zealousideal-Net1385 | github.com | 1970-01-01T00:00:00 | 0 | {} | 1ikn3m4 | false | null | t3_1ikn3m4 | /r/LocalLLaMA/comments/1ikn3m4/qwen_in_the_mac_menu_bar/ | false | false | 1 | {'images': [{'source': {'url': 'https://external-preview.redd.it/noY1h5Okrq7ZANvEw5MMNJGxiH9lTWE3nW0dM83KMT8.jpg?auto=webp&s=1f8444b38cf5b4e30c558270012f482c8e2287c3', 'width': 1200, 'height': 600}, 'resolutions': [{'url': 'https://external-preview.redd.it/noY1h5Okrq7ZANvEw5MMNJGxiH9lTWE3nW0dM83KMT8.jpg?width=108&crop=smart&auto=webp&s=d1f5129d6ddecb8d555220e6629917ca5dce3356', 'width': 108, 'height': 54}, {'url': 'https://external-preview.redd.it/noY1h5Okrq7ZANvEw5MMNJGxiH9lTWE3nW0dM83KMT8.jpg?width=216&crop=smart&auto=webp&s=b2af009042c0e2c1b08a9c51fb7dc09530dc5798', 'width': 216, 'height': 108}, {'url': 'https://external-preview.redd.it/noY1h5Okrq7ZANvEw5MMNJGxiH9lTWE3nW0dM83KMT8.jpg?width=320&crop=smart&auto=webp&s=688d2e9c8620634d852521f779f0b6dd98a45e51', 'width': 320, 'height': 160}, {'url': 'https://external-preview.redd.it/noY1h5Okrq7ZANvEw5MMNJGxiH9lTWE3nW0dM83KMT8.jpg?width=640&crop=smart&auto=webp&s=0e4ce9351cd888be2d92a844b79e910f95cc4e2d', 'width': 640, 'height': 320}, {'url': 'https://external-preview.redd.it/noY1h5Okrq7ZANvEw5MMNJGxiH9lTWE3nW0dM83KMT8.jpg?width=960&crop=smart&auto=webp&s=2316f9cddee6cb8925b7cd5abc2810c55df9077f', 'width': 960, 'height': 480}, {'url': 'https://external-preview.redd.it/noY1h5Okrq7ZANvEw5MMNJGxiH9lTWE3nW0dM83KMT8.jpg?width=1080&crop=smart&auto=webp&s=1cd12a4d43ec428e9c436b1c02c3eb176f6e57d6', 'width': 1080, 'height': 540}], 'variants': {}, 'id': 'YjYIxRwtxlKg9ICe_i_eDyjDjDEZwyeUW_2staUbLTA'}], 'enabled': False} |
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Your go to option for finet-uning LLMs | 1 | What is your preferred go to option for fine-tuning LLMs?
I am currently using google colab free version but it is very limited. tried kaggle as well but facing issues with OOM error with VRAM.
For a paid version is colab pro worth it? or are there any better options? | 2025-02-08T13:20:40 | https://www.reddit.com/r/LocalLLaMA/comments/1ikn434/your_go_to_option_for_finetuning_llms/ | MasterDragon_ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikn434 | false | null | t3_1ikn434 | /r/LocalLLaMA/comments/1ikn434/your_go_to_option_for_finetuning_llms/ | false | false | self | 1 | null |
Glyphstral-24b: Symbolic Deductive Reasoning Model | 1 | Hey Everyone!
So I've been really obsessed lately with symbolic AI and the potential to improve reasoning and multi-dimensional thinking. I decided to go ahead and see if I could train a model to use a framework I am calling "Glyph Code Logic Flow".
Essentially, it is a method of structured reasoning using deductive symbolic logic. You can learn more about it here [https://github.com/severian42/Computational-Model-for-Symbolic-Representations/tree/main](https://github.com/severian42/Computational-Model-for-Symbolic-Representations/tree/main)
I first tried training Deepeek R1-Qwen-14 and QWQ-32 but their heavily pre-trained reasoning data seemed to conflict with my approach, which makes sense given the different concepts and ways of breaking down the problem.
I opted for Mistral-Small-24b to see the results, and after 7 days of pure training 24hrs a day (all locally using MLX-Dora at 8bit on my Mac M1 64GB). In all, the model trained on about 27mil tokens of my custom GCLF dataset (each example was around 30k tokens, with a total of 4500 examples)
I still need to get the docs and repo together, as I will be releasing it this weekend, but I felt like sharing a quick preview since this unexpectedly worked out awesomely.
https://reddit.com/link/1ikn5fg/video/9h2mgdg02xhe1/player
| 2025-02-08T13:22:41 | https://www.reddit.com/r/LocalLLaMA/comments/1ikn5fg/glyphstral24b_symbolic_deductive_reasoning_model/ | vesudeva | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikn5fg | false | null | t3_1ikn5fg | /r/LocalLLaMA/comments/1ikn5fg/glyphstral24b_symbolic_deductive_reasoning_model/ | false | false | 1 | {'images': [{'source': {'url': 'https://external-preview.redd.it/DghrhJAW-NKneHTJvXZ7IAcBmIpZ_fU36ahUXITL0bM.jpg?auto=webp&s=f41b6d5f91a535dd651b663b336d5b658c1ca26c', 'width': 1200, 'height': 600}, 'resolutions': [{'url': 'https://external-preview.redd.it/DghrhJAW-NKneHTJvXZ7IAcBmIpZ_fU36ahUXITL0bM.jpg?width=108&crop=smart&auto=webp&s=5caf235b2726ea300457cd68c5c183edc725fd24', 'width': 108, 'height': 54}, {'url': 'https://external-preview.redd.it/DghrhJAW-NKneHTJvXZ7IAcBmIpZ_fU36ahUXITL0bM.jpg?width=216&crop=smart&auto=webp&s=b93d772b5d48daaae7ec83e88e2ef5c6945d4f78', 'width': 216, 'height': 108}, {'url': 'https://external-preview.redd.it/DghrhJAW-NKneHTJvXZ7IAcBmIpZ_fU36ahUXITL0bM.jpg?width=320&crop=smart&auto=webp&s=db4615209aadf8a2c7ad45ae6c3c23f972a814e3', 'width': 320, 'height': 160}, {'url': 'https://external-preview.redd.it/DghrhJAW-NKneHTJvXZ7IAcBmIpZ_fU36ahUXITL0bM.jpg?width=640&crop=smart&auto=webp&s=0ad5bc295749b594e323b350912e29031d02d474', 'width': 640, 'height': 320}, {'url': 'https://external-preview.redd.it/DghrhJAW-NKneHTJvXZ7IAcBmIpZ_fU36ahUXITL0bM.jpg?width=960&crop=smart&auto=webp&s=a0e997eb4fae50655b9611842816dd9490f43d9c', 'width': 960, 'height': 480}, {'url': 'https://external-preview.redd.it/DghrhJAW-NKneHTJvXZ7IAcBmIpZ_fU36ahUXITL0bM.jpg?width=1080&crop=smart&auto=webp&s=8efac3837e1d8ea8996d1e3302a374580f1b9e25', 'width': 1080, 'height': 540}], 'variants': {}, 'id': 'NrUxi-aQwOTRiIFtj7jTNuydh6LCzInrKdNw93T7Y74'}], 'enabled': False} |
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Simple local RAG setup for Markdown notes | 1 | [removed] | 2025-02-08T13:26:16 | https://www.reddit.com/r/LocalLLaMA/comments/1ikn7sh/simple_local_rag_setup_for_markdown_notes/ | apukone | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikn7sh | false | null | t3_1ikn7sh | /r/LocalLLaMA/comments/1ikn7sh/simple_local_rag_setup_for_markdown_notes/ | false | false | self | 1 | {'images': [{'source': {'url': 'https://external-preview.redd.it/1Xmr6GoOeSf67p1s4hyjq6mRxU-TFl1zbDQhj7WDwW0.jpg?auto=webp&s=87b743e86d495002edafac82c33be2c15a6253e0', 'width': 1200, 'height': 600}, 'resolutions': [{'url': 'https://external-preview.redd.it/1Xmr6GoOeSf67p1s4hyjq6mRxU-TFl1zbDQhj7WDwW0.jpg?width=108&crop=smart&auto=webp&s=fa90ab96e628f57e4d56daf78fd4b48b786087ab', 'width': 108, 'height': 54}, {'url': 'https://external-preview.redd.it/1Xmr6GoOeSf67p1s4hyjq6mRxU-TFl1zbDQhj7WDwW0.jpg?width=216&crop=smart&auto=webp&s=4e7f4ac44ece4f0f59453d726ac8f0e540be811f', 'width': 216, 'height': 108}, {'url': 'https://external-preview.redd.it/1Xmr6GoOeSf67p1s4hyjq6mRxU-TFl1zbDQhj7WDwW0.jpg?width=320&crop=smart&auto=webp&s=7fee3ddf91928eaf98fed8a72cc51acb3bcfbf93', 'width': 320, 'height': 160}, {'url': 'https://external-preview.redd.it/1Xmr6GoOeSf67p1s4hyjq6mRxU-TFl1zbDQhj7WDwW0.jpg?width=640&crop=smart&auto=webp&s=9c0cbebaa5faec84028c9c819c06d61598085808', 'width': 640, 'height': 320}, {'url': 'https://external-preview.redd.it/1Xmr6GoOeSf67p1s4hyjq6mRxU-TFl1zbDQhj7WDwW0.jpg?width=960&crop=smart&auto=webp&s=9b2908235ec6c9a4d4c038aa746ac1b7a3a7cd7a', 'width': 960, 'height': 480}, {'url': 'https://external-preview.redd.it/1Xmr6GoOeSf67p1s4hyjq6mRxU-TFl1zbDQhj7WDwW0.jpg?width=1080&crop=smart&auto=webp&s=6c71f2ee4c02e817ff4f20a13e39b3a655c40faa', 'width': 1080, 'height': 540}], 'variants': {}, 'id': 'CI_gbyvLlp6ndFKeGBEdtzt77pX1GNDQUGgc8arhcWk'}], 'enabled': False} |
How Linux is better for local llm's since nvidia drivers not as good as on windows? | 1 | [removed] | 2025-02-08T13:28:07 | https://www.reddit.com/r/LocalLLaMA/comments/1ikn8zb/how_linux_is_better_for_local_llms_since_nvidia/ | narca_hakan | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikn8zb | false | null | t3_1ikn8zb | /r/LocalLLaMA/comments/1ikn8zb/how_linux_is_better_for_local_llms_since_nvidia/ | false | false | self | 1 | null |
Transformers are over, new revolutionary architecture called "SQL" speeds up inference x30 and runs on CPUs | 1 | 2025-02-08T13:44:08 | https://arxiv.org/abs/2502.02818 | Elven77AI | arxiv.org | 1970-01-01T00:00:00 | 0 | {} | 1iknk14 | false | null | t3_1iknk14 | /r/LocalLLaMA/comments/1iknk14/transformers_are_over_new_revolutionary/ | false | false | default | 1 | null |
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Linking llm to file locations not files themselves? | 1 | [removed] | 2025-02-08T13:44:16 | https://www.reddit.com/r/LocalLLaMA/comments/1iknk47/linking_llm_to_file_locations_not_files_themselves/ | planecrazy242 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iknk47 | false | null | t3_1iknk47 | /r/LocalLLaMA/comments/1iknk47/linking_llm_to_file_locations_not_files_themselves/ | false | false | self | 1 | null |
Help | 1 | [removed] | 2025-02-08T13:45:17 | https://www.reddit.com/r/LocalLLaMA/comments/1iknkus/help/ | Shot-Chemical5131 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iknkus | false | null | t3_1iknkus | /r/LocalLLaMA/comments/1iknkus/help/ | false | false | self | 1 | null |
Does anyone have a creative method to run DeepSeek R1 or large open-source LLMs on weaker systems? | 1 | [removed] | 2025-02-08T13:47:15 | https://www.reddit.com/r/LocalLLaMA/comments/1iknm7t/does_anyone_have_a_creative_method_to_run/ | Super_Concentrate761 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iknm7t | false | null | t3_1iknm7t | /r/LocalLLaMA/comments/1iknm7t/does_anyone_have_a_creative_method_to_run/ | false | false | self | 1 | null |
DeepSeek-r1:1.5b not generating response | 1 | [removed] | 2025-02-08T13:49:15 | https://www.reddit.com/r/LocalLLaMA/comments/1iknnnj/deepseekr115b_not_generating_response/ | CloakedByte | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iknnnj | false | null | t3_1iknnnj | /r/LocalLLaMA/comments/1iknnnj/deepseekr115b_not_generating_response/ | false | false | 1 | null |
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What are the best small models for multi turn conversations? | 1 | Title, wondering if there are any models that do better with multi turn. Same way that Sonnet tends to do better | 2025-02-08T13:51:36 | https://www.reddit.com/r/LocalLLaMA/comments/1iknpaz/what_are_the_best_small_models_for_multi_turn/ | crazyhorror | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iknpaz | false | null | t3_1iknpaz | /r/LocalLLaMA/comments/1iknpaz/what_are_the_best_small_models_for_multi_turn/ | false | false | self | 1 | null |
Pc upgradation | 1 | I currently have an i7 12th generation processor, 16GB of RAM, and a GTX 1650 GPU. I'm working on projects to train a generative AI model for a specific task. Can you recommend a good upgrade for my system, perhaps for 24B
Sorry if I'm asking a dumb question. I'm a beginner in this field. | 2025-02-08T13:53:07 | https://www.reddit.com/r/LocalLLaMA/comments/1iknqbp/pc_upgradation/ | Particular_Garbage32 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iknqbp | false | null | t3_1iknqbp | /r/LocalLLaMA/comments/1iknqbp/pc_upgradation/ | false | false | self | 1 | null |
What are the major improvements from 2017 that lead to current SOTA LLM? | 1 | I would like to update my knowledge on transformers architecture since the foundational Attention is all you need paper from 2017. I'm struggling to find (or generate) a synthetic trustful resource that provides a high-level picture of the major improvements to the SOTA since then.
