• Model creator: https://huggingface.co/Nitral-AI/
• Original model: https://huggingface.co/Nitral-AI/Hathor_Stable-v0.2-L3-8B/

Original model description:

• en license: other model-index:
• name: Hathor_Stable-v0.2-L3-8B results:
  • task: type: text-generation name: Text Generation dataset: name: IFEval (0-Shot) type: HuggingFaceH4/ifeval args: num_few_shot: 0 metrics:
    • type: inst_level_strict_acc and prompt_level_strict_acc value: 71.75 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nitral-AI/Hathor_Stable-v0.2-L3-8B name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: BBH (3-Shot) type: BBH args: num_few_shot: 3 metrics:
    • type: acc_norm value: 32.83 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nitral-AI/Hathor_Stable-v0.2-L3-8B name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: MATH Lvl 5 (4-Shot) type: hendrycks/competition_math args: num_few_shot: 4 metrics:
    • type: exact_match value: 9.21 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nitral-AI/Hathor_Stable-v0.2-L3-8B name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: GPQA (0-shot) type: Idavidrein/gpqa args: num_few_shot: 0 metrics:
    • type: acc_norm value: 4.92 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nitral-AI/Hathor_Stable-v0.2-L3-8B name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: MuSR (0-shot) type: TAUR-Lab/MuSR args: num_few_shot: 0 metrics:
    • type: acc_norm value: 5.56 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nitral-AI/Hathor_Stable-v0.2-L3-8B name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: MMLU-PRO (5-shot) type: TIGER-Lab/MMLU-Pro config: main split: test args: num_few_shot: 5 metrics:
    • type: acc value: 29.96 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nitral-AI/Hathor_Stable-v0.2-L3-8B name: Open LLM Leaderboard

Quants From Bartowski <3: https://huggingface.co/bartowski/Hathor-L3-8B-v.02-GGUF https://huggingface.co/bartowski/Hathor-L3-8B-v.02-exl2

Notes: Hathor is trained on 3 epochs of private data, synthetic opus instructions, a mix of light/classical novel data, roleplaying chat pairs over llama 3 8B instruct. (expanded)

Open LLM Leaderboard Evaluation Results