How to use from the
Use from the
MLX library
# 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("ipetrukha/OpenCodeInterpreter-DS-6.7B-4bit")

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)

ipetrukha/OpenCodeInterpreter-DS-6.7B-4bit

The Model ipetrukha/OpenCodeInterpreter-DS-6.7B-4bit was converted to MLX format from m-a-p/OpenCodeInterpreter-DS-6.7B using mlx-lm version 0.16.1.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("ipetrukha/OpenCodeInterpreter-DS-6.7B-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
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Model size
1B params
Tensor type
F16
·
U32
·
MLX
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