Edit model card

NeuraLake-m7-v2-7B⚡

NeuraLake-m7-v2-7B is a merge of the following models using mergekit:

🛠️ Configuration

models:
  - model: mistralai/Mistral-7B-v0.1
    # No parameters necessary for base model
    
  - model: mlabonne/NeuralBeagle14-7B
    parameters:
      weight: 0.3
      density: 0.8
  - model: chargoddard/loyal-piano-m7
    parameters:
      weight: 0.4
      density: 0.8
  - model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo
    parameters:
      weight: 0.3
      density: 0.4
  - model: athirdpath/NSFW_DPO_vmgb-7b
    parameters:
      weight: 0.2
      density: 0.4
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  int8_mask: true
  # normalize: true
dtype: bfloat16
Downloads last month
24
Safetensors
Model size
7.24B params
Tensor type
BF16
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for Meggido/NeuraLake-m7-v2-7B

Quantizations
2 models

Collection including Meggido/NeuraLake-m7-v2-7B