Downloads · 30 days
28
2% of all-time downloads
Greenzz2345/dolphin-2.9-llama3-8b-4bit-mlx-4Bit
dolphin-2.9-llama3-8b-4bit-mlx-4Bit is a machine learning model from Greenzz2345. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as other.
The Model Greenzz2345/dolphin-2.9-llama3-8b-4bit-mlx-4Bit was converted to MLX format from 3thn/dolphin-2.9-llama3-8b-4bit using mlx-lm version 0.29.1.
Downloads · 30 days
28
2% of all-time downloads
All-time downloads
1.7K
Public
Parameters
8B
4.5 GB on disk
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0
Public
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.safetensors4.5 GB · 100%
How the weights are stored.
U328B · 100%
From the Hugging Face model README
The Model Greenzz2345/dolphin-2.9-llama3-8b-4bit-mlx-4Bit was converted to MLX format from 3thn/dolphin-2.9-llama3-8b-4bit using mlx-lm version 0.29.1.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Greenzz2345/dolphin-2.9-llama3-8b-4bit-mlx-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)