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Ba2han_-_Llama-Phi-3_DoRA-8bits – AI Model by RichardErkhov | AlphaNeural AI
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Llama-Phi-3_DoRA - bnb 8bits
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: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics:
type: acc_norm value: 62.29 name: normalized accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/Llama-Phi-3_DoRA
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: 79.08 name: normalized accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/Llama-Phi-3_DoRA
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: 69.44 name: accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/Llama-Phi-3_DoRA
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: 54.08 source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?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: winogrande_xl split: validation args: num_few_shot: 5 metrics:
type: acc value: 73.4 name: accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?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: num_few_shot: 5 metrics:
type: acc value: 68.01 name: accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?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.
image/png
Open LLM Leaderboard Evaluation Results
Detailed results can be found
here
Metric
Value
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