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--- |
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language: |
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- en |
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license: llama2 |
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tags: |
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- Xwin |
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- Euryale 1.3 |
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- Platypus2 |
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- WinterGoddess |
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- frankenmerge |
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- dare |
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- ties |
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- 90b |
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pipeline_tag: conversational |
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model-index: |
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- name: BigWeave-v12-90b |
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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: AI2 Reasoning Challenge (25-Shot) |
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type: ai2_arc |
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config: ARC-Challenge |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: acc_norm |
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value: 68.09 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=llmixer/BigWeave-v12-90b |
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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: HellaSwag (10-Shot) |
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type: hellaswag |
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split: validation |
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args: |
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num_few_shot: 10 |
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metrics: |
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- type: acc_norm |
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value: 87.7 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=llmixer/BigWeave-v12-90b |
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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 (5-Shot) |
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type: cais/mmlu |
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config: all |
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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: 69.41 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=llmixer/BigWeave-v12-90b |
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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: TruthfulQA (0-shot) |
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type: truthful_qa |
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config: multiple_choice |
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split: validation |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: mc2 |
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value: 61.35 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=llmixer/BigWeave-v12-90b |
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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: Winogrande (5-shot) |
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type: winogrande |
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config: winogrande_xl |
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split: validation |
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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: 81.22 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=llmixer/BigWeave-v12-90b |
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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: GSM8k (5-shot) |
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type: gsm8k |
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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: 47.38 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=llmixer/BigWeave-v12-90b |
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name: Open LLM Leaderboard |
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--- |
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# BigWeave v12 90B |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65a6db055c58475cf9e6def1/4CbbAN-X7ZWj702JrcCGH.png" width=600> |
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The BigWeave models aim to identify merge settings equaling or surpassing the performance of Goliath-120b. The version number merely tracks various attempts and is not a quality indicator. Only results demonstrating good performance are retained and shared. |
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This version is a DARE-TIES merge of two passthrough merges: Xwin-LM-70b-v0.1 + Euryale-1.3-70b ([BigWeave v6](https://huggingface.co/llmixer/BigWeave-v6-90b)) and Platypus2-70b-instruct + WinterGoddess-1.4x-70b (BigWeave v8). Both models individually show strong performance, and the merged model achieves even lower perplexity than each model separately. |
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The 90b size allows for 4bit quants to fit into 48GB of VRAM. |
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# Prompting Format |
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Vicuna and Alpaca. |
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# Merge process |
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The models used in the merge are [Xwin-LM-70b-v0.1](https://huggingface.co/Xwin-LM/Xwin-LM-70B-V0.1), [Euryale-1.3-70b](https://huggingface.co/Sao10K/Euryale-1.3-L2-70B), [Platypus2-70b-instruct](https://huggingface.co/garage-bAInd/Platypus2-70B-instruct) and [WinterGoddess-1.4x-70b](https://huggingface.co/Sao10K/WinterGoddess-1.4x-70B-L2). |
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Merge configuration: |
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``` |
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slices: |
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- sources: |
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- model: Xwin-LM/Xwin-LM-70B-V0.1 |
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layer_range: [0,12] |
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- sources: |
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- model: Sao10K/Euryale-1.3-L2-70B |
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layer_range: [9,14] |
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- sources: |
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- model: Xwin-LM/Xwin-LM-70B-V0.1 |
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layer_range: [12,62] |
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- sources: |
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- model: Sao10K/Euryale-1.3-L2-70B |
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layer_range: [54,71] |
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- sources: |
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- model: Xwin-LM/Xwin-LM-70B-V0.1 |
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layer_range: [62,80] |
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merge_method: passthrough |
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dtype: float16 |
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--- |
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slices: |
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- sources: |
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- model: garage-bAInd/Platypus2-70B-instruct |
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layer_range: [0,12] |
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- sources: |
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- model: Sao10K/WinterGoddess-1.4x-70B-L2 |
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layer_range: [9,14] |
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- sources: |
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- model: garage-bAInd/Platypus2-70B-instruct |
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layer_range: [12,62] |
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- sources: |
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- model: Sao10/WinterGoddess-1.4x-70B-L2 |
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layer_range: [54,71] |
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- sources: |
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- model: garage-bAInd/Platypus2-70B-instruct |
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layer_range: [62,80] |
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merge_method: passthrough |
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dtype: float16 |
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--- |
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models: |
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- model: llmixer/BigWeave-v8-90b |
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parameters: |
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weight: 0.5 |
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density: 0.25 |
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merge_method: dare_ties |
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base_model: llmixer/BigWeave-v6-90b |
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dtype: float16 |
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``` |
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# Acknowledgements |
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[@Xwin-LM](https://huggingface.co/Xwin-LM) For creating Xwin |
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[@Sao10K](https://huggingface.co/Sao10K) For creating Euryale and WinterGoddess |
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[@garage-bAInd](https://huggingface.co/garage-bAInd) For creating Platypus2 |
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[@alpindale](https://huggingface.co/alpindale) For creating the original Goliath |
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[@chargoddard](https://huggingface.co/chargoddard) For developing [mergekit](https://github.com/cg123/mergekit). |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_llmixer__BigWeave-v12-90b) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |69.19| |
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|AI2 Reasoning Challenge (25-Shot)|68.09| |
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|HellaSwag (10-Shot) |87.70| |
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|MMLU (5-Shot) |69.41| |
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|TruthfulQA (0-shot) |61.35| |
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|Winogrande (5-shot) |81.22| |
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|GSM8k (5-shot) |47.38| |
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