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--- |
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language: |
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- en |
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license: apache-2.0 |
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model-index: |
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- name: flux-base-optimized |
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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: 65.44 |
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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=chanwit/flux-base-optimized |
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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: 81.74 |
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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=chanwit/flux-base-optimized |
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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: 59.74 |
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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=chanwit/flux-base-optimized |
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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: 50.02 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chanwit/flux-base-optimized |
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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: 77.74 |
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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=chanwit/flux-base-optimized |
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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: 44.66 |
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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=chanwit/flux-base-optimized |
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name: Open LLM Leaderboard |
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--- |
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# Flux-Base-Optimized |
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`flux-base-optimized` is the base model for finetuning the series of `flux-7b` models. |
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It is hierarchical SLERP merged from the following models |
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* mistralai/Mistral-7B-v0.1 (Apache 2.0) |
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* teknium/OpenHermes-2.5-Mistral-7B (Apache 2.0) |
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* Intel/neural-chat-7b-v3-3 (Apache 2.0) |
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* meta-math/MetaMath-Mistral-7B (Apache 2.0) |
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* openchat/openchat-3.5-0106 was openchat/openchat-3.5-1210 (Apache 2.0) |
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Here's how we did the hierarchical SLERP merge. |
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``` |
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[flux-base-optimized] |
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↑ |
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| |
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[stage-1]-+-[openchat] |
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↑ |
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| |
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[stage-0]-+-[meta-math] |
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↑ |
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| |
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[openhermes]-+-[neural-chat] |
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``` |
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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_chanwit__flux-base-optimized) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |63.22| |
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|AI2 Reasoning Challenge (25-Shot)|65.44| |
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|HellaSwag (10-Shot) |81.74| |
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|MMLU (5-Shot) |59.74| |
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|TruthfulQA (0-shot) |50.02| |
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|Winogrande (5-shot) |77.74| |
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|GSM8k (5-shot) |44.66| |
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