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---
license: apache-2.0
datasets:
- Azure99/blossom-v6.1-sft-stage1
- Azure99/blossom-v6.1-sft-stage2
language:
- zh
- en
base_model: Azure99/Blossom-V6.1-8b
tags:
- mlx
library_name: mlx
pipeline_tag: text-generation
---
# Blossom-V6.1-8b-dwq4-mlx
This model [Blossom-V6.1-8b-dwq4-mlx](https://huggingface.co/Blossom-V6.1-8b-dwq4-mlx) was
converted to MLX format from [Azure99/Blossom-V6.1-8b](https://huggingface.co/Azure99/Blossom-V6.1-8b)
using mlx-lm version **0.26.0**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("Blossom-V6.1-8b-dwq4-mlx")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
```
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