guprab/latentscore-gemma3-270m-v5-mlx-4bit
This model guprab/latentscore-gemma3-270m-v5-mlx-4bit was converted to MLX format from guprab/latentscore-gemma3-270m-v5-merged using mlx-lm version 0.29.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("guprab/latentscore-gemma3-270m-v5-mlx-4bit")
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
41.9M params
Tensor type
F32
·
U32 ·
Hardware compatibility
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4-bit
Model tree for guprab/latentscore-gemma3-270m-v5-mlx-4bit
Base model
google/gemma-3-270m Finetuned
google/gemma-3-270m-it Finetuned
unsloth/gemma-3-270m-it Finetuned
guprab/latentscore-gemma3-270m-v5-merged