Create README.md

README.md

@@ -0,0 +1,211 @@
+---
+language:
+- en
+library_name: transformers
+tags:
+- chat
+pipeline_tag: text-generation
+datasets:
+- AquaV/c2-sharegpt-advanced-prefills-filtered  
+- AquaV/c1-sharegpt-advanced-prefills-filtered  
+- AquaV/rainy-sharegpt-advanced-prefills-filtered  
+- anthracite-core/Gryphe-Opus-Charcard-Roleplay  
+- anthracite-org/kalo-opus-instruct-22k-no-refusal  
+- lodrick-the-lafted/kalo-opus-instruct-3k-filtered  
+- anthracite-org/nopm_claude_writing_fixed  
+- anthracite-org/kalo_opus_misc_240827  
+- anthracite-org/kalo_misc_part2  
+- NewEden/Claude-Instruct-2.7K  
+- NewEden/Claude-Instruct-5K  
+---
+
+### These are GGUF quants, check [here](https://huggingface.co/Delta-Vector/Rei-12B) for original weights
+---
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/66c26b6fb01b19d8c3c2467b/nqMkoIsmScaTFHCFirGsc.png" width="500px" />
+
+This is a model designed to replicate the prose quality of the Claude 3 series of models. specifically Sonnet and Opus - Made with a prototype magnum V5 datamix.
+
+This model is fine-tuned on top of [Mistral-Nemo-Instruct(chatML'ified)](https://huggingface.co/NewEden/MistralAI-Nemo-Instruct-ChatML).
+## Quants
+
+EXL2: https://huggingface.co/Delta-Vector/Rei-12B-EXL2
+
+GGUF: https://huggingface.co/Delta-Vector/Rei-12B-gguf/
+
+## Prompting
+A typical input would look like this:
+
+```py
+"""<|im_start|>user
+Hi there!<|im_end|>
+<|im_start|>assistant
+Nice to meet you!<|im_end|>
+<|im_start|>user
+Can I ask a question?<|im_end|>
+<|im_start|>assistant
+"""
+```
+
+I would highly recommend using either Euryale's system prompt with the model.
+
+<details><summary>See Sao10k's Euryale System Prompt</summary>
+
+```
+Currently, your role is {{char}}, described in detail below. As {{char}}, continue the narrative exchange with {{user}}.
+<Guidelines>
+• Maintain the character persona but allow it to evolve with the story.
+• Be creative and proactive. Drive the story forward, introducing plotlines and events when relevant.
+• All types of outputs are encouraged; respond accordingly to the narrative.
+• Include dialogues, actions, and thoughts in each response.
+• Utilize all five senses to describe scenarios within {{char}}'s dialogue.
+• Use emotional symbols such as "!" and "~" in appropriate contexts.
+• Incorporate onomatopoeia when suitable.
+• Allow time for {{user}} to respond with their own input, respecting their agency.
+• Act as secondary characters and NPCs as needed, and remove them when appropriate.
+• When prompted for an Out of Character [OOC:] reply, answer neutrally and in plaintext, not as {{char}}.
+</Guidelines>
+
+<Forbidden>
+• Using excessive literary embellishments and purple prose unless dictated by {{char}}'s persona.
+• Writing for, speaking, thinking, acting, or replying as {{user}} in your response.
+• Repetitive and monotonous outputs.
+• Positivity bias in your replies.
+• Being overly extreme or NSFW when the narrative context is inappropriate.
+</Forbidden>
+
+</details><br>
+
+## Axolotl config
+
+<details><summary>See axolotl config</summary>
+
+```yaml
+## model
+base_model: NewEden_nemo-chatml
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+## qlora COPE
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+## data 
+datasets:
+  - path: AquaV/c2-sharegpt-advanced-prefills-filtered
+    type: sharegpt
+  - path: AquaV/c1-sharegpt-advanced-prefills-filtered
+    type: sharegpt
+  - path: AquaV/rainy-sharegpt-advanced-prefills-filtered 
+    type: sharegpt
+  - path: anthracite-core/Gryphe-Opus-Charcard-Roleplay
+    type: sharegpt
+  - path: anthracite-org/kalo-opus-instruct-22k-no-refusal
+    type: sharegpt
+  - path: lodrick-the-lafted/kalo-opus-instruct-3k-filtered
+    type: sharegpt
+  - path: anthracite-org/nopm_claude_writing_fixed
+    type: sharegpt
+  - path: anthracite-org/kalo_opus_misc_240827
+    type: sharegpt
+  - path: anthracite-org/kalo_misc_part2
+    type: sharegpt
+  - path: NewEden/Claude-Instruct-2.7K
+    type: sharegpt
+  - path: NewEden/Claude-Instruct-5K
+    type: sharegpt
+shuffle_merged_datasets: true
+dataset_prepared_path: dataset_prepared
+val_set_size: 0.02
+output_dir: 12b-out-rslora-SE
+
+## LIGGER
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_layer_norm: true
+liger_glu_activation: true
+liger_fused_linear_cross_entropy: true
+
+## CTX settings
+sequence_len: 16384
+sample_packing: true
+eval_sample_packing: true
+pad_to_sequence_len: true
+
+## Lora 
+adapter: lora
+lora_model_dir:
+lora_r: 128
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_linear: true
+lora_fan_in_fan_out:
+peft_use_rslora: true
+lora_modules_to_save:
+  - embed_tokens
+  - lm_head
+
+## WandB
+wandb_project: rei
+wandb_entity:
+wandb_watch:
+wandb_name: daring-mango
+wandb_log_model:
+
+## evals
+evals_per_epoch: 4
+eval_table_size:
+eval_max_new_tokens: 128
+
+## hoe params
+gradient_accumulation_steps: 4
+micro_batch_size: 1
+num_epochs: 2
+optimizer: paged_ademamix_8bit
+# optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 2.83e-5
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: unsloth
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+s2_attention:
+
+warmup_steps: 40
+saves_per_epoch: 2
+debug:
+## for ademiamix 
+deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
+## for adamw
+# deepspeed: ./deepspeed_configs/zero3_bf16.json
+weight_decay: 0.01
+fsdp:
+fsdp_config:
+special_tokens:
+   pad_token: <pad>
+
+```
+</details><br>
+
+
+## Training
+The training was done for 2 epochs. We used  4x[3090s](https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3090-3090ti/) GPUs graciously provided by @intervitens for the fine-tuning of the model.
+
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+
+## Safety
+
+But why?