Can we identify the major LLM architectural evolutions from the last few years? I suggest we don't cover the multimodal topics unless directly applicable to LLM.
For example, the RoPE paper from 2021 [https://arxiv.org/pdf/2104.09864](https://arxiv.org/pdf/2104.09864) that introduces rotary position embeddings seems a major update that reduces the dependency of explicit position encoding into the embeddings. | 2025-02-08T14:03:20 | https://www.reddit.com/r/LocalLLaMA/comments/1iknxmq/what_are_the_major_improvements_from_2017_that/ | Doug_Fripon | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iknxmq | false | null | t3_1iknxmq | /r/LocalLLaMA/comments/1iknxmq/what_are_the_major_improvements_from_2017_that/ | false | false | self | 1 | null |
Hardware requirements and advice for model dealing with 3K tokens. | 1 | I am looking to run a 32B model for a task with max 3K tokens input and output each. I know that mainly the resources needed to run an LLM are the parameter sizes.
But the data server I am going to rent offers 64 gigs of RAM as a base. Would I be able to run the model as is and not expect very long delays in processing? or is GPU a must-have? If yes then will it be okay if it's a consumer-grade GPU like 3080 or does it need to be enterprise? | 2025-02-08T14:08:14 | https://www.reddit.com/r/LocalLLaMA/comments/1iko12u/hardware_requirements_and_advice_for_model/ | MohtashimSadiq | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iko12u | false | null | t3_1iko12u | /r/LocalLLaMA/comments/1iko12u/hardware_requirements_and_advice_for_model/ | false | false | self | 1 | null |
Hardware requirements and advice for model 32B model dealing with 3K tokens. | 1 | I am looking to run a 32B model for a task with max 3K tokens input and output each. I know that mainly the resources needed to run an LLM are the parameter sizes.
But the data server I am going to rent offers 64 gigs of RAM as a base. Would I be able to run the model as is and not expect very long delays in processing? or is GPU a must-have? If yes then will it be okay if it's a consumer-grade GPU like 3080 or does it need to be enterprise? | 2025-02-08T14:09:32 | https://www.reddit.com/r/LocalLLaMA/comments/1iko20f/hardware_requirements_and_advice_for_model_32b/ | MohtashimSadiq | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iko20f | false | null | t3_1iko20f | /r/LocalLLaMA/comments/1iko20f/hardware_requirements_and_advice_for_model_32b/ | false | false | self | 1 | null |
How do the models always answer in correct English when much of the web has badly written and incorrect English? | 1 | I was wondering how the training works to achieve this | 2025-02-08T14:15:17 | https://www.reddit.com/r/LocalLLaMA/comments/1iko5y3/how_do_the_models_always_answer_in_correct/ | MrMrsPotts | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iko5y3 | false | null | t3_1iko5y3 | /r/LocalLLaMA/comments/1iko5y3/how_do_the_models_always_answer_in_correct/ | false | false | self | 1 | null |
What are the best models for code autocomplete (like cursor autocomplete)? | 1 | that's it. i decided to use my small GPU to host not a full coding assistant, but rather a good autocomplete, and invest the money i'd have spent on a huge GPU to pay for APIs.
but then which model to choose? i'm trying currently qwen 1.5B, heard some good things about startcoder 3B. what is your experience? are there really good autocomplete-specialized models out there? like many here, i'm looking for that cursor experience but in a cheaper way. I think the largest my GPU would be able to handle is something around 5B unquantized, maybe 14B with reasonable quantization.
also, are there benchmarks for this particular task? i've seen some benchmarks but haven't found their actual results. | 2025-02-08T14:46:04 | https://www.reddit.com/r/LocalLLaMA/comments/1ikosn5/what_are_the_best_models_for_code_autocomplete/ | vniversvs_ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikosn5 | false | null | t3_1ikosn5 | /r/LocalLLaMA/comments/1ikosn5/what_are_the_best_models_for_code_autocomplete/ | false | false | self | 1 | null |
Crafting an AI Agent | 1 | Ok so here's my problem, not sure if AI is the best tool for the job, but by the look it seems fit
So i have a collection of video bookmarks, for which i have metadata (title and channel mainly). Currently they are organized manually in a hierarchical directory structure.
I would like to
\- have it done automatically (or at least get a suggestion to manually validate)
\- change to or add a tag based classification
How would you go about it?
| 2025-02-08T14:49:39 | https://www.reddit.com/r/LocalLLaMA/comments/1ikovbp/crafting_an_ai_agent/ | goingsplit | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikovbp | false | null | t3_1ikovbp | /r/LocalLLaMA/comments/1ikovbp/crafting_an_ai_agent/ | false | false | self | 1 | null |
Is it possible for ChatGPT and Deepseek to play Go? | 1 | ChatGPT is black (closed one), DeepSeek is the white (open one). can anybody design a program to make them fight with each other? | 2025-02-08T14:55:06 | https://www.reddit.com/r/LocalLLaMA/comments/1ikozre/is_it_possible_for_chatgpt_and_deepseek_to_play_go/ | Junior-Education8608 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikozre | false | null | t3_1ikozre | /r/LocalLLaMA/comments/1ikozre/is_it_possible_for_chatgpt_and_deepseek_to_play_go/ | false | false | self | 1 | null |
GeForce RTX 5090 fails to topple RTX 4090 in GPU compute benchmark. | 1 | So uh. Anyone have a good reason to upgrade from 4090 to 5090?
VRAM? Power? Paper specs? Future updates? | 2025-02-08T15:02:14 | https://www.notebookcheck.net/GeForce-RTX-5090-fails-to-topple-RTX-4090-in-GPU-compute-benchmark-while-RTX-5080-struggles-against-RTX-4070-Ti.958334.0.html | el0_0le | notebookcheck.net | 1970-01-01T00:00:00 | 0 | {} | 1ikp5ko | false | null | t3_1ikp5ko | /r/LocalLLaMA/comments/1ikp5ko/geforce_rtx_5090_fails_to_topple_rtx_4090_in_gpu/ | false | false | default | 1 | null |
Is there any way to get context from a codebase running in a docker container? | 1 | I have a relatively large codebase (about 5 million loc) running within a container.
I'm currently developing a plugin for it locally and pushing the changes onto the container via sftp, in order to test them.
Is there a plugin or something along these lines, that would allow me to get context form the actual codebase relatively quickly in a situation like this? Currently using windsurf and roo.
Any help would be greatly appreciated! | 2025-02-08T15:03:02 | https://www.reddit.com/r/LocalLLaMA/comments/1ikp67k/is_there_any_way_to_get_context_from_a_codebase/ | stopthecope | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikp67k | false | null | t3_1ikp67k | /r/LocalLLaMA/comments/1ikp67k/is_there_any_way_to_get_context_from_a_codebase/ | false | false | self | 1 | null |
How to understand the pass@1 formula in deepseek-r1's technical report? | 1 | 2025-02-08T15:05:33 | https://www.reddit.com/r/LocalLLaMA/comments/1ikp8af/how_to_understand_the_pass1_formula_in/ | secsilm | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikp8af | false | null | t3_1ikp8af | /r/LocalLLaMA/comments/1ikp8af/how_to_understand_the_pass1_formula_in/ | false | false | 1 | null |
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Can you finetune instructions into a model without examples of how to follow those instructions? | 1 | I have been reading things like [https://arxiv.org/pdf/2501.11120](https://arxiv.org/pdf/2501.11120) and [https://x.com/flowersslop/status/1873115669568311727](https://x.com/flowersslop/status/1873115669568311727) that show that a model "knows" what it has been finetuned on-- that is, if you finetune it to perform some particular task, it can tell you what it has been finetuned to do. This made me think that maybe putting things in the finetuning data was more like putting things in the prompt than I had previously supposed. One way I thought of to test this was to finetune it with instructions like "never say the word 'the' " but \*without\* any examples of following those instructions. If it followed the instructions when you did inference, this would mean it was treating the finetuning data as if it were a prompt. Has anyone ever tried this experiment? | 2025-02-08T15:07:26 | https://www.reddit.com/r/LocalLLaMA/comments/1ikp9r3/can_you_finetune_instructions_into_a_model/ | summerstay | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikp9r3 | false | null | t3_1ikp9r3 | /r/LocalLLaMA/comments/1ikp9r3/can_you_finetune_instructions_into_a_model/ | false | false | self | 1 | null |
Local alternative to Cursor's cursor prediction? | 1 | I really like how Cursor can predict my next movements, or what comes next after I have applied some code.
