Runs On My 16GB Mac
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8 items
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Updated
Trained on 66 samples, group_size 32, last avg loss 0.1463, final loss 0.0813
This model granite-3.3-8b-instruct-dwq6-mlx was converted to MLX format from ibm-granite/granite-3.3-8b-instruct using mlx-lm version 0.26.0.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("granite-3.3-8b-instruct-dwq6-mlx")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
Base model
ibm-granite/granite-3.3-8b-base