Downloads · 30 days
16
11% of all-time downloads
janboe91/Negative_LLAMA_70B-Q4-mlx
Negative_LLAMA_70B-Q4-mlx is a machine learning model from janboe91. 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 llama3.3.
The Model janboe91/NegativeLLAMA70B-Q4-mlx was converted to MLX format from SicariusSicariiStuff/NegativeLLAMA70B using mlx-lm version 0.20.5.
Downloads · 30 days
16
11% of all-time downloads
All-time downloads
142
Public
Parameters
70.6B
39.7 GB on disk
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Public
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.safetensors39.7 GB · 100%
How the weights are stored.
U3270.6B · 100%
From the Hugging Face model README
The Model janboe91/Negative_LLAMA_70B-Q4-mlx was converted to MLX format from SicariusSicariiStuff/Negative_LLAMA_70B using mlx-lm version 0.20.5.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("janboe91/Negative_LLAMA_70B-Q4-mlx")
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)