NeuralPipe-7B-ties

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

• OpenPipe/mistral-ft-optimized-1218
• mlabonne/NeuralHermes-2.5-Mistral-7B

⚡ Quantized models

Thanks to TheBloke for the quantized models:

• GGUF: https://huggingface.co/TheBloke/NeuralPipe-7B-ties-GGUF
• AWQ: https://huggingface.co/TheBloke/NeuralPipe-7B-ties-AWQ
• GPTQ: https://huggingface.co/TheBloke/NeuralPipe-7B-ties-GPTQ

🧩 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