metadata
license: apache-2.0
base_model: dphn/Dolphin-Mistral-24B-Venice-Edition
pipeline_tag: text-generation
library_name: transformers
tags:
- mlx
Hunor64/Dolphin-Mistral-24B-Venice-Edition-mlx-3Bit
The Model Hunor64/Dolphin-Mistral-24B-Venice-Edition-mlx-3Bit was converted to MLX format from dphn/Dolphin-Mistral-24B-Venice-Edition using mlx-lm version 0.26.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Hunor64/Dolphin-Mistral-24B-Venice-Edition-mlx-3Bit")
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)