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--- |
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license: apache-2.0 |
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tags: |
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- mergekit |
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- merge |
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- moe |
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base_model: |
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- mistralai/Mistral-7B-Instruct-v0.2 |
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- mistralai/Mistral-7B-Instruct-v0.1 |
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model-index: |
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- name: mistral-instruct-moe-experimental |
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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: 61.01 |
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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=osanseviero/mistral-instruct-moe-experimental |
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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: 81.55 |
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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=osanseviero/mistral-instruct-moe-experimental |
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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: 58.22 |
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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=osanseviero/mistral-instruct-moe-experimental |
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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: 60.4 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=osanseviero/mistral-instruct-moe-experimental |
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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: 76.09 |
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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=osanseviero/mistral-instruct-moe-experimental |
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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: 31.08 |
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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=osanseviero/mistral-instruct-moe-experimental |
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name: Open LLM Leaderboard |
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--- |
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# Mistral Instruct MoE experimental |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit) using the `mixtral` branch. |
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**This is an experimental model and has nothing to do with Mixtral. Mixtral is not a merge of models per se, but a transformer with MoE layers learned during training** |
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This uses a random gate, so I expect not great results. We'll see! |
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## Merge Details |
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### Merge Method |
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This model was merged using the MoE merge method. |
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### Models Merged |
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The following models were included in the merge: |
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* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) |
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* [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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base_model: mistralai/Mistral-7B-Instruct-v0.2 |
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gate_mode: random |
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dtype: bfloat16 |
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experts: |
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- source_model: mistralai/Mistral-7B-Instruct-v0.2 |
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positive_prompts: [""] |
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- source_model: mistralai/Mistral-7B-Instruct-v0.1 |
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positive_prompts: [""] |
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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_osanseviero__mistral-instruct-moe-experimental) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |61.39| |
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|AI2 Reasoning Challenge (25-Shot)|61.01| |
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|HellaSwag (10-Shot) |81.55| |
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|MMLU (5-Shot) |58.22| |
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|TruthfulQA (0-shot) |60.40| |
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|Winogrande (5-shot) |76.09| |
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|GSM8k (5-shot) |31.08| |
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