Create README.md

README.md

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+---
+tags:
+- chat
+- roleplay
+- story-writing
+datasets:
+- NewEden/OpenCAI-ShareGPT
+- NewEden/vanilla-backrooms-claude-sharegpt
+- anthracite-org/kalo_opus_misc_240827
+- anthracite-org/kalo_misc_part2
+- NewEden/Roleplay-Logs-V2
+Language:
+- En
+Pipeline_tag: text-generation
+Base_model: mistralai/Mistral-Nemo-Instruct-2407
+Tags:
+- Chat
+base_model:
+- mistralai/Mistral-Nemo-Instruct-2407
+---
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/66c26b6fb01b19d8c3c2467b/7F2mX4Qqzmp8b0KG5i2DM.png)
+
+
+A finetune of Mistral-Nemo-Instruct-2407 using conversational data, aiming for prose that's best described as 'short' and 'sweet.' The model strictly adheres to one-on-one roleplay and is very dialogue heavy.
+
+# Quants 
+
+GGUF: https://huggingface.co/Delta-Vector/Ohashi-NeMo-12B-gguf
+
+EXL2 : https://huggingface.co/Delta-Vector/Ohashi-NeMo-12B-EXL2
+
+
+## Prompting
+Model has been tuned with the Mistral formatting. A typical input would look like this:
+
+```py
+<s>[INST] SYSTEM MESSAGE
+USER MESSAGE[/INST] ASSISTANT MESSAGE</s>[INST] USER MESSAGE[/INST]
+
+```
+
+
+## System Prompting
+
+I would highly recommend using either Euryale's system prompt or the EVA 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>
+
+Follow the instructions in <Guidelines></Guidelines>, avoiding the items listed in <Forbidden></Forbidden>.
+
+```
+</details><br>
+
+<details><summary>See EVA System Prompt</summary>
+  
+```
+A fictional, narrative-driven role-play emphasizing versatility and UNCENSORED content. Adherence to the `Role-playing Guidelines` is mandatory. Refer to the `Role-play Context` for accurate information.\n\n\n
+
+<!-- Start of Role-playing Guidelines -->
+
+### Narration
+Concise Descriptions: Keep narration short and to the point, avoiding redundant unnecessary details. Use a dynamic and varied vocabulary for impact.
+Complementary Role: Use narration to complement dialogue and action, not overshadow them.
+Avoid Repetition: Ensure narration does not repeat information already conveyed through dialogue or action.
+
+### Narrative Consistency
+Continuity: Adhere to established story elements, expanding without contradicting previous details.\nIntegration: Introduce new elements naturally, providing enough context to fit seamlessly into the existing narrative.
+
+### Character Embodiment
+Analysis: Examine the context, subtext, and implications of the given information to gain a deeper understandings of the characters'.
+Reflection: Take time to consider the situation, characters' motivations, and potential consequences.
+Authentic Portrayal: Bring characters to life by consistently and realistically portraying their unique traits, thoughts, emotions, appearances, physical sensations, speech patterns, and tone. Ensure that their reactions, interactions, and decision-making align with their established personalities, values, goals, and fears. Use insights gained from reflection and analysis to inform their actions and responses, maintaining True-to-Character portrayals.
+
+<!-- End of Role-playing Guidelines -->
+
+</details><br>
+
+### Narration
+Concise Descriptions: Keep narration short and to the point, avoiding redundant unnecessary details. Use a dynamic and varied vocabulary for impact.
+Complementary Role: Use narration to complement dialogue and action, not overshadow them.
+Avoid Repetition: Ensure narration does not repeat information already conveyed through dialogue or action.
+
+### Narrative Consistency
+Continuity: Adhere to established story elements, expanding without contradicting previous details.\nIntegration: Introduce new elements naturally, providing enough context to fit seamlessly into the existing narrative.
+
+### Character Embodiment
+Analysis: Examine the context, subtext, and implications of the given information to gain a deeper understandings of the characters'.
