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Mixtral-8x7B-v0.1-top3 - GGUF
- Model creator: https://huggingface.co/itsliupeng/
- Original model: https://huggingface.co/itsliupeng/Mixtral-8x7B-v0.1-top3/
Original model description:
license: apache-2.0 model-index: - name: Mixtral-8x7B-v0.1-top3 results: - task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics: - type: acc_norm value: 67.41 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=itsliupeng/Mixtral-8x7B-v0.1-top3 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: num_few_shot: 10 metrics: - type: acc_norm value: 86.63 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=itsliupeng/Mixtral-8x7B-v0.1-top3 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: num_few_shot: 5 metrics: - type: acc value: 71.98 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=itsliupeng/Mixtral-8x7B-v0.1-top3 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics: - type: mc2 value: 48.58 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=itsliupeng/Mixtral-8x7B-v0.1-top3 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: num_few_shot: 5 metrics: - type: acc value: 82.4 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=itsliupeng/Mixtral-8x7B-v0.1-top3 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: num_few_shot: 5 metrics: - type: acc value: 57.54 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=itsliupeng/Mixtral-8x7B-v0.1-top3 name: Open LLM Leaderboard
Just to obtain metrics from the HuggingFaceH4/open_llm_leaderboard.
To evaluate the impact of increasing the number of experts, modify the num_experts_per_tok setting in the config.json file from 2 to 3. This alteration aims to specifically determine if such a change leads to any notable improvements in performance metrics.
Other details to note include that the model weights are directly copied from the source available at https://huggingface.co/mistralai/Mixtral-8x7B-v0.1.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 69.09 |
| AI2 Reasoning Challenge (25-Shot) | 67.41 |
| HellaSwag (10-Shot) | 86.63 |
| MMLU (5-Shot) | 71.98 |
| TruthfulQA (0-shot) | 48.58 |
| Winogrande (5-shot) | 82.40 |
| GSM8k (5-shot) | 57.54 |
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