Therefore, I was wondering if there are any other alternatives that I can plug in and start using it locally? If not, how hard/costly would it be to train one? | 2025-02-08T15:13:01 | https://www.reddit.com/r/LocalLLaMA/comments/1ikpe7d/local_alternative_to_cursors_cursor_prediction/ | Round_Mixture_7541 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikpe7d | false | null | t3_1ikpe7d | /r/LocalLLaMA/comments/1ikpe7d/local_alternative_to_cursors_cursor_prediction/ | false | false | self | 1 | null |
Lab setup for local AI development help needed. | 1 | [removed] | 2025-02-08T15:14:15 | https://www.reddit.com/r/LocalLLaMA/comments/1ikpf8q/lab_setup_for_local_ai_development_help_needed/ | Marslauncher | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikpf8q | false | null | t3_1ikpf8q | /r/LocalLLaMA/comments/1ikpf8q/lab_setup_for_local_ai_development_help_needed/ | false | false | self | 1 | null |
What's your system prompt for day-to-day? | 1 | [removed] | 2025-02-08T15:15:19 | https://www.reddit.com/r/LocalLLaMA/comments/1ikpg3g/whats_your_system_prompt_for_daytoday/ | einmaulwurf | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikpg3g | false | null | t3_1ikpg3g | /r/LocalLLaMA/comments/1ikpg3g/whats_your_system_prompt_for_daytoday/ | false | false | self | 1 | {'images': [{'source': {'url': 'https://external-preview.redd.it/P8lS0kk6BFe2IEo6TxCZd1LVwksc34IkzGTVx_SCc8w.jpg?auto=webp&s=b9f5c4e4867fbffb2c1ff45dd70aa338d1e3f40c', 'width': 150, 'height': 150}, 'resolutions': [{'url': 'https://external-preview.redd.it/P8lS0kk6BFe2IEo6TxCZd1LVwksc34IkzGTVx_SCc8w.jpg?width=108&crop=smart&auto=webp&s=3d74dbe4f1d67cc8b587db9aa01762f26e269bcf', 'width': 108, 'height': 108}], 'variants': {}, 'id': 'OgFzGCIRw1ZxjMOSkfV1OiH-_nQiZl8rzSonmOAuhGs'}], 'enabled': False} |
Trouble with running llama.cpp with Deepseek-R1 on 4x NVME raid0. | 1 | I am trying to get some speed benefit out of running llama.cpp with the model (Deepseek-R1, 671B, Q2) on a 4x nvme raid0 in comparison to a single nvme. But running it from raid yields a much, much lower inference speed than running it from a single disk.
The raid0, with 16 PCIe (4.0) lanes in total, yields 25GB/s (with negligible CPU usage) when benchmarked with fio (for sequential reads in 1MB chunks), the single nvme yields 7GB/s.
With the model mem-mapped from the single disk, I get 1.2t/s (no GPU offload), with roughly 40%-50% of CPU usage by llama.cpp, so it seems I/O is the bottleneck in this case. But with the model mem-mapped from the raid I get merely <0.1 t/s, tens of seconds per token, with the CPU fully utilized.
My first wild guess here is that llama.cpp does very small, discontinuous, random reads, which causes a lot of CPU overhead, when reading from a software raid.
I tested/tried the following things also:
- Filesystem doesn't matter, tried ext4, btrfs, f2fs on the raid.
- md-raid (set up with mdadm) vs. btrfs-raid0 did not make a difference.
- In an attempt to reduce CPU overhead I used only 2 instead of 4 nvmes for raid0 -> no improvement
- Put swap on the raid array, and invoked llama.cpp with --no-mmap, to force the majority of the model into that swap: 0.5-0.7 t/s, so while better than mem-mapping from the raid, still slower than mem-mapping from a single disk.
- dissolved the raid, and put the parts of split gguf (4 pieces), onto a separate Filesystem/nvme each: Expectedly, the same speed as from a single nvme (1.2 t/s), since llama.cpp doesn't seem to read the parts in parallel.
- With raid0, tinkered with various stripe sizes and block sizes, always making sure they are well aligned: Negligible differences in speed.
So is there any way to get some use for llama.cpp out of those 4 NVMEs, with 16 direct-to-cpu PCIe lanes to them? I'd be happy if I could get llama.cpp inference to be at least a tiny bit faster with those than running simply from a single device.
With simply writing/reading huge files, I get incredibly high speeds out of that array. | 2025-02-08T15:29:24 | https://www.reddit.com/r/LocalLLaMA/comments/1ikprg7/trouble_with_running_llamacpp_with_deepseekr1_on/ | U_A_beringianus | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikprg7 | false | null | t3_1ikprg7 | /r/LocalLLaMA/comments/1ikprg7/trouble_with_running_llamacpp_with_deepseekr1_on/ | false | false | self | 1 | null |
A TTS model with specific entonation? | 1 | I have been searching for TTS models that can specify the entonation voice desired (happy, sad, and many others like whispers). I found the F5 TTS model finetuned with brazilian Portuguese language (it's the language what I want to generate the audios) but even using audios with the desired entonation, the model still uses the phrase context to give emotion or entonation or don't give any emotion at all.
I was wondering if I finetune this model (or the other one: XTTS v2) with a specific dataset that has the entonation desired and finetune this model, it will generate audios only with this entonation?
Do you think it's possible? I mean, if I finetune a model only with angry audios, the model will generate only angry audios? or this just not gonna work and still generate audios by the phrase context? I'm questioning this before any dataset preparation and starting the fine-tuning.
Someone already did this test?
My final plan with this question is to finetune multiple models, each one with specific entonation. Then, when generates an audio, first the algorithm will select an TTS model finetuned by the entonation chosed, then, the chosed model will generate the audios. So, I will have more control with the entonations if this idea work | 2025-02-08T15:33:37 | https://www.reddit.com/r/LocalLLaMA/comments/1ikpuwn/a_tts_model_with_specific_entonation/ | RodrigoDNGT | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikpuwn | false | null | t3_1ikpuwn | /r/LocalLLaMA/comments/1ikpuwn/a_tts_model_with_specific_entonation/ | false | false | self | 1 | null |
Looking for Agent Dev to test my dev tool project for AI Agents | 1 | [removed] | 2025-02-08T15:50:54 | https://www.reddit.com/r/LocalLLaMA/comments/1ikq8j5/looking_for_agent_dev_to_test_my_dev_tool_project/ | suvsuvsuv | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikq8j5 | false | null | t3_1ikq8j5 | /r/LocalLLaMA/comments/1ikq8j5/looking_for_agent_dev_to_test_my_dev_tool_project/ | false | false | self | 1 | null |
Inexpensive RAG system for a pen & paper game | 1 | Hi guys,
A friend and I are working on a project where you can simulate your pen & paper worlds with AI. To do so we want to use a sort of "Oracle" that can retrieve relevant information from the world lore. We've tested the Assistant's API from OpenAI extensively and it worked pretty well. It's not a hundred percent accurate, but works well enough - let's say out of 10 prompts, maybe 8 are correct.
However, we were shocked when we discovered the costs: After half an hour of playing around and prompting, I had already racked up more than half a million of input tokens and was billed 8 dollars, and that only with 3 PDF documents used less than 100mb in size. So obviously that is not a solution that is usable - it's just way too expensive. Now I know that there are ways to reduce the chunk size and limit the input tokens, but my friend was not convinced and to be honest he lost quite a bit of motivation because of it. Now the onus is on me to prove him that what we want to do is realistic.
Is there a way to build a RAG system for this use case that is affordable and realistic to build yourself - or am I out of luck? And if yes, what would it entail, what's the best way to do it? I do know how to code and am studying CS - so if I had to I think I would build it myself, but what I'd like to know is whether it is realistic to build a RAG system that is- let's say 10-100 cheaper than OpenAI's assistant but performs equally well (for the above use case).
I've heard that a lot depends on data preparation - but that is something I could do as well, manual data processing and creating structured data from it, etc. etc. | 2025-02-08T16:08:00 | https://www.reddit.com/r/LocalLLaMA/comments/1ikqmxv/inexpensive_rag_system_for_a_pen_paper_game/ | Valuevow | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikqmxv | false | null | t3_1ikqmxv | /r/LocalLLaMA/comments/1ikqmxv/inexpensive_rag_system_for_a_pen_paper_game/ | false | false | self | 1 | null |
Which models do you run locally? | 1 | Also, if you are using a specific model heavily? which factors stood out for you? | 2025-02-08T16:14:15 | https://www.reddit.com/r/LocalLLaMA/comments/1ikqsal/which_models_do_you_run_locally/ | santhosh1993 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikqsal | false | null | t3_1ikqsal | /r/LocalLLaMA/comments/1ikqsal/which_models_do_you_run_locally/ | false | false | self | 1 | null |
Building an LLM-Optimized Linux Server on a Budget | 1 | Based on these benchmarks wouldn’t buying a Mac Studio with 128 GB RAM M2 Ultra 60 or 72 core be far better than traditional dedicated PC builds? | 2025-02-08T16:21:16 | https://linuxblog.io/build-llm-linux-server-on-budget/ | Unprotectedtxt | linuxblog.io | 1970-01-01T00:00:00 | 0 | {} | 1ikqy5w | false | null | t3_1ikqy5w | /r/LocalLLaMA/comments/1ikqy5w/building_an_llmoptimized_linux_server_on_a_budget/ | false | false | 1 | {'images': [{'source': {'url': 'https://external-preview.redd.it/9ar9q08cZR3Pnd8Hxka6_rkxXup9YdrkJJw3Y1V7agI.jpg?auto=webp&s=6189aef8306f2678a06095fdd223d1536b7af4a4', 'width': 868, 'height': 694}, 'resolutions': [{'url': 'https://external-preview.redd.it/9ar9q08cZR3Pnd8Hxka6_rkxXup9YdrkJJw3Y1V7agI.jpg?width=108&crop=smart&auto=webp&s=2742aa70ac3eb346141a936dddf25e260d45bc34', 'width': 108, 'height': 86}, {'url': 'https://external-preview.redd.it/9ar9q08cZR3Pnd8Hxka6_rkxXup9YdrkJJw3Y1V7agI.jpg?width=216&crop=smart&auto=webp&s=be949aa5c4455c4b8bb5a651be93553e95530801', 'width': 216, 'height': 172}, {'url': 'https://external-preview.redd.it/9ar9q08cZR3Pnd8Hxka6_rkxXup9YdrkJJw3Y1V7agI.jpg?width=320&crop=smart&auto=webp&s=e2faa5080070b981709cd8bef626fdb572971ae9', 'width': 320, 'height': 255}, {'url': 'https://external-preview.redd.it/9ar9q08cZR3Pnd8Hxka6_rkxXup9YdrkJJw3Y1V7agI.jpg?width=640&crop=smart&auto=webp&s=7da33d2c9a8a6d7c6f95f5206eb1b4796158fe2f', 'width': 640, 'height': 511}], 'variants': {}, 'id': 'IuPRvIUAgIGaOSMeENEwJZHwwxm4guOYIv8rvomfLAY'}], 'enabled': False} |
