---
license: apache-2.0
base_model: AliesTaha/fable-traces
language:
- en
pipeline_tag: text-generation
library_name: transformers
tags:
- qwen3
- instruct
- conversational
- egypt-won
- mlx
- mlx-my-repo
---

# CHIRANJEEVICHETAN/fable-traces-mlx-4Bit

The Model [CHIRANJEEVICHETAN/fable-traces-mlx-4Bit](https://huggingface.co/CHIRANJEEVICHETAN/fable-traces-mlx-4Bit) was converted to MLX format from [AliesTaha/fable-traces](https://huggingface.co/AliesTaha/fable-traces) using mlx-lm version **0.31.2**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("CHIRANJEEVICHETAN/fable-traces-mlx-4Bit")

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)
```