🤖 any-to-any

gemma-4-E2B-it-MLX-4bit

lmstudio-community/gemma-4-E2B-it-MLX-4bit

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transformers
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Model Details
Full Model IDlmstudio-community/gemma-4-E2B-it-MLX-4bit
Pipeline / Taskany-to-any
Librarytransformers
Downloads (all-time)87.6K
Likes0
Last Modified4/10/2026
Author / Orglmstudio-community
PrivateNo — public
⚡ Quick Usage (Python)

Using the 🤗 Transformers library. Install with pip install transformers

from transformers import pipeline

# Load the model
pipe = pipeline("any-to-any", model="lmstudio-community/gemma-4-E2B-it-MLX-4bit")

# Run inference
result = pipe("Your input here")
print(result)
🏷️ Tags
transformerssafetensorsgemma4image-text-to-textmlxany-to-anybase_model:google/gemma-4-E2B-itbase_model:quantized:google/gemma-4-E2B-itlicense:apache-2.0endpoints_compatible4-bitregion:us
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🚀 Use This Model

Access model files, inference API, and full documentation on Hugging Face.

Open on Hugging Face →Browse Model Files ↗← Browse All Models
🤖 Task: any-to-any

This model is designed for the any-to-any task. Explore more models for this use case.

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📊 Popularity
Downloads87.6K
❤️ Community Likes0
🛠️ Requirements
  • Install: pip install transformers
  • Python 3.8+ recommended for Transformers.
  • GPU (CUDA) speeds up inference significantly.
  • Use model.half() for fp16 on limited VRAM.
👋 Need help with code?