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RichardErkhov/nlpguy_-_ColorShadow-7B-v3-gguf

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

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ColorShadow-7B-v3 - GGUF

  • —Model creator: https://huggingface.co/nlpguy/
  • —Original model: https://huggingface.co/nlpguy/ColorShadow-7B-v3/

Original model description: --- license: apache-2.0 tags:

  • —merge model-index:
  • —name: ColorShadow-7B-v3 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: 67.58 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllm_leaderboard?query=nlpguy/ColorShadow-7B-v3 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: 85.04 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllm_leaderboard?query=nlpguy/ColorShadow-7B-v3 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: 60.57 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=nlpguy/ColorShadow-7B-v3 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: 62.88 source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=nlpguy/ColorShadow-7B-v3 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: 80.11 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=nlpguy/ColorShadow-7B-v3 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: 47.54 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=nlpguy/ColorShadow-7B-v3 name: Open LLM Leaderboard ---

ColorShadow-7B-v3

This is a Gradient-SLERP merge between ColorShadow-7B and Terminis-7B performed using mergekit.

Here is the config file used:

slices:
  - sources:
      - model: nlpguy/ColorShadow-7B
        layer_range: [0, 32]
      - model: Q-bert/Terminis-7B
        layer_range: [0, 32]
merge_method: slerp
base_model: nlpguy/ColorShadow-7B
parameters:
  t:
    - filter: self_attn
      value: [1, 0.5, 0.7, 0.3, 0]
    - filter: mlp
      value: [0, 0.5, 0.3, 0.7, 1]
    - value: 0.5 # fallback for rest of tensors
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

MetricValue
Avg.67.29
AI2 Reasoning Challenge (25-Shot)67.58
HellaSwag (10-Shot)85.04
MMLU (5-Shot)60.57
TruthfulQA (0-shot)62.88
Winogrande (5-shot)80.11
GSM8k (5-shot)47.54