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Which Gpu should i choose ? | 1 | [removed] | 2025-02-08T16:24:46 | https://www.reddit.com/r/LocalLLaMA/comments/1ikr10b/which_gpu_should_i_choose/ | B_O_TX | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikr10b | false | null | t3_1ikr10b | /r/LocalLLaMA/comments/1ikr10b/which_gpu_should_i_choose/ | false | false | self | 1 | null |
Which gpu to Choose | 1 | [removed] | 2025-02-08T16:26:51 | https://www.reddit.com/r/LocalLLaMA/comments/1ikr2os/which_gpu_to_choose/ | B_O_TX | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikr2os | false | null | t3_1ikr2os | /r/LocalLLaMA/comments/1ikr2os/which_gpu_to_choose/ | false | false | self | 1 | null |
Photonics. 30x efficiency? | 1 | Please cost less than a car... PCIe card:
[https://qant.com/photonic-computing/](https://qant.com/photonic-computing/)
Apparently Nvidia and TSMC have created a photonics chip as well:
[https://wccftech.com/nvidia-tsmc-develop-advanced-silicon-photonic-chip-prototype-says-report/](https://wccftech.com/nvidia-tsmc-develop-advanced-silicon-photonic-chip-prototype-says-report/) | 2025-02-08T16:37:30 | https://www.reddit.com/r/LocalLLaMA/comments/1ikrbhw/photonics_30x_efficiency/ | mr_happy_nice | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikrbhw | false | null | t3_1ikrbhw | /r/LocalLLaMA/comments/1ikrbhw/photonics_30x_efficiency/ | false | false | self | 1 | {'images': [{'source': {'url': 'https://external-preview.redd.it/Er9HYpsbHXKZjyqHUdhG52ugoVtDxGK981lrCHl9uTs.jpg?auto=webp&s=218ca239bf203220346e5cf2d746ab3dfc20f225', 'width': 1024, 'height': 453}, 'resolutions': [{'url': 'https://external-preview.redd.it/Er9HYpsbHXKZjyqHUdhG52ugoVtDxGK981lrCHl9uTs.jpg?width=108&crop=smart&auto=webp&s=db5d3b7c8f1b69fd81377e44077ed4b05e167f64', 'width': 108, 'height': 47}, {'url': 'https://external-preview.redd.it/Er9HYpsbHXKZjyqHUdhG52ugoVtDxGK981lrCHl9uTs.jpg?width=216&crop=smart&auto=webp&s=6b6bed2a0dd3abbf0ee538d7b67b78297703b057', 'width': 216, 'height': 95}, {'url': 'https://external-preview.redd.it/Er9HYpsbHXKZjyqHUdhG52ugoVtDxGK981lrCHl9uTs.jpg?width=320&crop=smart&auto=webp&s=555cd71688c7575713da8019861792408abe80aa', 'width': 320, 'height': 141}, {'url': 'https://external-preview.redd.it/Er9HYpsbHXKZjyqHUdhG52ugoVtDxGK981lrCHl9uTs.jpg?width=640&crop=smart&auto=webp&s=64124ad0527b842605d381a503e33134442a869f', 'width': 640, 'height': 283}, {'url': 'https://external-preview.redd.it/Er9HYpsbHXKZjyqHUdhG52ugoVtDxGK981lrCHl9uTs.jpg?width=960&crop=smart&auto=webp&s=27c94bb3a28c6aa62a1e1d068db468bce12e7760', 'width': 960, 'height': 424}], 'variants': {}, 'id': 'EzY-pSfnQHLuz6wcIubT3BLf-tfuPDQES4QxmztW8kw'}], 'enabled': False} |
Where has my voice function gone? | 1 | Occasionally I will use voice to chat with META when I'm lazy to type but today it has completely disappeared. I can't find the voice function at all and It also just says "with Llama" not "Llama 3.1" or whatever it was up to. I miss chatting with Judy Dench 😅😂 What happened to it? | 2025-02-08T16:41:25 | https://www.reddit.com/r/LocalLLaMA/comments/1ikrew4/where_has_my_voice_function_gone/ | fakehungerpains | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikrew4 | false | null | t3_1ikrew4 | /r/LocalLLaMA/comments/1ikrew4/where_has_my_voice_function_gone/ | false | false | self | 1 | null |
Running Llama 70b online | 1 | [removed] | 2025-02-08T16:43:00 | https://www.reddit.com/r/LocalLLaMA/comments/1ikrga1/running_llama_70b_online/ | Vectorsimp | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikrga1 | false | null | t3_1ikrga1 | /r/LocalLLaMA/comments/1ikrga1/running_llama_70b_online/ | false | false | self | 1 | null |
There May Not be Aha Moment in R1-Zero-like Training | 1 | [https://oatllm.notion.site/oat-zero](https://oatllm.notion.site/oat-zero)
There May Not be Aha Moment in R1-Zero-like Training
>
P.S. I am not affiliated with the authors | 2025-02-08T16:43:40 | https://www.reddit.com/r/LocalLLaMA/comments/1ikrgto/there_may_not_be_aha_moment_in_r1zerolike_training/ | henryclw | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikrgto | false | null | t3_1ikrgto | /r/LocalLLaMA/comments/1ikrgto/there_may_not_be_aha_moment_in_r1zerolike_training/ | false | false | self | 1 | {'images': [{'source': {'url': 'https://external-preview.redd.it/4NSI81a-y2NzohkTH8p0go2MgriTyWdJ032uC9BxMQQ.jpg?auto=webp&s=114719ba723c69929be453b4a34ed7877ff4faf4', 'width': 1200, 'height': 630}, 'resolutions': [{'url': 'https://external-preview.redd.it/4NSI81a-y2NzohkTH8p0go2MgriTyWdJ032uC9BxMQQ.jpg?width=108&crop=smart&auto=webp&s=52fb8510d65775827a66c31c2f35d18ef510a364', 'width': 108, 'height': 56}, {'url': 'https://external-preview.redd.it/4NSI81a-y2NzohkTH8p0go2MgriTyWdJ032uC9BxMQQ.jpg?width=216&crop=smart&auto=webp&s=05cc03429603dbc0573cc419348167247458b52c', 'width': 216, 'height': 113}, {'url': 'https://external-preview.redd.it/4NSI81a-y2NzohkTH8p0go2MgriTyWdJ032uC9BxMQQ.jpg?width=320&crop=smart&auto=webp&s=14fbbfbbe9ebbeb108beb73de3bbd7d61951b3f3', 'width': 320, 'height': 168}, {'url': 'https://external-preview.redd.it/4NSI81a-y2NzohkTH8p0go2MgriTyWdJ032uC9BxMQQ.jpg?width=640&crop=smart&auto=webp&s=01268da29e6bcc0fe2628d7759993f3fe8979407', 'width': 640, 'height': 336}, {'url': 'https://external-preview.redd.it/4NSI81a-y2NzohkTH8p0go2MgriTyWdJ032uC9BxMQQ.jpg?width=960&crop=smart&auto=webp&s=c92f2ab867e1c82e01752a12552615befe157086', 'width': 960, 'height': 504}, {'url': 'https://external-preview.redd.it/4NSI81a-y2NzohkTH8p0go2MgriTyWdJ032uC9BxMQQ.jpg?width=1080&crop=smart&auto=webp&s=612db5da45040751e5f428930575c817c1e1a962', 'width': 1080, 'height': 567}], 'variants': {}, 'id': 'Izabq32DdBnzMc78xqevpsLYhhraEtrhKMSfq9aR9Kw'}], 'enabled': False} |
Best LLM for these specs | 1 | Could someone please tell me what would be the best local LLM for these specs-
Alienware m18 R2
Processor
14th Gen Intel® Core™i9 14900HX (24-Core, 36MB L3 Cache,
up to 5.8GHz Max Turbo Frequency)
Operating System
Windows 11 Pro, English, French, Spanish
Graphics
NVIDIA® GeForce RTX™ 4090, 16 GB GDDR6
Memory
64 GB: 2 x 32 GB, DDR5, 5200 MT/s, non-ECC, dual-channel
Storage
8TB RAID0 (2 x 4 TB), M.2, PCIe NVMe, SSD
Display
18" QHD+ (2560 x 1600) 165Hz, 3ms, ComfortView Plus, NVIDIA
G-SYNC + DDS, 100% DCI-P3, FHD IR Camera
| 2025-02-08T17:11:10 | https://www.reddit.com/r/LocalLLaMA/comments/1iks4jv/best_llm_for_these_specs/ | danmcrae | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iks4jv | false | null | t3_1iks4jv | /r/LocalLLaMA/comments/1iks4jv/best_llm_for_these_specs/ | false | false | self | 1 | null |
Roleplay prompt for Deepseek R1 | 1 | I found this prompt to work quite well for me when using uncensored Deepseek on LM Studio. I just copy pasted my characters from ooba UI in this prompt and could rp. I found the reasoning section interesting so I could see what it was thinking before replying.
———
I would like to do a fictional roleplay between me and you. You will assume the role of [insert character name], and I will assume the role of [insert your role here]. Here is more information about the charcter that you will play as:
The charcter name is [insert character name].
The character persona is:
[insert description here]
Here is your character greeting:
[Insert greeting here in quotes ""]
Let's begin. | 2025-02-08T17:12:08 | https://www.reddit.com/r/LocalLLaMA/comments/1iks5dr/roleplay_prompt_for_deepseek_r1/ | reverrover16 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iks5dr | false | null | t3_1iks5dr | /r/LocalLLaMA/comments/1iks5dr/roleplay_prompt_for_deepseek_r1/ | false | false | self | 1 | null |
Which Gpu should i Choose | 1 | [removed] | 2025-02-08T17:16:04 | https://www.reddit.com/r/LocalLLaMA/comments/1iks8pl/which_gpu_should_i_choose/ | Ok_Pomelo_3956 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iks8pl | false | null | t3_1iks8pl | /r/LocalLLaMA/comments/1iks8pl/which_gpu_should_i_choose/ | false | false | self | 1 | null |
Notes on OpenAI o3-mini: How good is it compared to r1 and o1? | 1 | We finally have a reasonable reasoning model from OpenAI that has a reasonable cost; it must be Deepseek r1 impact. But anyway, we now have the first family of models from the o3 series. Also, It is the first reasoning model with official function-calling support.
Another interesting thing is that, unlike o1, we can now see the chain of thought (CoT). However, the CoT is not raw like Deepseek r1, but only a summarized version of it, and I am not sure why they are still keeping it under wraps.
# On pricing
Perhaps the most highlighting aspect of the model is that it’s 15x cheaper than O1 with comparable performance and, in fact, better at times.
The fact that it is cheaper by 2x than even the GPT-4o is even more amusing. Then why do Chatgpt users have limited queries while GPT-4o has unlimited queries?
Did Deepseek force OpenAI to subsidize API costs?
# On performance
To know if it actually is a better model than r1 and o1, I tested it on my benchmark questions for reasoning, Math, Coding, etc.
Here’s my observation:
* O3-mini-high is the best available model for reasoning tasks, apart from o1-pro.
* For math, o1 and o3-mini-high are on par, a tad bit better than Deepseek r1.
* Again, for coding, o3-mini-high felt better in my use cases but can vary from case to case. It is faster, so it is better to work with.
