thr3a/RakutenAI-2.0-mini-instruct-Q8-mlx
The Model thr3a/RakutenAI-2.0-mini-instruct-Q8-mlx was converted to MLX format from Rakuten/RakutenAI-2.0-mini-instruct using mlx-lm version 0.20.5.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("thr3a/RakutenAI-2.0-mini-instruct-Q8-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)
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Model size
0.4B params
Tensor type
F16
·
U32 ·
Hardware compatibility
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8-bit
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Model tree for thr3a/RakutenAI-2.0-mini-instruct-Q8-mlx
Base model
Rakuten/RakutenAI-2.0-mini
Finetuned
Rakuten/RakutenAI-2.0-mini-instruct