| | --- |
| | language: |
| | - en |
| | license: agpl-3.0 |
| | tags: |
| | - chat |
| | base_model: |
| | - nvidia/Mistral-NeMo-Minitron-8B-Base |
| | datasets: |
| | - anthracite-org/kalo-opus-instruct-22k-no-refusal |
| | - Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned |
| | - lodrick-the-lafted/kalo-opus-instruct-3k-filtered |
| | - anthracite-org/nopm_claude_writing_fixed |
| | - Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned |
| | - anthracite-org/kalo_opus_misc_240827 |
| | - anthracite-org/kalo_misc_part2 |
| | License: agpl-3.0 |
| | Language: |
| | - En |
| | Pipeline_tag: text-generation |
| | Base_model: nvidia/Mistral-NeMo-Minitron-8B-Base |
| | Tags: |
| | - Chat |
| | model-index: |
| | - name: Darkens-8B |
| | results: |
| | - task: |
| | type: text-generation |
| | name: Text Generation |
| | dataset: |
| | name: IFEval (0-Shot) |
| | type: HuggingFaceH4/ifeval |
| | args: |
| | num_few_shot: 0 |
| | metrics: |
| | - type: inst_level_strict_acc and prompt_level_strict_acc |
| | value: 25.48 |
| | name: strict accuracy |
| | source: |
| | url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Delta-Vector/Darkens-8B |
| | name: Open LLM Leaderboard |
| | - task: |
| | type: text-generation |
| | name: Text Generation |
| | dataset: |
| | name: BBH (3-Shot) |
| | type: BBH |
| | args: |
| | num_few_shot: 3 |
| | metrics: |
| | - type: acc_norm |
| | value: 32.88 |
| | name: normalized accuracy |
| | source: |
| | url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Delta-Vector/Darkens-8B |
| | name: Open LLM Leaderboard |
| | - task: |
| | type: text-generation |
| | name: Text Generation |
| | dataset: |
| | name: MATH Lvl 5 (4-Shot) |
| | type: hendrycks/competition_math |
| | args: |
| | num_few_shot: 4 |
| | metrics: |
| | - type: exact_match |
| | value: 5.06 |
| | name: exact match |
| | source: |
| | url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Delta-Vector/Darkens-8B |
| | name: Open LLM Leaderboard |
| | - task: |
| | type: text-generation |
| | name: Text Generation |
| | dataset: |
| | name: GPQA (0-shot) |
| | type: Idavidrein/gpqa |
| | args: |
| | num_few_shot: 0 |
| | metrics: |
| | - type: acc_norm |
| | value: 9.96 |
| | name: acc_norm |
| | source: |
| | url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Delta-Vector/Darkens-8B |
| | name: Open LLM Leaderboard |
| | - task: |
| | type: text-generation |
| | name: Text Generation |
| | dataset: |
| | name: MuSR (0-shot) |
| | type: TAUR-Lab/MuSR |
| | args: |
| | num_few_shot: 0 |
| | metrics: |
| | - type: acc_norm |
| | value: 9.02 |
| | name: acc_norm |
| | source: |
| | url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Delta-Vector/Darkens-8B |
| | name: Open LLM Leaderboard |
| | - task: |
| | type: text-generation |
| | name: Text Generation |
| | dataset: |
| | name: MMLU-PRO (5-shot) |
| | type: TIGER-Lab/MMLU-Pro |
| | config: main |
| | split: test |
| | args: |
| | num_few_shot: 5 |
| | metrics: |
| | - type: acc |
| | value: 30.4 |
| | name: accuracy |
| | source: |
| | url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Delta-Vector/Darkens-8B |
| | name: Open LLM Leaderboard |
| | --- |
| | |
| |
|
| | This is the fully cooked, 4 epoch version of [Tor-8B](https://huggingface.co/Delta-Vector/Tor-8B), this is an experimental version, despite being trained for 4 epochs, the model feels fresh and new and is not overfit, This model aims to have generally good prose and writing while not falling into claude-isms, it follows the *actions* "dialogue" format heavily. |
| |
|
| |
|
| | # Quants |
| |
|
| | GGUF: https://huggingface.co/Delta-Vector/Darkens-8B-GGUF |
| |
|
| | EXL2: https://huggingface.co/Delta-Vector/Darkens-8B-EXL2 |
| |
|
| |
|
| | ## Prompting |
| | Model has been Instruct tuned with the ChatML formatting. A typical input would look like this: |
| |
|
| | ```py |
| | """<|im_start|>system |
| | system prompt<|im_end|> |
| | <|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 Sao10k's Euryale System prompt, But the "Roleplay Simple" system prompt provided within SillyTavern will work aswell. |