* I can’t get over Deepseek r1 for creative writing, well, especially its CoT traces. I wish OpenAI would disclose the raw CoT in the coming models.
The model is actually good, and given the costs, it’s much better than o1. I would’ve loved if they showed us the actual CoT, and I think a lot of people are now more interested in thought patterns than actual responses.
For in-depth analysis, commentary, and remarks on the OpenAI o3-mini and comparison with Deepseek r1, check out this blog post: [On OpenAI o3-mini](https://composio.dev/blog/openai-o3-mini-vs-deepseek-r1/)
Would love to know what have been your views and experiences with the o3-mini. How did you like it compared to Deepseek r1? | 2025-02-08T17:16:46 | https://www.reddit.com/r/LocalLLaMA/comments/1iks9cl/notes_on_openai_o3mini_how_good_is_it_compared_to/ | SunilKumarDash | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iks9cl | false | null | t3_1iks9cl | /r/LocalLLaMA/comments/1iks9cl/notes_on_openai_o3mini_how_good_is_it_compared_to/ | false | false | self | 1 | {'images': [{'source': {'url': 'https://external-preview.redd.it/3Fd1Z8dVNBxctR-rhIsn4lsDOH5W_m4tU0ThkdON0sg.jpg?auto=webp&s=2dffd3cf345697b74ef89f4bc643b9f57aa7e775', 'width': 1136, 'height': 639}, 'resolutions': [{'url': 'https://external-preview.redd.it/3Fd1Z8dVNBxctR-rhIsn4lsDOH5W_m4tU0ThkdON0sg.jpg?width=108&crop=smart&auto=webp&s=dd27373c3d88a9ebaf980e461dc29c19d56a4bc9', 'width': 108, 'height': 60}, {'url': 'https://external-preview.redd.it/3Fd1Z8dVNBxctR-rhIsn4lsDOH5W_m4tU0ThkdON0sg.jpg?width=216&crop=smart&auto=webp&s=604a084ff69fb576d9beec555032c179e271ada9', 'width': 216, 'height': 121}, {'url': 'https://external-preview.redd.it/3Fd1Z8dVNBxctR-rhIsn4lsDOH5W_m4tU0ThkdON0sg.jpg?width=320&crop=smart&auto=webp&s=9cd2b17aa34404bc80beaea8266b814982577fbd', 'width': 320, 'height': 180}, {'url': 'https://external-preview.redd.it/3Fd1Z8dVNBxctR-rhIsn4lsDOH5W_m4tU0ThkdON0sg.jpg?width=640&crop=smart&auto=webp&s=830ead9ebf95a8372afa60448cd4e86e91bf8a4e', 'width': 640, 'height': 360}, {'url': 'https://external-preview.redd.it/3Fd1Z8dVNBxctR-rhIsn4lsDOH5W_m4tU0ThkdON0sg.jpg?width=960&crop=smart&auto=webp&s=54c060c1c32e4c51fe594ed72816840f7f3b9648', 'width': 960, 'height': 540}, {'url': 'https://external-preview.redd.it/3Fd1Z8dVNBxctR-rhIsn4lsDOH5W_m4tU0ThkdON0sg.jpg?width=1080&crop=smart&auto=webp&s=85af5c7d6350b35070e439206d310ed4d13c9f14', 'width': 1080, 'height': 607}], 'variants': {}, 'id': '8a8b1JkZ_A53tCAt5zHd_6jR-nJyPw-uZEWV_OCGV7Q'}], 'enabled': False} |
GPT4ALL Server | 1 | Hi, In installed GTP4All on Windows, enabled the Server API, I can list the models install with
[http://localhost:4891/v1/models](http://localhost:4891/v1/models)
But when I test chat completion I got the following error.
Command:
curl -X POST [http://localhost:4891/v1/chat/completions](http://localhost:4891/v1/chat/completions) \-d '{"model": "Phi-3 Mini Instruct", "messages": {"role":"user","content":"Who is Lionel Messi?"}\], "max\_tokens": 50, "temperature": 0.28}'
Error:
{"error":{"code":null,"message":"error parsing request JSON: illegal value","param":null,"type":"invalid\_request\_error"}}curl: (3) URL rejected: Malformed input to a URL function
curl: (3) URL rejected: Port number was not a decimal number between 0 and 65535
curl: (3) unmatched close brace/bracket in URL position 40:
{role:user,content:Who is Lionel Messi?}\],
Is it a bug or problem with the installation or settings? | 2025-02-08T17:23:31 | https://www.reddit.com/r/LocalLLaMA/comments/1iksf3r/gpt4all_server/ | hwlim | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iksf3r | false | null | t3_1iksf3r | /r/LocalLLaMA/comments/1iksf3r/gpt4all_server/ | false | false | self | 1 | null |
GPT4ALL Server problem | 1 | Hi, In installed GTP4All on Windows, enabled the Server API, I can list the models install with
[http://localhost:4891/v1/models](http://localhost:4891/v1/models)
But when I test chat completion I got the following error.
Command:
curl -X POST [http://localhost:4891/v1/chat/completions](http://localhost:4891/v1/chat/completions) \-d '{"model": "Phi-3 Mini Instruct", "messages": {"role":"user","content":"Who is Lionel Messi?"}\], "max\_tokens": 50, "temperature": 0.28}'
Error:
{"error":{"code":null,"message":"error parsing request JSON: illegal value","param":null,"type":"invalid\_request\_error"}}curl: (3) URL rejected: Malformed input to a URL function
curl: (3) URL rejected: Port number was not a decimal number between 0 and 65535
curl: (3) unmatched close brace/bracket in URL position 40:
{role:user,content:Who is Lionel Messi?}\],
Is it a bug or problem with the installation or settings? | 2025-02-08T17:26:38 | https://www.reddit.com/r/LocalLLaMA/comments/1ikshte/gpt4all_server_problem/ | hwlim | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikshte | false | null | t3_1ikshte | /r/LocalLLaMA/comments/1ikshte/gpt4all_server_problem/ | false | false | self | 1 | null |
Current reasoning models are dumb | 1 | [removed] | 2025-02-08T17:42:24 | https://www.reddit.com/r/LocalLLaMA/comments/1iksvbv/current_reasoning_models_are_dumb/ | oldjar747 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iksvbv | false | null | t3_1iksvbv | /r/LocalLLaMA/comments/1iksvbv/current_reasoning_models_are_dumb/ | false | false | self | 1 | null |
In Eleven Labs I can record a real voice performance and convert that performance into a different voice (and accent), is this possible locally yet? | 1 | Eleven Labs is the only service I'm paying for, mainly because of the feature I described in my title, is there an offline local alternative that is able to do this?
So far, I'm able to clone any voice I want, but I can't transfer a real performance.
Is this possible yet locally? | 2025-02-08T17:45:49 | https://www.reddit.com/r/LocalLLaMA/comments/1iksy75/in_eleven_labs_i_can_record_a_real_voice/ | MisPreguntas | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iksy75 | false | null | t3_1iksy75 | /r/LocalLLaMA/comments/1iksy75/in_eleven_labs_i_can_record_a_real_voice/ | false | false | self | 1 | null |
Django project deployment | 1 | [removed] | 2025-02-08T17:50:13 | https://www.reddit.com/r/LocalLLaMA/comments/1ikt1v6/django_project_deployment/ | Cultural_Aide | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikt1v6 | false | null | t3_1ikt1v6 | /r/LocalLLaMA/comments/1ikt1v6/django_project_deployment/ | false | false | self | 1 | null |
Is deepseek distilled 32b better than qwq? | 1 | As per title | 2025-02-08T17:57:49 | https://www.reddit.com/r/LocalLLaMA/comments/1ikt8ef/is_deepseek_distilled_32b_better_than_qwq/ | Moreh | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikt8ef | false | null | t3_1ikt8ef | /r/LocalLLaMA/comments/1ikt8ef/is_deepseek_distilled_32b_better_than_qwq/ | false | false | self | 1 | null |
I Built lfind: A Natural Language File Finder Using LLMs | 1 | 2025-02-08T17:58:53 | Mahrkeenerh1 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ikt9an | false | null | t3_1ikt9an | /r/LocalLLaMA/comments/1ikt9an/i_built_lfind_a_natural_language_file_finder/ | false | false | 1 | {'images': [{'source': {'url': 'https://preview.redd.it/rwb26a0yeyhe1.gif?format=png8&s=00dbbab16784ca207c0bc2af41fdea3f609418cb', 'width': 1113, 'height': 626}, 'resolutions': [{'url': 'https://preview.redd.it/rwb26a0yeyhe1.gif?width=108&crop=smart&format=png8&s=f3471418a50f513343638aaf2b28b1b7761a30ac', 'width': 108, 'height': 60}, {'url': 'https://preview.redd.it/rwb26a0yeyhe1.gif?width=216&crop=smart&format=png8&s=02c5353d513d0861327a3c7132b489c48af240bd', 'width': 216, 'height': 121}, {'url': 'https://preview.redd.it/rwb26a0yeyhe1.gif?width=320&crop=smart&format=png8&s=88a0a22117c0fd8c95f410d1b38164e532513a5c', 'width': 320, 'height': 179}, {'url': 'https://preview.redd.it/rwb26a0yeyhe1.gif?width=640&crop=smart&format=png8&s=ff674f1435e0b3b4d29b8e6736e8134841f17d9f', 'width': 640, 'height': 359}, {'url': 'https://preview.redd.it/rwb26a0yeyhe1.gif?width=960&crop=smart&format=png8&s=c10a5f3ff5946d6f06609c8d5d891c26be962ac1', 'width': 960, 'height': 539}, {'url': 'https://preview.redd.it/rwb26a0yeyhe1.gif?width=1080&crop=smart&format=png8&s=81a5249da451f1e902f1c7a68bb08b1ee15ed4e1', 'width': 1080, 'height': 607}], 'variants': {'gif': {'source': {'url': 'https://preview.redd.it/rwb26a0yeyhe1.gif?s=5aa632b7f4f73704f6c307ff4dfae3483448f047', 'width': 1113, 'height': 626}, 'resolutions': [{'url': 'https://preview.redd.it/rwb26a0yeyhe1.gif?width=108&crop=smart&s=656152af1ec54b04dd415d9b30593c554c539864', 'width': 108, 'height': 60}, {'url': 'https://preview.redd.it/rwb26a0yeyhe1.gif?width=216&crop=smart&s=24b0543448b7a3c4fd7a3918485043a7546f529b', 'width': 216, 'height': 121}, {'url': 'https://preview.redd.it/rwb26a0yeyhe1.gif?width=320&crop=smart&s=4c23a37a2f96ebd79458acbd60951ca508ff8c82', 'width': 320, 'height': 179}, {'url': 'https://preview.redd.it/rwb26a0yeyhe1.gif?width=640&crop=smart&s=653ea170e4f0049c8cfde86a3d70e9eb14484f48', 'width': 640, 'height': 359}, {'url': 'https://preview.redd.it/rwb26a0yeyhe1.gif?width=960&crop=smart&s=e03980e09c7b73bf5acb0046842033ec4e787fed', 'width': 960, 'height': 539}, {'url': 'https://preview.redd.it/rwb26a0yeyhe1.gif?width=1080&crop=smart&s=487bb5fe521ceb020af530c4a0637895e5ca7309', 'width': 1080, 'height': 607}]}, 'mp4': {'source': {'url': 'https://preview.redd.it/rwb26a0yeyhe1.gif?format=mp4&s=28899bd8f9fb3f06fa1ef1f8d8bedca31c3fba7c', 'width': 1113, 'height': 626}, 'resolutions': [{'url': 'https://preview.redd.it/rwb26a0yeyhe1.gif?width=108&format=mp4&s=969f945d8bccdc7d472049d83ce3ac85bcfde094', 'width': 108, 'height': 60}, {'url': 'https://preview.redd.it/rwb26a0yeyhe1.gif?width=216&format=mp4&s=2703565663292e60ec7732728fcde4e50fcccf00', 'width': 216, 'height': 121}, {'url': 'https://preview.redd.it/rwb26a0yeyhe1.gif?width=320&format=mp4&s=daff2f75fecdd00c301941e507670d8e840848e3', 'width': 320, 'height': 179}, {'url': 'https://preview.redd.it/rwb26a0yeyhe1.gif?width=640&format=mp4&s=7aeb9b5be6a974933f09246423f876200cfc994c', 'width': 640, 'height': 359}, {'url': 'https://preview.redd.it/rwb26a0yeyhe1.gif?width=960&format=mp4&s=d5289b21740f99862ba9c877fdd2e20b33442344', 'width': 960, 'height': 539}, {'url': 'https://preview.redd.it/rwb26a0yeyhe1.gif?width=1080&format=mp4&s=1dc33a4dd8da68050ebe1bd4d4dbb700d88d7b15', 'width': 1080, 'height': 607}]}}, 'id': 'O3lgSzOW-3dCzBQdHJZx86jXH0rv0mxQeGhq4Om7X2Y'}], 'enabled': True} |
