mlx-community/dolphin-2.9.4-llama3.1-8b-4bit
The Model mlx-community/dolphin-2.9.4-llama3.1-8b-4bit was converted to MLX format from cognitivecomputations/dolphin-2.9.4-llama3.1-8b using mlx-lm version 0.19.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/dolphin-2.9.4-llama3.1-8b-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)
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Model tree for mlx-community/dolphin-2.9.4-llama3.1-8b-4bit
Base model
meta-llama/Llama-3.1-8B