raufrajar/gemma-2-2b-it-8bit
The Model raufrajar/gemma-2-2b-it-8bit was converted to MLX format from google/gemma-2-2b-it using mlx-lm version 0.21.0.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("raufrajar/gemma-2-2b-it-8bit")
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)
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Model size
0.7B params
Tensor type
F16
·
U32
·
Hardware compatibility
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8-bit