RichardErkhov/Walmart-the-bag_-_Misted-7B-8bits

Quantization made by Richard Erkhov.

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Misted-7B - bnb 8bits

• Model creator: https://huggingface.co/Walmart-the-bag/
• Original model: https://huggingface.co/Walmart-the-bag/Misted-7B/

Original model description:

language: - en license: apache-2.0 pipeline_tag: text-generation model-index: - name: Misted-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: 63.65 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Walmart-the-bag/Misted-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: 84.14 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Walmart-the-bag/Misted-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: 63.94 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Walmart-the-bag/Misted-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: 52.0 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Walmart-the-bag/Misted-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: 78.3 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Walmart-the-bag/Misted-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: 59.59 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Walmart-the-bag/Misted-7B name: Open LLM Leaderboard

Model Yaml

base_model: teknium/OpenHermes-2-Mistral-7B
models:
      - model: teknium/OpenHermes-2-Mistral-7B
      - model: Open-Orca/Mistral-7B-SlimOrca
merge_method: slerp
parameters:
  t:
    - value: 0.32
dtype: float16

Prompt Format

Alpaca

### Instruction:

### Response: 

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	66.94
AI2 Reasoning Challenge (25-Shot)	63.65
HellaSwag (10-Shot)	84.14
MMLU (5-Shot)	63.94
TruthfulQA (0-shot)	52.00
Winogrande (5-shot)	78.30
GSM8k (5-shot)	59.59