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---
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
---
[](https://hf.co/QuantFactory)
# 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](https://huggingface.co/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](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [Qwen/Qwen2.5-Coder-7B](https://huggingface.co/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](https://huggingface.co/huihui-ai/Qwen2.5-Coder-7B-Instruct-abliterated)
* [Etherll/Qwen2.5-Coder-7B-Instruct-Ties](https://huggingface.co/Etherll/Qwen2.5-Coder-7B-Instruct-Ties)
* [MadeAgents/Hammer2.0-7b](https://huggingface.co/MadeAgents/Hammer2.0-7b)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
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
```
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