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---
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)
```
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