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Qwen2.5-7B-Instruct-Math-Code-dare-linear
nthehai01/Qwen2.5-7B-Instruct-Math-Code-dare-linear
Qwen2.5-7B-Instruct-Math-Code-dare-linear is a text generation model from nthehai01. Use it when you need the model to write or continue text. It is set up for transformers.
This is a merge of pre-trained language models created using mergekit.
All-time downloads
442
Public
Parameters
7.6B
15.2 GB on disk
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0
Public
Repo makeup
Click a slice to open those files.
.safetensors15.2 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- qwen2
- Access
- Public
- Created
- Mar 6, 2025
- Updated
- Apr 28, 2025
- SHA
- e1de08e9
Base models
Model card
From the Hugging Face model README
nthehai01/Qwen2.5-7B-Instruct-Math-Code-dare-linear
This is a merge of pre-trained language models created using mergekit.
Performance
| Metric | Value |
|---|---|
| GSM8k (zero-shot) | 87.79 |
| HellaSwag (zero-Shot) | 34.29 |
| MBPP (zero-shot) | 60.41 |
Merge Details
Merge Method
This model was merged using the Linear DARE merge method using Qwen/Qwen2.5-7B as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
base_model: Qwen/Qwen2.5-7B
dtype: bfloat16
merge_method: dare_linear
parameters:
lambda: 0.690661354021995
normalize: 1.0
slices:
- sources:
- layer_range: [0, 28]
model: Qwen/Qwen2.5-7B
- layer_range: [0, 28]
model: Qwen/Qwen2.5-Math-7B
parameters:
density: 0.9593725853706829
weight: 0.11472446469404357
- layer_range: [0, 28]
model: Qwen/Qwen2.5-Coder-7B
parameters:
density: 0.768281938201547
weight: 0.11350094855547865
- layer_range: [0, 28]
model: Qwen/Qwen2.5-7B-Instruct
parameters:
density: 0.48528478746069637
weight: 0.6453505470133651
- Task
- Text Generation
- Library
- transformers
- Type
- qwen2
- Languages
- zho, eng, fra, spa, por, deu
- Created
- Mar 6, 2025
- Updated
- Apr 28, 2025