README.md

---
license: apache-2.0
datasets:
- bigcode/the-stack
- bigcode/the-stack-v2
- bigcode/starcoderdata
- bigcode/commitpack
library_name: transformers
tags:
- code
- mlx
- mlx-my-repo
base_model: JetBrains/Mellum-4b-sft-python
model-index:
- name: Mellum-4b-sft-python
  results:
  - task:
      type: text-generation
    dataset:
      name: RepoBench 1.1 (Python)
      type: tianyang/repobench_python_v1.1
    metrics:
    - type: exact_match
      value: 0.2837
      name: EM
      verified: false
    - type: exact_match
      value: 0.2987
      name: EM ≤ 8k
      verified: false
    - type: exact_match
      value: 0.2924
      name: EM
      verified: false
    - type: exact_match
      value: 0.306
      name: EM
      verified: false
    - type: exact_match
      value: 0.2977
      name: EM
      verified: false
    - type: exact_match
      value: 0.268
      name: EM
      verified: false
    - type: exact_match
      value: 0.2543
      name: EM
      verified: false
  - task:
      type: text-generation
    dataset:
      name: SAFIM
      type: gonglinyuan/safim
    metrics:
    - type: pass@1
      value: 0.4212
      name: pass@1
      verified: false
    - type: pass@1
      value: 0.3316
      name: pass@1
      verified: false
    - type: pass@1
      value: 0.3611
      name: pass@1
      verified: false
    - type: pass@1
      value: 0.571
      name: pass@1
      verified: false
  - task:
      type: text-generation
    dataset:
      name: HumanEval Infilling (Single-Line)
      type: loubnabnl/humaneval_infilling
    metrics:
    - type: pass@1
      value: 0.8045
      name: pass@1
      verified: false
    - type: pass@1
      value: 0.4819
      name: pass@1
      verified: false
    - type: pass@1
      value: 0.3768
      name: pass@1
      verified: false
---

# cnfusion/Mellum-4b-sft-python-mlx-8Bit

The Model [cnfusion/Mellum-4b-sft-python-mlx-8Bit](https://huggingface.co/cnfusion/Mellum-4b-sft-python-mlx-8Bit) was converted to MLX format from [JetBrains/Mellum-4b-sft-python](https://huggingface.co/JetBrains/Mellum-4b-sft-python) using mlx-lm version **0.22.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("cnfusion/Mellum-4b-sft-python-mlx-8Bit")

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)
```