
# marcel/phi-2-openhermes-30k
This model was converted to MLX format from [`microsoft/phi-2`]().
Refer to the [original model card](https://huggingface.co/microsoft/phi-2) for more details on the model.
## Use with mlx
```bash
pip install mlx
git clone https://github.com/ml-explore/mlx-examples.git
cd mlx-examples/llms/hf_llm
python generate.py --model marcel/phi-2-openhermes-30k --prompt "My name is"
```

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained(
    "marcel/phi-2-openhermes-30k",
    low_cpu_mem_usage=True,
    device_map="auto",
    trust_remote_code=True,
    torch_dtype=torch.float16,
)
tokenizer = AutoTokenizer.from_pretrained("phi-2-openhermes-30k")

input_text = "### Human: Give me a good recipe for a chinese dish\n\n### Assistant:"

outputs = model.generate(
    tokenizer(input_text, return_tensors="pt").to(model.device)['input_ids'],
    max_length=1024,
    temperature=0.7,
    top_p=0.9,
    do_sample=True,
    pad_token_id=tokenizer.pad_token_id,
    eos_token_id=tokenizer.eos_token_id,
)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```

{"language": ["en"], "license": "mit", "tags": ["nlp", "code", "mlx"], "datasets": ["teknium/openhermes"], "license_link": "https://huggingface.co/microsoft/phi-2/resolve/main/LICENSE", "pipeline_tag": "text-generation"}
mlx safetensors phi nlp code text-generation custom_code en dataset:teknium/openhermes license:mit region:us