|||
This sub needs to get back to its focus on Llama and the open-source models | 1 | [removed] | 2025-02-08T18:29:33 | https://www.reddit.com/r/LocalLLaMA/comments/1iku01r/this_sub_needs_to_get_back_to_its_focus_on_llama/ | entsnack | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1iku01r | false | null | t3_1iku01r | /r/LocalLLaMA/comments/1iku01r/this_sub_needs_to_get_back_to_its_focus_on_llama/ | false | false | self | 1 | null |
infermlx: Simple Llama LLM inference on macOS with MLX | 1 | 2025-02-08T18:52:09 | https://github.com/peterc/infermlx?tab=readme-ov-file | petercooper | github.com | 1970-01-01T00:00:00 | 0 | {} | 1ikujdh | false | null | t3_1ikujdh | /r/LocalLLaMA/comments/1ikujdh/infermlx_simple_llama_llm_inference_on_macos_with/ | false | false | 1 | {'images': [{'source': {'url': 'https://external-preview.redd.it/yoi_IWSvgLdvKuKdF1_dQsGUa72QUAYieJsd5grA7es.jpg?auto=webp&s=ae41f93aa9f1ac9da6c999c0dbd37ce89bc50417', 'width': 1200, 'height': 600}, 'resolutions': [{'url': 'https://external-preview.redd.it/yoi_IWSvgLdvKuKdF1_dQsGUa72QUAYieJsd5grA7es.jpg?width=108&crop=smart&auto=webp&s=cf2c59cf87b1404a2c926da0967174fbee002db2', 'width': 108, 'height': 54}, {'url': 'https://external-preview.redd.it/yoi_IWSvgLdvKuKdF1_dQsGUa72QUAYieJsd5grA7es.jpg?width=216&crop=smart&auto=webp&s=4146f39e3a5fe0a2caca40f1dc71a1ea897c952b', 'width': 216, 'height': 108}, {'url': 'https://external-preview.redd.it/yoi_IWSvgLdvKuKdF1_dQsGUa72QUAYieJsd5grA7es.jpg?width=320&crop=smart&auto=webp&s=efd5afc462691662408b4ddeec9c41b7615ce9fd', 'width': 320, 'height': 160}, {'url': 'https://external-preview.redd.it/yoi_IWSvgLdvKuKdF1_dQsGUa72QUAYieJsd5grA7es.jpg?width=640&crop=smart&auto=webp&s=7223bb401e7c74e611fb273b11168db2a39bc44e', 'width': 640, 'height': 320}, {'url': 'https://external-preview.redd.it/yoi_IWSvgLdvKuKdF1_dQsGUa72QUAYieJsd5grA7es.jpg?width=960&crop=smart&auto=webp&s=50b67e28338eb0700b05f1ac18915995687e854b', 'width': 960, 'height': 480}, {'url': 'https://external-preview.redd.it/yoi_IWSvgLdvKuKdF1_dQsGUa72QUAYieJsd5grA7es.jpg?width=1080&crop=smart&auto=webp&s=ced54e4c12d0c2c6ab6da9cb3f92f60021a80872', 'width': 1080, 'height': 540}], 'variants': {}, 'id': '9L7a5nFq1gzvQ3kc8rqZxoHRSdOe9BxyYeOgcOezYtU'}], 'enabled': False} |
||
does it make sense to use chatRTX locally or is better to RAG with external APIs? What are the advantages of local chatRTX? how many LLMs are supported? context window?
Any other solution you might have in mind for a really powerful local LLM that does extensive RAG? Thank you! | 1 | i5 13400, 32GB RAM, RTX 4070 Super 12GB VRAM | 2025-02-08T18:55:04 | https://www.reddit.com/r/LocalLLaMA/comments/1ikulsj/does_it_make_sense_to_use_chatrtx_locally_or_is/ | jim_andr | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikulsj | false | null | t3_1ikulsj | /r/LocalLLaMA/comments/1ikulsj/does_it_make_sense_to_use_chatrtx_locally_or_is/ | false | false | self | 1 | null |
Using AI to generate short clips | 1 | [removed] | 2025-02-08T19:13:37 | https://www.reddit.com/r/LocalLLaMA/comments/1ikv1x0/using_ai_to_generate_short_clips/ | sKemo12 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikv1x0 | false | null | t3_1ikv1x0 | /r/LocalLLaMA/comments/1ikv1x0/using_ai_to_generate_short_clips/ | false | false | self | 1 | null |
Sider.ai version that uses local llms? | 1 | Good afternoon all,
Does anyone know of any open-source version of sider.ai extension that can use a local llm?
Perplexity doesn't do similar. | 2025-02-08T19:22:16 | https://www.reddit.com/r/LocalLLaMA/comments/1ikv9av/siderai_version_that_uses_local_llms/ | skylabby | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikv9av | false | null | t3_1ikv9av | /r/LocalLLaMA/comments/1ikv9av/siderai_version_that_uses_local_llms/ | false | false | self | 1 | null |
Canned responses related to Israel Palestine conflict on chatgpt | 1 | [removed] | 2025-02-08T19:28:45 | https://www.reddit.com/r/LocalLLaMA/comments/1ikvesb/canned_responses_related_to_israel_palestine/ | I_Short_TSLA | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikvesb | false | null | t3_1ikvesb | /r/LocalLLaMA/comments/1ikvesb/canned_responses_related_to_israel_palestine/ | false | false | self | 1 | null |
I really need to upgrade | 1 | 2025-02-08T19:38:41 | Porespellar | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ikvnfx | false | null | t3_1ikvnfx | /r/LocalLLaMA/comments/1ikvnfx/i_really_need_to_upgrade/ | false | false | 1 | {'images': [{'source': {'url': 'https://preview.redd.it/eto6oiq8xyhe1.jpeg?auto=webp&s=30f69a12a3d41090f36ae7be374ee3adfdb22d05', 'width': 1125, 'height': 1125}, 'resolutions': [{'url': 'https://preview.redd.it/eto6oiq8xyhe1.jpeg?width=108&crop=smart&auto=webp&s=e56528e71761d9f12eb31fcc903e21ebe6db27bb', 'width': 108, 'height': 108}, {'url': 'https://preview.redd.it/eto6oiq8xyhe1.jpeg?width=216&crop=smart&auto=webp&s=2df451cf91394117a01e20748e5d10e64ecb9fb2', 'width': 216, 'height': 216}, {'url': 'https://preview.redd.it/eto6oiq8xyhe1.jpeg?width=320&crop=smart&auto=webp&s=da40add80085134bf382022a0abb325f11588cc0', 'width': 320, 'height': 320}, {'url': 'https://preview.redd.it/eto6oiq8xyhe1.jpeg?width=640&crop=smart&auto=webp&s=9be19e4af4ac7edf93efb804fef99881270152ec', 'width': 640, 'height': 640}, {'url': 'https://preview.redd.it/eto6oiq8xyhe1.jpeg?width=960&crop=smart&auto=webp&s=61b8ec8a96e5225da557a7b700c27f2a052df65f', 'width': 960, 'height': 960}, {'url': 'https://preview.redd.it/eto6oiq8xyhe1.jpeg?width=1080&crop=smart&auto=webp&s=59e2a07ae9fed1ab5f4ef7e30686e2f59b96ff94', 'width': 1080, 'height': 1080}], 'variants': {}, 'id': 'JptDGPKdgaqqtdh07CPdN-CYXtcjFAueDLtD7OSsc0s'}], 'enabled': True} |
|||
Your next home lab might have 48GB Chinese card😅 | 1 | https://wccftech.com/chinese-gpu-manufacturers-push-out-support-for-running-deepseek-ai-models-on-local-systems/
Things are accelerating.
China might give us all the VRAM we want.
😅😅👍🏼
Hope they don't make it illegal to import.
For security sake, of course | 2025-02-08T19:39:39 | https://www.reddit.com/r/LocalLLaMA/comments/1ikvo8a/your_next_home_lab_might_have_48gb_chinese_card/ | Redinaj | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikvo8a | false | null | t3_1ikvo8a | /r/LocalLLaMA/comments/1ikvo8a/your_next_home_lab_might_have_48gb_chinese_card/ | false | false | self | 1 | {'images': [{'source': {'url': 'https://external-preview.redd.it/-2Ysyu3sX6fO0DZRNdkXCuOzx0BFymt2zO0fHSU6xic.jpg?auto=webp&s=7303b3fd17d6befb820b9f72e5cc2966fc6fb783', 'width': 728, 'height': 516}, 'resolutions': [{'url': 'https://external-preview.redd.it/-2Ysyu3sX6fO0DZRNdkXCuOzx0BFymt2zO0fHSU6xic.jpg?width=108&crop=smart&auto=webp&s=24ba174d8c43838268ca7185264e1b4369abadaa', 'width': 108, 'height': 76}, {'url': 'https://external-preview.redd.it/-2Ysyu3sX6fO0DZRNdkXCuOzx0BFymt2zO0fHSU6xic.jpg?width=216&crop=smart&auto=webp&s=2d4e172d80128ba8f3dbcacd1684c29b578bc745', 'width': 216, 'height': 153}, {'url': 'https://external-preview.redd.it/-2Ysyu3sX6fO0DZRNdkXCuOzx0BFymt2zO0fHSU6xic.jpg?width=320&crop=smart&auto=webp&s=c78366b437c0387676a2a55f83565db41f292ff5', 'width': 320, 'height': 226}, {'url': 'https://external-preview.redd.it/-2Ysyu3sX6fO0DZRNdkXCuOzx0BFymt2zO0fHSU6xic.jpg?width=640&crop=smart&auto=webp&s=32238cf0cfe36589a99fbbebdebb674c383fd9b4', 'width': 640, 'height': 453}], 'variants': {}, 'id': 'lkz-MfcF29exvP3pe2apdSH9SVJIH63YmzcEuEfzEgU'}], 'enabled': False} |
Local AI LLM or similar for validating that speech matches text | 1 | I would like to try creating a small reading practice app that can track a voice reading from a given text. E.g. an easier case of voice recognition where its just a matter of detecting if the sound matches the expected next word, however low latency is very important for obvious reasons
Is there anything like that out there that is easy to work with, and can work with Danish? I was inspired to ask here after reading about people running "real" voice recognition locally in browsers. | 2025-02-08T19:40:43 | https://www.reddit.com/r/LocalLLaMA/comments/1ikvp3g/local_ai_llm_or_similar_for_validating_that/ | ziphnor | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikvp3g | false | null | t3_1ikvp3g | /r/LocalLLaMA/comments/1ikvp3g/local_ai_llm_or_similar_for_validating_that/ | false | false | self | 1 | null |
LPU for everyone | 1 | Hey everyone,
I’m not a professional like many of you, but I have a question that I can’t seem to find an answer to, so I thought I’d ask here.
