RichardErkhov/acrastt_-_Bean-3B-8bits

Quantization made by Richard Erkhov.

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Bean-3B - bnb 8bits

• Model creator: https://huggingface.co/acrastt/
• Original model: https://huggingface.co/acrastt/Bean-3B/

Original model description:

language: - en license: apache-2.0 library_name: transformers datasets: - 64bits/lima_vicuna_format pipeline_tag: text-generation model-index: - name: Bean-3B 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: 40.36 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Bean-3B 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: 72.0 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Bean-3B 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: 26.43 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Bean-3B 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: 36.11 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Bean-3B 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: 65.67 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Bean-3B 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: 0.53 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Bean-3B name: Open LLM Leaderboard

This is OpenLLaMA 3B V2 finetuned on LIMA(ShareGPT format) for 2 epochs.

Prompt template:

### HUMAN:
{prompt}

### RESPONSE:
<leave a newline for the model to answer>

GGUF quantizations available here.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	40.18
ARC (25-shot)	40.36
HellaSwag (10-shot)	72.0
MMLU (5-shot)	26.43
TruthfulQA (0-shot)	36.11
Winogrande (5-shot)	65.67
GSM8K (5-shot)	0.53

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	40.18
AI2 Reasoning Challenge (25-Shot)	40.36
HellaSwag (10-Shot)	72.00
MMLU (5-Shot)	26.43
TruthfulQA (0-shot)	36.11
Winogrande (5-shot)	65.67
GSM8k (5-shot)	0.53