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--- |
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language: |
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- en |
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- es |
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- ca |
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license: apache-2.0 |
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tags: |
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- FLOR |
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- bloom |
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- spanish |
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- catalan |
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- english |
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datasets: |
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- teknium/OpenHermes-2.5 |
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pipeline_tag: text-generation |
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model-index: |
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- name: OpenHermes-2.5-FLOR-6.3B |
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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: 33.45 |
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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=xaviviro/OpenHermes-2.5-FLOR-6.3B |
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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: 54.53 |
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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=xaviviro/OpenHermes-2.5-FLOR-6.3B |
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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: 25.18 |
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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=xaviviro/OpenHermes-2.5-FLOR-6.3B |
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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: 46.12 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xaviviro/OpenHermes-2.5-FLOR-6.3B |
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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: 62.98 |
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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=xaviviro/OpenHermes-2.5-FLOR-6.3B |
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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: 0.0 |
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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=xaviviro/OpenHermes-2.5-FLOR-6.3B |
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name: Open LLM Leaderboard |
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--- |
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# OpenHermes-2.5-FLOR-6.3B |
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OpenHermes-2.5-FLOR-6.3B És el resultat de finetunejar el model [FLOR-6.3B](/projecte-aina/FLOR-6.3B) amb el fantàstic dataset [OpenHermes v2.5](/datasets/teknium/OpenHermes-2.5). |
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La millor manera d'usar **OpenHermes-2.5-FLOR-6.3B** és amb el format **ChatML** |
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## Quantitzats |
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Podeu trobar el model quantitzat i en format GGUF a [OpenHermes-2.5-FLOR-6.3B-GGUF](xaviviro/OpenHermes-2.5-FLOR-6.3B-GGUF) |
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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_xaviviro__OpenHermes-2.5-FLOR-6.3B) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |37.04| |
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|AI2 Reasoning Challenge (25-Shot)|33.45| |
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|HellaSwag (10-Shot) |54.53| |
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|MMLU (5-Shot) |25.18| |
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|TruthfulQA (0-shot) |46.12| |
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|Winogrande (5-shot) |62.98| |
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|GSM8k (5-shot) | 0.00| |
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