Grok has developed LPUs, and AWS has introduced Trainium 2. However, it doesn’t seem like there’s anything consumer-friendly available for purchase—or even enterprise-level solutions, for that matter.
Do you think we’ll ever see something like an add-on, a dedicated card, or a coprocessor (similar to what we had in the ‘80s) specifically designed for LLMs that consumers can buy and install? If so, when do you think that might happen?
Curious to hear your thoughts!
Dave | 2025-02-08T19:44:24 | https://www.reddit.com/r/LocalLLaMA/comments/1ikvs6w/lpu_for_everyone/ | dave-lon | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikvs6w | false | null | t3_1ikvs6w | /r/LocalLLaMA/comments/1ikvs6w/lpu_for_everyone/ | false | false | self | 1 | null |
TTS WITH PARTICULAR VOICE FEATURE | 1 | I want to create tts model with particular voice features say of some particular personality in a particular language suppose Indian languages like Marathi.
What is the best way to do so?
From What I have read, I need to extract feature of the voice
Then have phoneme of that language
Audio to text transcription
Can someone guide on how to achieve this?
| 2025-02-08T19:47:29 | https://www.reddit.com/r/LocalLLaMA/comments/1ikvupm/tts_with_particular_voice_feature/ | Chdevman | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikvupm | false | null | t3_1ikvupm | /r/LocalLLaMA/comments/1ikvupm/tts_with_particular_voice_feature/ | false | false | self | 1 | null |
Best creative local LLM for world building and creative writing? Fitting in 16gb VRAM? | 1 | You know I mean creative as in not me having to be creative for it but rather it can come up with some great stuff itself. | 2025-02-08T19:57:26 | https://www.reddit.com/r/LocalLLaMA/comments/1ikw2xd/best_creative_local_llm_for_world_building_and/ | No_Expert1801 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikw2xd | false | null | t3_1ikw2xd | /r/LocalLLaMA/comments/1ikw2xd/best_creative_local_llm_for_world_building_and/ | false | false | self | 1 | null |
Why run at home AI? | 1 | I'm very interested, but probably limited in thinking that I just want an in house Jarvis.
What's the reason you run an AI server in your house? | 2025-02-08T20:04:59 | https://www.reddit.com/r/LocalLLaMA/comments/1ikw9i2/why_run_at_home_ai/ | imjustasking123 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikw9i2 | false | null | t3_1ikw9i2 | /r/LocalLLaMA/comments/1ikw9i2/why_run_at_home_ai/ | false | false | self | 1 | null |
Clayton Christensen: Disruptive innovation | 1 | Recently, there were several pieces of news that keep reminding me of the late Clayton Christensen's theory of disruptive innovation: Intel's B580, the rumor about a 24GB B580, the tons of startups trying to get into the AI hardware space, and just today the wccftwch piece about MoorThreads adding support for DeepSeek.
This is for those who are interested in understanding "disruptive innovation" from the man who first coined this term some 30 years ago.
The video is one hour long, and part of a three lecture series he gave at Oxford University almost 12 years ago. | 2025-02-08T20:25:58 | https://youtu.be/rpkoCZ4vBSI?si=g-0U4XATmi5rlb0z | FullstackSensei | youtu.be | 1970-01-01T00:00:00 | 0 | {} | 1ikwqps | false | {'type': 'youtube.com', 'oembed': {'provider_url': 'https://www.youtube.com/', 'version': '1.0', 'title': 'Clayton Christensen: Disruptive innovation', 'type': 'video', 'thumbnail_width': 480, 'height': 200, 'width': 356, 'html': '<iframe width="356" height="200" src="https://www.youtube.com/embed/rpkoCZ4vBSI?feature=oembed&enablejsapi=1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen title="Clayton Christensen: Disruptive innovation"></iframe>', 'author_name': 'Saïd Business School, University of Oxford', 'provider_name': 'YouTube', 'thumbnail_url': 'https://i.ytimg.com/vi/rpkoCZ4vBSI/hqdefault.jpg', 'thumbnail_height': 360, 'author_url': 'https://www.youtube.com/@OxfordSBS'}} | t3_1ikwqps | /r/LocalLLaMA/comments/1ikwqps/clayton_christensen_disruptive_innovation/ | false | false | 1 | {'images': [{'source': {'url': 'https://external-preview.redd.it/aaFkUVp8rgXeZY3e3SZJT3WkSgYobDa6iLg6uffLqH4.jpg?auto=webp&s=9db1874768e5e263d14943c905edd307316ae6a2', 'width': 480, 'height': 360}, 'resolutions': [{'url': 'https://external-preview.redd.it/aaFkUVp8rgXeZY3e3SZJT3WkSgYobDa6iLg6uffLqH4.jpg?width=108&crop=smart&auto=webp&s=a271a34f3df78f9017ae2a9d5546f63649d7a794', 'width': 108, 'height': 81}, {'url': 'https://external-preview.redd.it/aaFkUVp8rgXeZY3e3SZJT3WkSgYobDa6iLg6uffLqH4.jpg?width=216&crop=smart&auto=webp&s=96ca82ce6a85926730358dc5a3dee4f0adbbef9d', 'width': 216, 'height': 162}, {'url': 'https://external-preview.redd.it/aaFkUVp8rgXeZY3e3SZJT3WkSgYobDa6iLg6uffLqH4.jpg?width=320&crop=smart&auto=webp&s=efd54e669a2936f102a845079fda6a0d24a16078', 'width': 320, 'height': 240}], 'variants': {}, 'id': 'TbWIrdFWtgPTm0EzPqXkaR12hI__laYCVSkIwJMDQn4'}], 'enabled': False} |
|
CPU + RAM combo for a new build with 3090 (for in-GPU LLM only) | 1 | Hey guys,
I've just picked up an RTX3090, which I'll be putting into my main machine (switching out a 4060) with a new PSU. It got me thinking, to build a dedicated machine for the RTX3090, all I'd need is a case, ram, cpu, motherboard and m.2.
I plan to run Linux on it. I've seen that CPU and RAM aren't that important if the model is always in GPU VRAM (which is the plan). What kind of CPU/RAM combo should I be aiming for if the only purpose of this machine is to run in-VRAM models? | 2025-02-08T20:50:08 | https://www.reddit.com/r/LocalLLaMA/comments/1ikxaml/cpu_ram_combo_for_a_new_build_with_3090_for_ingpu/ | luhkomo | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikxaml | false | null | t3_1ikxaml | /r/LocalLLaMA/comments/1ikxaml/cpu_ram_combo_for_a_new_build_with_3090_for_ingpu/ | false | false | self | 1 | null |
150+ TPS on a 7900XTX with Compute Mode on 8B (32K)? | 1 | [removed] | 2025-02-08T20:54:21 | https://www.reddit.com/r/LocalLLaMA/comments/1ikxe8s/150_tps_on_a_7900xtx_with_compute_mode_on_8b_32k/ | Better-Resist-5369 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikxe8s | false | null | t3_1ikxe8s | /r/LocalLLaMA/comments/1ikxe8s/150_tps_on_a_7900xtx_with_compute_mode_on_8b_32k/ | false | false | self | 1 | null |
150+ TPS on a 7900XTX with Compute Mode on 8B (32K)? | 1 | So on a discord server, a Local LLM user claimed that on thier system (7900XTX with a 9950X) that thier system can inference at 150 TPS on a 8B model even at full context of 32K. I found that hard to believe but they said something about turning on 'Computer Mode' on a 7900XTX. I searched that up and found barely any results for turning that on in BIOS.
VRAM Usage seemed to be around 10-12GB for them.
Is this true or the person lying? | 2025-02-08T20:55:06 | https://www.reddit.com/r/LocalLLaMA/comments/1ikxev0/150_tps_on_a_7900xtx_with_compute_mode_on_8b_32k/ | Better-Resist-5369 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikxev0 | false | null | t3_1ikxev0 | /r/LocalLLaMA/comments/1ikxev0/150_tps_on_a_7900xtx_with_compute_mode_on_8b_32k/ | false | false | self | 1 | null |
dataset creation with deepseek | 1 | Not sure if this is of any help but I've created a small script that takes questions from a CSV file and send them to deepseek API for answers.
It outputs the results with separate columns for timestamp, question, thinking traces, answer as CSV, json and txt files.
https://github.com/EdwardDali/dset
are there other tools doing something like this for AI with reasoning?
does distillation requires a different type of dataset?