| |
|
| | ``` |
| | 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>. |
| | |
| | ``` |
| |
|
| |
|
| | ## Axolotl config |
| |
|
| | <details><summary>See axolotl config</summary> |
| |
|
| | Axolotl version: `0.4.1` |
| | ```yaml |
| | base_model: Dans-DiscountModels/Mistral-NeMo-Minitron-8B-Base-ChatML |
| | model_type: AutoModelForCausalLM |
| | tokenizer_type: AutoTokenizer |
| | |
| | plugins: |
| | - axolotl.integrations.liger.LigerPlugin |
| | liger_rope: true |
| | liger_rms_norm: true |
| | liger_swiglu: true |
| | #liger_cross_entropy: true |
| | liger_fused_linear_cross_entropy: true |
| | |
| | load_in_8bit: false |
| | load_in_4bit: false |
| | strict: false |
| | |
| | datasets: |
| | - path: PRIVATE CLAUDE LOG FILTER |
| | type: sharegpt |
| | conversation: chatml |
| | - path: anthracite-org/kalo-opus-instruct-22k-no-refusal |
| | type: sharegpt |
| | conversation: chatml |
| | - path: Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned |
| | type: sharegpt |
| | conversation: chatml |
| | - path: lodrick-the-lafted/kalo-opus-instruct-3k-filtered |
| | type: sharegpt |
| | conversation: chatml |
| | - path: anthracite-org/nopm_claude_writing_fixed |
| | type: sharegpt |
| | conversation: chatml |
| | - path: Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned |
| | type: sharegpt |
| | conversation: chatml |
| | - path: anthracite-org/kalo_opus_misc_240827 |
| | type: sharegpt |
| | conversation: chatml |
| | - path: anthracite-org/kalo_misc_part2 |
| | type: sharegpt |
| | conversation: chatml |
| | chat_template: chatml |
| | shuffle_merged_datasets: false |
| | default_system_message: "You are a helpful assistant that responds to the user." |
| | dataset_prepared_path: /workspace/data/8b-nemo-fft-data |
| | val_set_size: 0.0 |
| | output_dir: /workspace/data/8b-nemo-fft-out |
| | |
| | sequence_len: 16384 |
| | sample_packing: true |
| | eval_sample_packing: false |
| | pad_to_sequence_len: true |
| | |
| | adapter: |
| | lora_model_dir: |
| | lora_r: |
| | lora_alpha: |
| | lora_dropout: |
| | lora_target_linear: |
| | lora_fan_in_fan_out: |
| | |
| | wandb_project: 8b-nemoprune-fft |
| | wandb_entity: |
| | wandb_watch: |
| | wandb_name: attempt-01 |
| | wandb_log_model: |
| | |
| | gradient_accumulation_steps: 2 |
| | micro_batch_size: 2 |
| | num_epochs: 4 |
| | optimizer: adamw_bnb_8bit |
| | lr_scheduler: cosine |
| | learning_rate: 0.00001 |
| | |
| | train_on_inputs: false |
| | group_by_length: false |
| | bf16: auto |
| | fp16: |
| | tf32: false |
| | |
| | gradient_checkpointing: true |
| | early_stopping_patience: |
| | resume_from_checkpoint: /workspace/workspace/thing |
| | local_rank: |
| | logging_steps: 1 |
| | xformers_attention: |
| | flash_attention: true |
| | |
| | warmup_steps: 10 |
| | evals_per_epoch: |
| | eval_table_size: |
| | eval_max_new_tokens: |
| | saves_per_epoch: 1 |
| | debug: |
| | deepspeed: deepspeed_configs/zero3_bf16.json |
| | weight_decay: 0.001 |
| | fsdp: |
| | fsdp_config: |
| | special_tokens: |
| | pad_token: <pad> |
| | |
| | |
| | ``` |
| |
|
| | </details><br> |
| |
|
| | ## Credits |
| |
|
| | Thank you to [Lucy Knada](https://huggingface.co/lucyknada), [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.) |
| |
|
| |
|
| | ## Training |
| | The training was done for 4 epochs. I used 10 x [A40s](https://www.nvidia.com/en-us/data-center/a40/) GPUs graciously provided by [Kalomaze](https://huggingface.co/kalomaze) for the full-parameter 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) |
| | # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) |
| | Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Delta-Vector__Darkens-8B) |
| |
|
| | | Metric |Value| |
| | |-------------------|----:| |
| | |Avg. |18.80| |
| | |IFEval (0-Shot) |25.48| |
| | |BBH (3-Shot) |32.88| |
| | |MATH Lvl 5 (4-Shot)| 5.06| |
| | |GPQA (0-shot) | 9.96| |
| | |MuSR (0-shot) | 9.02| |
| | |MMLU-PRO (5-shot) |30.40| |
| |
|
| |
|
