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--- |
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base_model: pints-ai/1.5-Pints-16K-v0.1 |
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datasets: |
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- pints-ai/Expository-Prose-V1 |
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- HuggingFaceH4/ultrachat_200k |
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- Open-Orca/SlimOrca-Dedup |
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- meta-math/MetaMathQA |
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- HuggingFaceH4/deita-10k-v0-sft |
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- WizardLM/WizardLM_evol_instruct_V2_196k |
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- togethercomputer/llama-instruct |
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- LDJnr/Capybara |
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- HuggingFaceH4/ultrafeedback_binarized |
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extra_gated_fields: |
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Company: text |
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Country: country |
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I agree to use this model for in accordance to the afore-mentioned Terms of Use: checkbox |
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I want to use this model for: |
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options: |
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- Research |
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- Education |
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- label: Other |
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value: other |
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type: select |
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Specific date: date_picker |
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extra_gated_prompt: Though best efforts has been made to ensure, as much as possible, |
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that all texts in the training corpora are royalty free, this does not constitute |
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a legal guarantee that such is the case. **By using any of the models, corpora or |
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part thereof, the user agrees to bear full responsibility to do the necessary due |
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diligence to ensure that he / she is in compliance with their local copyright laws. |
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Additionally, the user agrees to bear any damages arising as a direct cause (or |
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otherwise) of using any artifacts released by the pints research team, as well as |
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full responsibility for the consequences of his / her usage (or implementation) |
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of any such released artifacts. The user also indemnifies Pints Research Team (and |
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any of its members or agents) of any damage, related or unrelated, to the release |
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or subsequent usage of any findings, artifacts or code by the team. For the avoidance |
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of doubt, any artifacts released by the Pints Research team are done so in accordance |
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with the 'fair use' clause of Copyright Law, in hopes that this will aid the research |
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community in bringing LLMs to the next frontier. |
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language: |
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- en |
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library_name: transformers |
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license: mit |
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quantized_by: mradermacher |
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--- |
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## About |
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<!-- ### quantize_version: 2 --> |
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<!-- ### output_tensor_quantised: 1 --> |
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<!-- ### convert_type: hf --> |
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<!-- ### vocab_type: --> |
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<!-- ### tags: --> |
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static quants of https://huggingface.co/pints-ai/1.5-Pints-16K-v0.1 |
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<!-- provided-files --> |
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-i1-GGUF |
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## Usage |
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If you are unsure how to use GGUF files, refer to one of [TheBloke's |
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READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for |
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more details, including on how to concatenate multi-part files. |
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## Provided Quants |
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(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) |
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| Link | Type | Size/GB | Notes | |
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|:-----|:-----|--------:|:------| |
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| [GGUF](https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-GGUF/resolve/main/1.5-Pints-16K-v0.1.Q2_K.gguf) | Q2_K | 0.7 | | |
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| [GGUF](https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-GGUF/resolve/main/1.5-Pints-16K-v0.1.Q3_K_S.gguf) | Q3_K_S | 0.8 | | |
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| [GGUF](https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-GGUF/resolve/main/1.5-Pints-16K-v0.1.Q3_K_M.gguf) | Q3_K_M | 0.9 | lower quality | |
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| [GGUF](https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-GGUF/resolve/main/1.5-Pints-16K-v0.1.Q3_K_L.gguf) | Q3_K_L | 0.9 | | |
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| [GGUF](https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-GGUF/resolve/main/1.5-Pints-16K-v0.1.IQ4_XS.gguf) | IQ4_XS | 1.0 | | |
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| [GGUF](https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-GGUF/resolve/main/1.5-Pints-16K-v0.1.Q4_K_S.gguf) | Q4_K_S | 1.0 | fast, recommended | |
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| [GGUF](https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-GGUF/resolve/main/1.5-Pints-16K-v0.1.Q4_K_M.gguf) | Q4_K_M | 1.1 | fast, recommended | |
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| [GGUF](https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-GGUF/resolve/main/1.5-Pints-16K-v0.1.Q5_K_S.gguf) | Q5_K_S | 1.2 | | |
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| [GGUF](https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-GGUF/resolve/main/1.5-Pints-16K-v0.1.Q5_K_M.gguf) | Q5_K_M | 1.2 | | |
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| [GGUF](https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-GGUF/resolve/main/1.5-Pints-16K-v0.1.Q6_K.gguf) | Q6_K | 1.4 | very good quality | |
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| [GGUF](https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-GGUF/resolve/main/1.5-Pints-16K-v0.1.Q8_0.gguf) | Q8_0 | 1.8 | fast, best quality | |
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| [GGUF](https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-GGUF/resolve/main/1.5-Pints-16K-v0.1.f16.gguf) | f16 | 3.2 | 16 bpw, overkill | |
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Here is a handy graph by ikawrakow comparing some lower-quality quant |
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types (lower is better): |
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 |
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And here are Artefact2's thoughts on the matter: |
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https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 |
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## FAQ / Model Request |
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See https://huggingface.co/mradermacher/model_requests for some answers to |
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questions you might have and/or if you want some other model quantized. |
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## Thanks |
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I thank my company, [nethype GmbH](https://www.nethype.de/), for letting |
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me use its servers and providing upgrades to my workstation to enable |
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this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to. |
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<!-- end --> |
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