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---
license: apache-2.0
pipeline_tag: text-generation
language:
- en
- he
tags:
- pretrained
- mlx
- mlx-my-repo
inference:
parameters:
temperature: 0.6
base_model: dicta-il/DictaLM-3.0-1.7B-Instruct
---
# ssdataanalysis/DictaLM-3.0-1.7B-Instruct-mlx-8Bit
The Model [ssdataanalysis/DictaLM-3.0-1.7B-Instruct-mlx-8Bit](https://huggingface.co/ssdataanalysis/DictaLM-3.0-1.7B-Instruct-mlx-8Bit) was converted to MLX format from [dicta-il/DictaLM-3.0-1.7B-Instruct](https://huggingface.co/dicta-il/DictaLM-3.0-1.7B-Instruct) using mlx-lm version **0.29.1**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("ssdataanalysis/DictaLM-3.0-1.7B-Instruct-mlx-8Bit")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
```
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