Image-Text-to-Text
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gemma3
any-to-any
medical
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pathology
dermatology
fundus
radiology report generation
chest-x-ray
medical-embeddings
image-classification
zero-shot-image-classification
image-feature-extraction
mlx-my-repo
conversational
text-generation-inference
8-bit precision
introvoyz041/medgemma-27b-it-8bit-mlx-4Bit
The Model introvoyz041/medgemma-27b-it-8bit-mlx-4Bit was converted to MLX format from mlx-community/medgemma-27b-it-8bit using mlx-lm version 0.28.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("introvoyz041/medgemma-27b-it-8bit-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 tree for introvoyz041/medgemma-27b-it-8bit-mlx-4Bit
Base model
google/gemma-3-27b-pt
Quantized
mlx-community/medgemma-27b-it-8bit