README.md

---
license: apache-2.0
library_name: transformers
language:
- en
- zh
pipeline_tag: text-generation
base_model: sthenno-com/miscii-14b-1028
tags:
- chat
- conversational
- custom-research
- mlx
model-index:
- name: miscii-14b-1028
  results:
  - task:
      type: text-generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: exact-match
      value: 0.6143
      name: exact_match
---

# mlx-community/miscii-14b-1028-4bit

The Model [mlx-community/miscii-14b-1028-4bit](https://huggingface.co/mlx-community/miscii-14b-1028-4bit) was converted to MLX format from [sthenno-com/miscii-14b-1028](https://huggingface.co/sthenno-com/miscii-14b-1028) using mlx-lm version **0.19.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/miscii-14b-1028-4bit")

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)
```