---
license: apache-2.0
datasets:
- Fortytwo-Network/Strandset-Rust-v1
base_model: Fortytwo-Network/Strand-Rust-Coder-14B-v1
pipeline_tag: text-generation
library_name: transformers
tags:
- mlx
---

# afimin/Strand-Rust-Coder-14B-v1-mlx-fp16

The Model [afimin/Strand-Rust-Coder-14B-v1-mlx-fp16](https://huggingface.co/afimin/Strand-Rust-Coder-14B-v1-mlx-fp16) was converted to MLX format from [Fortytwo-Network/Strand-Rust-Coder-14B-v1](https://huggingface.co/Fortytwo-Network/Strand-Rust-Coder-14B-v1) 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("afimin/Strand-Rust-Coder-14B-v1-mlx-fp16")

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)
```