---
base_model: Jackrong/Qwopus3.5-9B-Coder
tags:
- text-generation-inference
- transformers
- unsloth
- qwen3_5
- reasoning
- chain-of-thought
- lora
- sft
- agent
- tool-use
- function-calling
- coder
- mlx
- mlx-my-repo
license: apache-2.0
language:
- en
- zh
- es
- ru
- ja
pipeline_tag: image-text-to-text
datasets:
- lambda/hermes-agent-reasoning-traces
- Jackrong/Claude-opus-4.7-TraceInversion-5000x
- Jackrong/Claude-opus-4.6-TraceInversion-9000x
---

# Rishu11277/Qwopus3.5-9B-Coder-mlx-4Bit

The Model [Rishu11277/Qwopus3.5-9B-Coder-mlx-4Bit](https://huggingface.co/Rishu11277/Qwopus3.5-9B-Coder-mlx-4Bit) was converted to MLX format from [Jackrong/Qwopus3.5-9B-Coder](https://huggingface.co/Jackrong/Qwopus3.5-9B-Coder) 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("Rishu11277/Qwopus3.5-9B-Coder-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)
```