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---
library_name: transformers
model_name: Vikhrmodels/QVikhr-2.5-1.5B-Instruct-r
base_model: Vikhrmodels/QVikhr-2.5-1.5B-Instruct-r
language:
- ru
- en
license: apache-2.0
datasets:
- Vikhrmodels/russian_math
- openai/gsm8k
tags:
- mlx
---
# Vikhrmodels/QVikhr-2.5-1.5B-Instruct-r_MLX-8bit
The Model [Vikhrmodels/QVikhr-2.5-1.5B-Instruct-r_MLX-8bit](https://huggingface.co/Vikhrmodels/QVikhr-2.5-1.5B-Instruct-r_MLX-8bit) was
converted to MLX format from [Vikhrmodels/QVikhr-2.5-1.5B-Instruct-r](https://huggingface.co/Vikhrmodels/QVikhr-2.5-1.5B-Instruct-r)
using mlx-lm version **0.21.4**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("Vikhrmodels/QVikhr-2.5-1.5B-Instruct-r_MLX-8bit")
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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