| 2025-02-08T20:55:18 | https://www.reddit.com/r/LocalLLaMA/comments/1ikxf0r/dataset_creation_with_deepseek/ | Eduard_T | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikxf0r | false | null | t3_1ikxf0r | /r/LocalLLaMA/comments/1ikxf0r/dataset_creation_with_deepseek/ | false | false | self | 1 | {'images': [{'source': {'url': 'https://external-preview.redd.it/1ZaB3Nrs7ZFc52IPC1eC56zhNm33W29p65p1Vtd5uxw.jpg?auto=webp&s=16de1bbe99d4c41e2745d77c0311556e3124d1ea', 'width': 1200, 'height': 600}, 'resolutions': [{'url': 'https://external-preview.redd.it/1ZaB3Nrs7ZFc52IPC1eC56zhNm33W29p65p1Vtd5uxw.jpg?width=108&crop=smart&auto=webp&s=b6b8a86277e743844fac3c9093c8e342787340d6', 'width': 108, 'height': 54}, {'url': 'https://external-preview.redd.it/1ZaB3Nrs7ZFc52IPC1eC56zhNm33W29p65p1Vtd5uxw.jpg?width=216&crop=smart&auto=webp&s=94180f5d25230f3f299bd3e4a787921431b7f717', 'width': 216, 'height': 108}, {'url': 'https://external-preview.redd.it/1ZaB3Nrs7ZFc52IPC1eC56zhNm33W29p65p1Vtd5uxw.jpg?width=320&crop=smart&auto=webp&s=c8c39a22f49ea512eeb8de29394cf5597f807b45', 'width': 320, 'height': 160}, {'url': 'https://external-preview.redd.it/1ZaB3Nrs7ZFc52IPC1eC56zhNm33W29p65p1Vtd5uxw.jpg?width=640&crop=smart&auto=webp&s=ad08009619fe35832899b2472bd865344066a02b', 'width': 640, 'height': 320}, {'url': 'https://external-preview.redd.it/1ZaB3Nrs7ZFc52IPC1eC56zhNm33W29p65p1Vtd5uxw.jpg?width=960&crop=smart&auto=webp&s=39a38a82bd230b53fe39c0530703bf0ee0e1d625', 'width': 960, 'height': 480}, {'url': 'https://external-preview.redd.it/1ZaB3Nrs7ZFc52IPC1eC56zhNm33W29p65p1Vtd5uxw.jpg?width=1080&crop=smart&auto=webp&s=d55c9bdfb8a8129eab5769d2c1655c673176aa26', 'width': 1080, 'height': 540}], 'variants': {}, 'id': 'wJHh0ININtsnIPrizeVTT9DqpaWIRMl55qggHVKkwWg'}], 'enabled': False} |
My little setup grows | 1 | 2025-02-08T21:36:13 | Flintbeker | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ikyclh | false | null | t3_1ikyclh | /r/LocalLLaMA/comments/1ikyclh/my_little_setup_grows/ | false | false | 1 | {'images': [{'source': {'url': 'https://preview.redd.it/ivuoew07izhe1.jpeg?auto=webp&s=b3293f9487acd16b97347ef73fd783cec3b1e818', 'width': 4284, 'height': 5712}, 'resolutions': [{'url': 'https://preview.redd.it/ivuoew07izhe1.jpeg?width=108&crop=smart&auto=webp&s=74f6d899fa7492cc7432c4bdb171e6a640d66654', 'width': 108, 'height': 144}, {'url': 'https://preview.redd.it/ivuoew07izhe1.jpeg?width=216&crop=smart&auto=webp&s=4b84c31764cc77f09159d13b1bd9132b32d674fd', 'width': 216, 'height': 288}, {'url': 'https://preview.redd.it/ivuoew07izhe1.jpeg?width=320&crop=smart&auto=webp&s=4c4ddfdb4b9817e9040e5e4481c2bf59cff29687', 'width': 320, 'height': 426}, {'url': 'https://preview.redd.it/ivuoew07izhe1.jpeg?width=640&crop=smart&auto=webp&s=805b6dbac5a45f4acb9b1e6962f74ce91e1b6aaa', 'width': 640, 'height': 853}, {'url': 'https://preview.redd.it/ivuoew07izhe1.jpeg?width=960&crop=smart&auto=webp&s=7db39a12a42672cfd83a03659a7e5d2c573d9b39', 'width': 960, 'height': 1280}, {'url': 'https://preview.redd.it/ivuoew07izhe1.jpeg?width=1080&crop=smart&auto=webp&s=9cd91495d3b6b7c8ba0bf28b1a38d25a5d38bd0e', 'width': 1080, 'height': 1440}], 'variants': {}, 'id': 'e6to8ia8XDHyyr7fNY1SMjC7gAqHhJgE94QbJuSyqko'}], 'enabled': True} |
|||
AI and the fundamental implications on reality? | 1 | I find it fascinating how relatively small AI models can generate vast amounts of knowledge. When you look closer, you realize they’re not actually storing all the information they’ve been trained on. Instead, they encode patterns within the data and use those patterns to generate probabilistic responses—often with surprising accuracy.
It reminds me of quantum mechanics. At first glance, it seems counterintuitive—how can so much knowledge emerge from such a compact system?
Has anyone else thought about the implications this might have for advanced fields like physics or the fundamental nature of reality? If knowledge can be recreated from patterns rather than stored explicitly, what does that say about how reality itself might work?
I know it might seem a little topic but this really does only apply to models like llama that we can see their actual disc space usage versus how much they can answer accurately.
| 2025-02-08T21:44:00 | https://www.reddit.com/r/LocalLLaMA/comments/1ikyisw/ai_and_the_fundamental_implications_on_reality/ | djav1985 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikyisw | false | null | t3_1ikyisw | /r/LocalLLaMA/comments/1ikyisw/ai_and_the_fundamental_implications_on_reality/ | false | false | self | 1 | null |
Qwen reaches limit | 1 | I just got this from Qwen max - Uh-oh! There was an issue connecting to Qwen2.5-Max. Reached call limited: too many requests in (86400.0) seconds
How many requests can I make , will it reset in 24 hours ? | 2025-02-08T21:49:58 | https://www.reddit.com/r/LocalLLaMA/comments/1ikynm7/qwen_reaches_limit/ | carwash2016 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikynm7 | false | null | t3_1ikynm7 | /r/LocalLLaMA/comments/1ikynm7/qwen_reaches_limit/ | false | false | self | 1 | null |
OpenAI plans to open an office in Germany | TechCrunch | 1 | Explains why Sama was at that panel in TU Berlin | 2025-02-08T21:51:55 | https://techcrunch.com/2025/02/07/openai-plans-to-open-an-office-in-germany/ | FullstackSensei | techcrunch.com | 1970-01-01T00:00:00 | 0 | {} | 1ikyp9p | false | null | t3_1ikyp9p | /r/LocalLLaMA/comments/1ikyp9p/openai_plans_to_open_an_office_in_germany/ | false | false | default | 1 | null |
DeepSeek Gained over 100+ Millions Users in 20 days. | 1 | Since launching DeepSeek R1 on January 20, DeepSeek has gained over 100 million users, with $0 advertising or marketing cost. By February 1, its daily active users surpassed 30 million, making it the fastest application in history to reach this milestone.
Why? I also spend so much time chat with it, the profound answer, is the key reason for me. | 2025-02-08T21:52:58 | https://www.reddit.com/r/LocalLLaMA/comments/1ikyq45/deepseek_gained_over_100_millions_users_in_20_days/ | blacktiger3654 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikyq45 | false | null | t3_1ikyq45 | /r/LocalLLaMA/comments/1ikyq45/deepseek_gained_over_100_millions_users_in_20_days/ | false | false | self | 1 | null |
Super Bowl Predictions Using a Fine-Tuned Deepseek | 1 | [removed] | 2025-02-08T22:01:13 | https://www.reddit.com/r/LocalLLaMA/comments/1ikyww8/super_bowl_predictions_using_a_finetuned_deepseek/ | dantheman252 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikyww8 | false | null | t3_1ikyww8 | /r/LocalLLaMA/comments/1ikyww8/super_bowl_predictions_using_a_finetuned_deepseek/ | false | false | self | 1 | {'images': [{'source': {'url': 'https://external-preview.redd.it/QGo3Ljw05ULW8J6G25QrcTMJZrDG4ZSbIHKqcW8yNyQ.jpg?auto=webp&s=4f8e3219372d7a41d81f20da083cf09e95d77ae7', 'width': 2400, 'height': 1350}, 'resolutions': [{'url': 'https://external-preview.redd.it/QGo3Ljw05ULW8J6G25QrcTMJZrDG4ZSbIHKqcW8yNyQ.jpg?width=108&crop=smart&auto=webp&s=7a2e908bfb355b21dc7c57ad9e9465e47da176b3', 'width': 108, 'height': 60}, {'url': 'https://external-preview.redd.it/QGo3Ljw05ULW8J6G25QrcTMJZrDG4ZSbIHKqcW8yNyQ.jpg?width=216&crop=smart&auto=webp&s=d4cdbe58c766ce6b14fd346ea4d5c23972d8c344', 'width': 216, 'height': 121}, {'url': 'https://external-preview.redd.it/QGo3Ljw05ULW8J6G25QrcTMJZrDG4ZSbIHKqcW8yNyQ.jpg?width=320&crop=smart&auto=webp&s=35717e2f09ddb8e7994315e7ab7f049713307331', 'width': 320, 'height': 180}, {'url': 'https://external-preview.redd.it/QGo3Ljw05ULW8J6G25QrcTMJZrDG4ZSbIHKqcW8yNyQ.jpg?width=640&crop=smart&auto=webp&s=dd27c9bf6404e82bfebbe2d84b075c83f5e566a3', 'width': 640, 'height': 360}, {'url': 'https://external-preview.redd.it/QGo3Ljw05ULW8J6G25QrcTMJZrDG4ZSbIHKqcW8yNyQ.jpg?width=960&crop=smart&auto=webp&s=ce3fa2c68abd923466af3a06eae8fce7062ae39a', 'width': 960, 'height': 540}, {'url': 'https://external-preview.redd.it/QGo3Ljw05ULW8J6G25QrcTMJZrDG4ZSbIHKqcW8yNyQ.jpg?width=1080&crop=smart&auto=webp&s=80f2f8f3ea49dfcf8035aba64bdad3c210dc181d', 'width': 1080, 'height': 607}], 'variants': {}, 'id': 'U_zRbVGpf60IdhRnj1JuBPS6qguS1URc818d5esoT7A'}], 'enabled': False} |
I'm looking best vision model, can you tell me which one is the best right now? | 1 | [removed] | 2025-02-08T22:12:57 | https://www.reddit.com/r/LocalLLaMA/comments/1ikz6b2/im_looking_best_vision_model_can_you_tell_me/ | PastRequirement96 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikz6b2 | false | null | t3_1ikz6b2 | /r/LocalLLaMA/comments/1ikz6b2/im_looking_best_vision_model_can_you_tell_me/ | false | false | self | 1 | null |
Multi-GPU Utilization Issue with llama-cpp | 1 | [removed] | 2025-02-08T22:19:15 | https://www.reddit.com/r/LocalLLaMA/comments/1ikzbi5/multigpu_utilization_issue_with_llamacpp/ | QictR | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikzbi5 | false | null | t3_1ikzbi5 | /r/LocalLLaMA/comments/1ikzbi5/multigpu_utilization_issue_with_llamacpp/ | false | false | self | 1 | null |
MLX Quants Vs GGUF | 1 | So I'm playing around with some MLX models lately (M3 Max), and have noticed the quants seem different I don't usually see qx\_k\_m or anything like that just literally 4bit/8bit and a few 6bit. And generally they are smaller than their GGUF counterparts. I know MLX is faster and that is definitely evident.
My question is; is an MLX model at the same quant lower quality than the GGUF model and if so how much lower quality are we talking?
While I haven't noticed anything particularly jarring yet, I'm curious to understand the differences, my assumption since discovering MLX is that, if you're on Apple silicone you should be using MLX. | 2025-02-08T22:31:56 | https://www.reddit.com/r/LocalLLaMA/comments/1ikzlpx/mlx_quants_vs_gguf/ | BalaelGios | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ikzlpx | false | null | t3_1ikzlpx | /r/LocalLLaMA/comments/1ikzlpx/mlx_quants_vs_gguf/ | false | false | self | 1 | null |
Not promoting, but any nerds around here? | 1 | [removed] | 2025-02-08T23:06:16 | https://www.reddit.com/r/LocalLLaMA/comments/1il0d7a/not_promoting_but_any_nerds_around_here/ | Justimrandy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1il0d7a | false | null | t3_1il0d7a | /r/LocalLLaMA/comments/1il0d7a/not_promoting_but_any_nerds_around_here/ | false | false | self | 1 | null |
Subsets and Splits