---
library_name: transformers
metrics:
- code_eval
tags:
- code
- mlx
model-index:
- name: WizardCoder
  results:
  - task:
      type: text-generation
    dataset:
      name: HumanEval
      type: openai_humaneval
    metrics:
    - type: pass@1
      value: 0.799
      name: pass@1
      verified: false
---

# ipetrukha/WizardCoder-33B-V1.1-4bit

The Model [ipetrukha/WizardCoder-33B-V1.1-4bit](https://huggingface.co/ipetrukha/WizardCoder-33B-V1.1-4bit) was converted to MLX format from [WizardLMTeam/WizardCoder-33B-V1.1](https://huggingface.co/WizardLMTeam/WizardCoder-33B-V1.1) using mlx-lm version **0.16.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("ipetrukha/WizardCoder-33B-V1.1-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```