---
base_model: EpistemeAI/VCoder-120b-1.0
tags:
- text-generation-inference
- transformers
- unsloth
- gpt_oss
- mlx
license: apache-2.0
language:
- en
datasets:
- EpistemeAI/vibe-coder-part-debug
library_name: mlx
pipeline_tag: text-generation
---

# VCoder-120b-1.0-q8-hi-mlx

Uploaded for testing, get it while it's hot

Good coding model: if it gets 2 likes, it stays in catalog. Was hoping for 5, just 2 would do.


-G

This model [VCoder-120b-1.0-q8-hi-mlx](https://huggingface.co/VCoder-120b-1.0-q8-hi-mlx) was
converted to MLX format from [EpistemeAI/VCoder-120b-1.0](https://huggingface.co/EpistemeAI/VCoder-120b-1.0)
using mlx-lm version **0.28.4**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("VCoder-120b-1.0-q8-hi-mlx")

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)
```