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--- |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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- llama |
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base_model: |
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- v000000/L3.1-8B-RP-Test-003-Task_Arithmetic |
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- v000000/L3.1-Niitorm-8B-t0.0001 |
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- Sao10K/L3.1-8B-Niitama-v1.1 |
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- arcee-ai/Llama-3.1-SuperNova-Lite |
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- akjindal53244/Llama-3.1-Storm-8B |
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- arcee-ai/Llama-Spark |
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- v000000/L3.1-8B-RP-Test-002-Task_Arithmetic |
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- grimjim/Llama-3-Instruct-abliteration-LoRA-8B |
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model-index: |
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- name: L3.1-Storniitova-8B |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: IFEval (0-Shot) |
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type: HuggingFaceH4/ifeval |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: inst_level_strict_acc and prompt_level_strict_acc |
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value: 78.17 |
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name: strict accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/L3.1-Storniitova-8B |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: BBH (3-Shot) |
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type: BBH |
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args: |
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num_few_shot: 3 |
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metrics: |
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- type: acc_norm |
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value: 30.81 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/L3.1-Storniitova-8B |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MATH Lvl 5 (4-Shot) |
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type: hendrycks/competition_math |
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args: |
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num_few_shot: 4 |
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metrics: |
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- type: exact_match |
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value: 13.29 |
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name: exact match |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/L3.1-Storniitova-8B |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: GPQA (0-shot) |
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type: Idavidrein/gpqa |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc_norm |
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value: 5.26 |
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name: acc_norm |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/L3.1-Storniitova-8B |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MuSR (0-shot) |
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type: TAUR-Lab/MuSR |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc_norm |
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value: 9.96 |
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name: acc_norm |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/L3.1-Storniitova-8B |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MMLU-PRO (5-shot) |
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type: TIGER-Lab/MMLU-Pro |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 30.84 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/L3.1-Storniitova-8B |
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name: Open LLM Leaderboard |
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--- |
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# Llama-3.1-Storniitova-8B |
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Storniitova-8B is a RP/Instruct model built on the foundation of Llama-3.1-SuperNova-Lite, which is distilled from the 405B parameter variant of Llama-3.1 |
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By only changing the vector tasks, I attempt to retain the full 405B distillation while learning roleplaying capabilties. |
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# (GGUF) mradermacher quants: |
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* [GGUFs](https://huggingface.co/mradermacher/L3.1-Storniitova-8B-GGUF) |
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* [GGUFs imatrix](https://huggingface.co/mradermacher/L3.1-Storniitova-8B-i1-GGUF) |
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# (GGUF) QuantFactory quants: |
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* [GGUFs](https://huggingface.co/QuantFactory/L3.1-Storniitova-8B-GGUF) |
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----------------------------------------------------------------------------------------------------------- |
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# merge |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit) and other proprietary tools. |
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## Merge Details |
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### Merge Method |
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This model was merged using the <b>SLERP, Task_Arithmetic and NEARSWAP</b> merge method. |
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### Models Merged |
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The following models were included in the merge: |
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* [v000000/L3.1-Niitorm-8B-t0.0001](https://huggingface.co/v000000/L3.1-Niitorm-8B-t0.0001) |
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* [akjindal53244/Llama-3.1-Storm-8B](https://huggingface.co/akjindal53244/Llama-3.1-Storm-8B) |
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* [arcee-ai/Llama-Spark](https://huggingface.co/arcee-ai/Llama-Spark) |
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* [arcee-ai/Llama-3.1-SuperNova-Lite](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite) |
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* [v000000/L3.1-8B-RP-Test-003-Task_Arithmetic](https://huggingface.co/v000000/L3.1-8B-RP-Test-003-Task_Arithmetic) |
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* [Sao10K/L3.1-8B-Niitama-v1.1](https://huggingface.co/Sao10K/L3.1-8B-Niitama-v1.1) + [grimjim/Llama-3-Instruct-abliteration-LoRA-8B](https://huggingface.co/grimjim/Llama-3-Instruct-abliteration-LoRA-8B) |
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* [v000000/L3.1-8B-RP-Test-002-Task_Arithmetic](https://huggingface.co/v000000/L3.1-8B-RP-Test-002-Task_Arithmetic) + [grimjim/Llama-3-Instruct-abliteration-LoRA-8B](https://huggingface.co/grimjim/Llama-3-Instruct-abliteration-LoRA-8B) |
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### Recipe |
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The following YAML configuration was used to produce this model: |
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```yaml |
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#Step1 - Add smarts to Niitama with alchemonaut's algorithm. |
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slices: |
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- sources: |
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- model: Sao10K/L3.1-8B-Niitama-v1.1+grimjim/Llama-3-Instruct-abliteration-LoRA-8B |
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layer_range: [0, 32] |
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- model: akjindal53244/Llama-3.1-Storm-8B |
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layer_range: [0, 32] |
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merge_method: nearswap |
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base_model: Sao10K/L3.1-8B-Niitama-v1.1+grimjim/Llama-3-Instruct-abliteration-LoRA-8B |
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parameters: |
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t: |
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- value: 0.0001 |
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dtype: bfloat16 |
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out_type: float16 |
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#Step 2 - Learn vectors onto Supernova 0.4(Niitorm) |
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models: |
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- model: arcee-ai/Llama-3.1-SuperNova-Lite |
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parameters: |
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weight: 1.0 |
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- model: v000000/L3.1-Niitorm-8B-t0.0001 |
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parameters: |
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weight: 0.4 |
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merge_method: task_arithmetic |
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base_model: arcee-ai/Llama-3.1-SuperNova-Lite |
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parameters: |
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normalize: false |
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dtype: float16 |
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#Step 3 - Fully learn vectors onto Supernova 1.25(Niitorm) |
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models: |
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- model: arcee-ai/Llama-3.1-SuperNova-Lite |
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parameters: |
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weight: 0.0 |
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- model: v000000/L3.1-Niitorm-8B-t0.0001 |
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parameters: |
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weight: 1.25 |
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merge_method: task_arithmetic |
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base_model: arcee-ai/Llama-3.1-SuperNova-Lite |
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parameters: |
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normalize: false |
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dtype: float16 |
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#Step 4 - Merge checkpoints and keep output/input Supernova heavy |
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#Merge with a triangular slerp from sophosympatheia. |
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models: |
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- model: v000000/L3.1-8B-RP-Test-003-Task_Arithmetic |
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merge_method: slerp |
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base_model: v000000/L3.1-8B-RP-Test-002-Task_Arithmetic+grimjim/Llama-3-Instruct-abliteration-LoRA-8B |
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# This model needed some abliteration^ |
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parameters: |
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t: |
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- value: [0, 0, 0.3, 0.4, 0.5, 0.6, 0.5, 0.4, 0.3, 0, 0] |
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dtype: float16 |
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``` |
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*SLERP distribution* used to smoothly blend the mostly Supernova base with the roleplay vectors: |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_v000000__L3.1-Storniitova-8B) |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. |28.06| |
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|IFEval (0-Shot) |78.17| |
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|BBH (3-Shot) |30.81| |
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|MATH Lvl 5 (4-Shot)|13.29| |
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|GPQA (0-shot) | 5.26| |
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|MuSR (0-shot) | 9.96| |
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|MMLU-PRO (5-shot) |30.84| |
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