mlx-quants
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I have never used Apple products • 17 items • Updated
MuXodious/Rocinante-XL-16B-v1-absolute-heresy-mlx-MXFP8
This model MuXodious/Rocinante-XL-16B-v1-absolute-heresy-mlx-MXFP8 was converted to MLX format from MuXodious/Rocinante-XL-16B-v1-absolute-heresy using mlx-lm version 0.31.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("MuXodious/Rocinante-XL-16B-v1-absolute-heresy-mlx-MXFP8")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
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Model size
16B params
Tensor type
U8
·
U32 ·
BF16 ·
Hardware compatibility
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8-bit
Model tree for MuXodious/Rocinante-XL-16B-v1-absolute-heresy-mlx-MXFP8
Base model
TheDrummer/Rocinante-XL-16B-v1
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("MuXodious/Rocinante-XL-16B-v1-absolute-heresy-mlx-MXFP8") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True)