Instructions to use huseyincavus/gemma-3-270m-4bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use huseyincavus/gemma-3-270m-4bit-mlx with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("huseyincavus/gemma-3-270m-4bit-mlx") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use huseyincavus/gemma-3-270m-4bit-mlx with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "huseyincavus/gemma-3-270m-4bit-mlx" --prompt "Once upon a time"
- Atomic Chat
Add files using upload-large-folder tool
Browse files
README.md
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language: en
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tags:
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- mlx
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pipeline_tag: text-generation
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library_name: mlx
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# huseyincavus/gemma-3-270m-4bit-mlx
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language: en
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tags:
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- mlx
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library_name: mlx
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pipeline_tag: text-generation
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---
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# huseyincavus/gemma-3-270m-4bit-mlx
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