qurk41/GRM-2.6-Plus-mlx-4Bit
The Model qurk41/GRM-2.6-Plus-mlx-4Bit was converted to MLX format from OrionLLM/GRM-2.6-Plus using mlx-lm version 0.31.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("qurk41/GRM-2.6-Plus-mlx-4Bit")
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
27B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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4-bit
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("qurk41/GRM-2.6-Plus-mlx-4Bit") config = load_config("qurk41/GRM-2.6-Plus-mlx-4Bit") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output)