README.md

metadata

base_model:
  - Qwen/Qwen2.5-Coder-7B
  - huihui-ai/Qwen2.5-Coder-7B-Instruct-abliterated
  - Etherll/Qwen2.5-Coder-7B-Instruct-Ties
  - MadeAgents/Hammer2.0-7b
library_name: transformers
tags:
  - mergekit
  - merge

QuantFactory/Qwen2.5-Coder-7B-3x-Instruct-TIES-v1.0-GGUF

This is quantized version of BenevolenceMessiah/Qwen2.5-Coder-7B-3x-Instruct-TIES-v1.0 created using llama.cpp

Original Model Card

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the TIES merge method using Qwen/Qwen2.5-Coder-7B as a base.

Models Merged

The following models were included in the merge:

• huihui-ai/Qwen2.5-Coder-7B-Instruct-abliterated
• Etherll/Qwen2.5-Coder-7B-Instruct-Ties
• MadeAgents/Hammer2.0-7b

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: huihui-ai/Qwen2.5-Coder-7B-Instruct-abliterated
    architecture: qwen2
    parameters:
      density: 1.0
      weight: 1.0
  - model: MadeAgents/Hammer2.0-7b
    architecture: qwen2
    parameters:
      density: 1.0
      weight: 1.0
  - model: Etherll/Qwen2.5-Coder-7B-Instruct-Ties
    architecture: qwen2
    parameters:
      density: 1.0
      weight: 1.0

merge_method: ties
base_model: Qwen/Qwen2.5-Coder-7B
parameters:
  normalize: true
  int8_mask: false
dtype: bfloat16
tokenizer_source: union