--- tags: - chat datasets: - NewEden/OpenCAI-ShareGPT - NewEden/vanilla-backrooms-claude-sharegpt - anthracite-org/kalo_opus_misc_240827 - anthracite-org/kalo_misc_part2 - NewEden/RP-logs-V2-Experimental - NewEden/BlueSky-Experimental-sharegpt - NewEden/Misc-Mang-Sharegpt Language: - En Pipeline_tag: text-generation Base_model: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b Tags: - Chat --- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66c26b6fb01b19d8c3c2467b/KrGHGgjFcRNfDjt5hRqfh.png) A finetune of Pocketdoc's Personality Engine with a data mix similar to Ohashi-NeMo. After reviewing the dataset and tweaking some hparams, Thanks to Pocketdoc & Doctor Shotgun, this model has once again impressed me with its cohesiveness and writing quality. Once again it's meant to be "Short" & Sweet # Quants GGUF: https://huggingface.co/Delta-Vector/Francois-PE-12B-GGUF EXL2 : https://huggingface.co/Delta-Vector/Francois-PE-12B-EXL2 ## Prompting Model has been tuned with the ChatML formatting. 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 """ ``` ## System Prompting I would highly recommend using either Euryale's system prompt or the EVA system prompt with the model.
See Sao10k's Euryale System Prompt ``` Currently, your role is {{char}}, described in detail below. As {{char}}, continue the narrative exchange with {{user}}. • 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}}. • 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. Follow the instructions in , avoiding the items listed in . ```

See EVA System Prompt ``` 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 ### 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.

### 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. ", ```
## Axolotl config
See axolotl config Axolotl version: ` 0.5.0` ```yaml base_model: PocketDoc_Dans-PersonalityEngine-V1.1.0-12b 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: sharegpt - path: NewEden/vanilla-backrooms-claude-sharegpt type: sharegpt - path: anthracite-org/kalo_opus_misc_240827 type: sharegpt - path: anthracite-org/kalo_misc_part2 type: sharegpt - path: NewEden/RP-logs-V2-Experimental type: sharegpt - path: NewEden/Misc-Mang-Sharegpt type: sharegpt - path: NewEden/BlueSky-Experimental-sharegpt type: sharegpt dataset_prepared_path: dataset_prepared val_set_size: 0.0 output_dir: 12b-out-r2 sequence_len: 24576 sample_packing: true pad_to_sequence_len: true adapter: lora lora_model_dir: lora_r: 128 lora_alpha: 16 lora_dropout: 0.05 peft_use_rslora: true lora_target_modules: - gate_proj - down_proj - up_proj - q_proj - v_proj - k_proj - o_proj lora_modules_to_save: - embed_tokens - lm_head wandb_project: 12b-control wandb_entity: wandb_watch: wandb_name: 12b-control-r2 wandb_log_model: gradient_accumulation_steps: 1 micro_batch_size: 1 num_epochs: 4 optimizer: paged_ademamix_8bit # 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 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_cpuoffload_params.json weight_decay: 0.03 fsdp: fsdp_config: special_tokens: pad_token: ```

## Credits Thank you to [Lucy Knada](https://huggingface.co/lucyknada), [Intervitens](https://huggingface.co/intervitens),[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. [Built with Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) ## Safety ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66c26b6fb01b19d8c3c2467b/bL0o_4bvbkmzAvK3W8gu2.png)