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NeuralPipe-7B-ties

This model is a merge of the following models made with mergekit:

âš¡ Quantized models

Thanks to TheBloke for the quantized models:

🧩 Configuration

models:
  - model: mistralai/Mistral-7B-v0.1
    # no parameters necessary for base model
  - model: OpenPipe/mistral-ft-optimized-1218
    parameters:
      density: 0.5
      weight: 0.5
  - model: mlabonne/NeuralHermes-2.5-Mistral-7B
    parameters:
      density: 0.5
      weight: 0.3
merge_method: ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 71.55
AI2 Reasoning Challenge (25-Shot) 67.92
HellaSwag (10-Shot) 86.04
MMLU (5-Shot) 64.24
TruthfulQA (0-shot) 61.37
Winogrande (5-shot) 80.19
GSM8k (5-shot) 69.52
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Model size
7.24B params
Tensor type
FP16
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Evaluation results