| --- |
| language: |
| - en |
| tags: |
| - chat |
| base_model: |
| - nvidia/Mistral-NeMo-Minitron-8B-Base |
| datasets: |
| - anthracite-org/c2_logs_16k_llama_v1.1 |
| - 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: Tor-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: 23.82 |
| name: strict accuracy |
| source: |
| url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Delta-Vector/Tor-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: 31.74 |
| name: normalized accuracy |
| source: |
| url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Delta-Vector/Tor-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: 5.44 |
| name: exact match |
| source: |
| url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Delta-Vector/Tor-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: 9.84 |
| name: acc_norm |
| source: |
| url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Delta-Vector/Tor-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: 8.82 |
| name: acc_norm |
| source: |
| url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Delta-Vector/Tor-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: 30.33 |
| name: accuracy |
| source: |
| url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Delta-Vector/Tor-8B |
| name: Open LLM Leaderboard |
| --- |
| |
|  |
|
|
|
|
|
|
| An earlier checkpoint of [Darkens-8B](https://huggingface.co/Delta-Vector/Darkens-8B) using the same configuration that i felt was different enough from it's 4 epoch cousin to release, Finetuned ontop of the Prune/Distill NeMo 8B done by Nvidia, This model aims to have generally good prose and writing while not falling into claude-isms. |
|
|
|
|
| # Quants |
|
|
| GGUF: https://huggingface.co/Delta-Vector/Tor-8B-GGUF |
|
|
| EXL2: https://huggingface.co/Delta-Vector/Tor-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: anthracite-org/c2_logs_16k_llama_v1.1 |
| 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) |
|
|
|
|
| ## Training |
| The training was done for 4 epochs. (This model is the 2 epoch checkpoint), 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__Tor-8B) |
|
|
| | Metric |Value| |
| |-------------------|----:| |
| |Avg. |18.33| |
| |IFEval (0-Shot) |23.82| |
| |BBH (3-Shot) |31.74| |
| |MATH Lvl 5 (4-Shot)| 5.44| |
| |GPQA (0-shot) | 9.84| |
| |MuSR (0-shot) | 8.82| |
| |MMLU-PRO (5-shot) |30.33| |
|
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|
