TheBlueObserver/OpenHermes-2.5-Mistral-7B-MLX-196c8

The Model TheBlueObserver/OpenHermes-2.5-Mistral-7B-MLX-196c8 was converted to MLX format from teknium/OpenHermes-2.5-Mistral-7B using mlx-lm version 0.20.2.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("TheBlueObserver/OpenHermes-2.5-Mistral-7B-MLX-196c8")

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)
Downloads last month
4
Safetensors
Model size
1.13B params
Tensor type
FP16
·
U32
·
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for TheBlueObserver/OpenHermes-2.5-Mistral-7B-MLX-196c8

Quantized
(41)
this model

Dataset used to train TheBlueObserver/OpenHermes-2.5-Mistral-7B-MLX-196c8