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RichardErkhov/Ba2han_-_Llama-Phi-3_DoRA-gguf

sourceHugging Faceupdated 2y agoView on Hugging Face
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Quantization made by Richard Erkhov.

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Llama-Phi-3_DoRA - GGUF

  • —Model creator: https://huggingface.co/Ba2han/
  • —Original model: https://huggingface.co/Ba2han/Llama-Phi-3_DoRA/

Original model description: --- language:

  • —en license: mit datasets:
  • —Sao10K/Claude-3-Opus-Instruct-15K
  • —abacusai/SystemChat-1.1
  • —Ba2han/DollyLlama-5k model-index:
  • —name: Llama-Phi-3_DoRA results:
  • —task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2arc config: ARC-Challenge split: test args: numfew_shot: 25 metrics:
  • —type: accnorm value: 62.29 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Ba2han/Llama-Phi-3DoRA name: Open LLM Leaderboard
  • —task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: numfewshot: 10 metrics:
  • —type: accnorm value: 79.08 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Ba2han/Llama-Phi-3DoRA name: Open LLM Leaderboard
  • —task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: numfewshot: 5 metrics:
  • —type: acc value: 69.44 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Ba2han/Llama-Phi-3_DoRA name: Open LLM Leaderboard
  • —task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthfulqa config: multiplechoice split: validation args: numfewshot: 0 metrics:
  • —type: mc2 value: 54.08 source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Ba2han/Llama-Phi-3_DoRA name: Open LLM Leaderboard
  • —task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winograndexl split: validation args: numfew_shot: 5 metrics:
  • —type: acc value: 73.4 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Ba2han/Llama-Phi-3_DoRA name: Open LLM Leaderboard
  • —task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: numfewshot: 5 metrics:
  • —type: acc value: 68.01 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Ba2han/Llama-Phi-3_DoRA name: Open LLM Leaderboard ---

We have Llama-3 at home!

Highest PHI-3-Mini MMLU and Winogrande on the board!

The model has been trained on filtered versions of tagged datasets, as well as a few thousand more examples generated with llama-3-70B.

Use Zephyr template with any system message. Default system message should be:

You are a smart, friendly and helpful assistant.

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Open LLM Leaderboard Evaluation Results

Detailed results can be found here

MetricValue
Avg.67.72
AI2 Reasoning Challenge (25-Shot)62.29
HellaSwag (10-Shot)79.08
MMLU (5-Shot)69.44
TruthfulQA (0-shot)54.08
Winogrande (5-shot)73.40
GSM8k (5-shot)68.01