+Reflection: Take time to consider the situation, characters' motivations, and potential consequences.
+Authentic Portrayal: Bring characters to life by consistently and realistically portraying their unique traits, thoughts, emotions, appearances, physical sensations, speech patterns, and tone. Ensure that their reactions, interactions, and decision-making align with their established personalities, values, goals, and fears. Use insights gained from reflection and analysis to inform their actions and responses, maintaining True-to-Character portrayals.
+
+<!-- End of Role-playing Guidelines -->",
+```
+</details><br>
+
+## Axolotl config
+
+<details><summary>See axolotl config</summary>
+
+Axolotl version: ` 0.5.0`
+```yaml
+base_model: mistralai_Mistral-Nemo-Instruct-2407
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_swiglu: true
+liger_fused_linear_cross_entropy: true
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: NewEden/OpenCAI-ShareGPT
+    type: chat_template
+#    chat_template: mistralv3tekken
+    roles_to_train: ["gpt"]
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+    train_on_eos: turn
+  - path: NewEden/vanilla-backrooms-claude-sharegpt
+    type: chat_template
+#    chat_template: mistralv3tekken
+    roles_to_train: ["gpt"]
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+    train_on_eos: turn    
+  - path: anthracite-org/kalo_opus_misc_240827
+    type: chat_template
+#    chat_template: mistralv3tekken
+    roles_to_train: ["gpt"]
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+    train_on_eos: turn    
+  - path: anthracite-org/kalo_misc_part2
+    type: chat_template
+#    chat_template: mistralv3tekken
+    roles_to_train: ["gpt"]
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+    train_on_eos: turn
+  - path: NewEden/Roleplay-Logs-V2
+    type: chat_template
+#    chat_template: mistralv3tekken
+    roles_to_train: ["gpt"]
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+    train_on_eos: turn
+dataset_prepared_path: dataset_prepared
+val_set_size: 0.0
+output_dir: 12b-out-r2
+
+sequence_len: 16384
+sample_packing: true
+pad_to_sequence_len: true
+
+adapter: lora
+lora_model_dir:
+lora_r: 128
+lora_alpha: 16
+lora_dropout: 0.05 
+  #lora_target_linear:
+  #lora_fan_in_fan_out: true
+peft_use_rslora: true
+lora_target_modules:
+  - gate_proj
+  - down_proj
+  - up_proj
+  - q_proj
+  - v_proj
+  - k_proj
+  - o_proj
+
+
+wandb_project: 12b-control
+wandb_entity:
+wandb_watch:
+wandb_name: 12b-control-r2
+wandb_log_model:
+
+gradient_accumulation_steps: 2
+micro_batch_size: 1
+num_epochs: 4
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 0.00001
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: unsloth
+  #gradient_checkpointing_kwargs:
+  #  use_reentrant: false
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 40
+evals_per_epoch: 
+eval_table_size:
+eval_max_new_tokens:
+saves_per_epoch: 1
+debug:
+deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16.json
+weight_decay: 0.03
+fsdp:
+fsdp_config:
+special_tokens:
+  pad_token: <pad>
+```
+
+</details><br>
+
+## Credits
+
+Thank you to [Lucy Knada](https://huggingface.co/lucyknada), [Intervitens](https://huggingface.co/intervitens), [Tav](https://huggingface.co/tavtav), [Trappu](https://huggingface.co/Trappu), [Cgato](https://huggingface.co/cgato), [Kubernetes Bad](https://huggingface.co/kubernetes-bad) and the rest of [Anthracite](https://huggingface.co/anthracite-org) 
+
+
+## Training
+The training was done for 4 epochs. We used  4 x [RTX 3090s](https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3090-3090ti/) GPUs graciously provided by [Intervitens](https://huggingface.co/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
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/66c26b6fb01b19d8c3c2467b/Wjgbdd-YjB56SCgrjdtL3.png)