eren23_-_DistilHermes-2.5-Mistral-7B-8bits

Quantization made by Richard Erkhov.

Github

Discord

Request more models

DistilHermes-2.5-Mistral-7B - bnb 8bits

• Model creator: https://huggingface.co/eren23/
• Original model: https://huggingface.co/eren23/DistilHermes-2.5-Mistral-7B/

Original model description:

language:

• en license: apache-2.0 library_name: transformers datasets:
• argilla/distilabel-intel-orca-dpo-pairs pipeline_tag: question-answering model-index:
• name: DistilHermes-2.5-Mistral-7B 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: 65.87 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/DistilHermes-2.5-Mistral-7B 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: 84.78 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/DistilHermes-2.5-Mistral-7B 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: 63.65 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/DistilHermes-2.5-Mistral-7B 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: 54.24 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/DistilHermes-2.5-Mistral-7B 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: 78.22 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/DistilHermes-2.5-Mistral-7B 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: 59.82 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/DistilHermes-2.5-Mistral-7B name: Open LLM Leaderboard

---

DPO Finetuned teknium/OpenHermes-2.5-Mistral-7B using argilla/distilabel-intel-orca-dpo-pairs.

Intel orca dpo pairs is a distilled version: https://huggingface.co/datasets/argilla/distilabel-intel-orca-dpo-pairs

of https://huggingface.co/datasets/Intel/orca_dpo_pairs

Open LLM Leaderboard Evaluation Results

Detailed results can be found here