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|
| --- |
| |
| tags: |
| - chat |
| - roleplay |
| - storywriting |
| - llama |
| - finetune |
| datasets: |
| - NewEden/OpenCAI-ShareGPT |
| - NewEden/Roleplay-Logs-Sharegpt-Ngram-cleaned |
| - HuggingFaceH4/ultrafeedback_binarized |
| - NewEden/full-opus-chosen-hermes-rejected-kto-v1-merged |
| Language: |
| - En |
| Pipeline_tag: text-generation |
| Base_model: arcee-ai/Llama-3.1-SuperNova-Lite |
| Tags: |
| - Chat |
|
|
| --- |
| |
| [](https://hf.co/QuantFactory) |
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| # QuantFactory/Control-Nanuq-8B-GGUF |
| This is quantized version of [Delta-Vector/Control-Nanuq-8B](https://huggingface.co/Delta-Vector/Control-Nanuq-8B) created using llama.cpp |
|
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| # Original Model Card |
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| *Nanuqsaurus, a polar tyrannosaur, was a cold-adapted apex predator that prowled the Arctic during the Cretaceous, hunting what dared live in the cold nights* |
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| A fine-tuned version of LLaMA 3.1 8B Supernova, designed to be "short and sweet" by minimizing narration and lengthy responses. It was fine-tuned over 4 epochs using OpenCAI and RP logs, with DPO applied to enhance coherence. Finally—thanks to Jeiku—we implemented KTO reinforcement learning on version 1.1, significantly improving the model's prose and creativity. |
| # Quants |
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| GGUF: https://huggingface.co/Delta-Vector/Control-Nanuq-8B-GGUF |
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| EXL2 (Thanks Lucy <3) : https://huggingface.co/Delta-Vector/Control-Nanuq-8B |
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| ## Prompting |
| Model has been tuned with the LLama-Instruct formatting. A typical input would look like this: |
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| ```py |
| """<|begin_of_text|><|start_header_id|>system<|end_header_id|> |
| You are an AI built to rid the world of bonds and journeys!<|eot_id|><|start_header_id|>user<|end_header_id|> |
| Bro i just wanna know what is 2+2?<|eot_id|><|start_header_id|>assistant<|end_header_id|> |
| """ |
| |
| ``` |
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| *Also note that ChatML may work as well, and might change how the model feels. while still being coherent and stable* |
|
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| ## System Prompting |
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| I would highly recommend using either Euryale's system prompt or the EVA system prompt with the model. |
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| <details><summary>See Sao10k's Euryale System Prompt</summary> |
|
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| ``` |
| 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> |
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| <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 |
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| *For previous configs such as the base Axolotl finetune/DPO trainer config, Refer back to the older version of Control* |
| <details><summary>See Axolotl KTO Trainer config</summary> |
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| ```yaml |
| base_model: Delta-Vector/Control-8B-V1.1 |
| model_type: AutoModelForCausalLM |
| tokenizer_type: AutoTokenizer |
| |
| load_in_8bit: false |
| load_in_4bit: false |
| strict: false |
| |
| hub_model_id: jeiku/controlkto |
| hub_strategy: "all_checkpoints" |
| push_dataset_to_hub: |
| hf_use_auth_token: true |
| |
| chat_template: llama3 |
| |
| rl: kto |
| rl_beta: 0.2 |
| kto_desirable_weight: 0.2 |
| |
| datasets: |
| - path: NewEden/full-opus-chosen-hermes-rejected-kto-v1-merged |
| type: llama3.argilla |
| |
| shuffle_merged_datasets: true |
| val_set_size: 0.0 |
| output_dir: ./outputs/out |
| |
| adapter: lora |
| lora_model_dir: |
| |
| lora_r: 32 |
| lora_alpha: 64 |
| lora_dropout: 0.05 |
| lora_target_linear: true |
| lora_fan_in_fan_out: |
| |
| sequence_len: 8192 |
| sample_packing: false |
| eval_sample_packing: false |
| pad_to_sequence_len: false |
| |
| wandb_project: controlkto |
| wandb_entity: |
| wandb_watch: |
| wandb_name: controlkto |
| wandb_log_model: |
| |
| gradient_accumulation_steps: 16 |
| micro_batch_size: 2 |
| num_epochs: 2 |
| max_steps: 500 |
| |
| optimizer: adamw_8bit |
| lr_scheduler: cosine |
| learning_rate: 0.0001 |
| weight_decay: 0.05 |
| |
| train_on_inputs: false |
| group_by_length: false |
| bf16: auto |
| fp16: |
| tf32: true |
| |
| gradient_checkpointing: true |
| gradient_checkpointing_kwargs: |
| use_reentrant: true |
| remove_unused_columns: false |
| early_stopping_patience: |
| resume_from_checkpoint: |
| local_rank: |
| logging_steps: 1 |
| xformers_attention: |
| flash_attention: true |
| |
| warmup_steps: 10 |
| evals_per_epoch: 2 |
| eval_table_size: |
| eval_max_new_tokens: |
| saves_per_epoch: 1 |
| |
| debug: |
| deepspeed: |
| fsdp: |
| fsdp_config: |
| fsdp: |
| fsdp_config: |
| |
| special_tokens: |
| pad_token: <|finetune_right_pad_id|> |
| eos_token: <|eot_id|> |
| ``` |
|
|
| </details><br> |
|
|
| ## Credits |
|
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| Thank you to [Lucy Knada](https://huggingface.co/lucyknada), [jeiku](https://huggingface.co/jeiku), [Intervitens](https://huggingface.co/intervitens), [Kalomaze](https://huggingface.co/kalomaze), [Kubernetes Bad](https://huggingface.co/kubernetes-bad) and the rest of [Anthracite](https://huggingface.co/anthracite-org) (But not Alpin.) |
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|
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| ## 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 full-parameter fine-tuning of the model, DPO tuning was on 1 x [Nvidia T4 GPU](https://www.nvidia.com/en-us/data-center/tesla-t4/) and finally KTO was perforaned with 1 x [H100](https://www.nvidia.com/en-us/data-center/h100/) GPU graciosuly provided by jeiku |
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| [<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) |
|
|
| [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/made%20with%20unsloth.png" alt="Made with Unsloth" width="200" height="32"/>](https://github.com/unslothai/unsloth) |
|
|
| ## Safety |
|
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| Nein. |
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|
