Text Generation
MLX
English
lora
adapters
gemma4
reasoning
sft
opus
claude-code
chain-of-thought
tool-use
ravenx
apple-silicon
turboquant
kv-cache-compression
long-context
Instructions to use deadbydawn101/gemma-4-E4B-opus-reasoning-claude-code-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use deadbydawn101/gemma-4-E4B-opus-reasoning-claude-code-lora 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("deadbydawn101/gemma-4-E4B-opus-reasoning-claude-code-lora") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- MLX LM
How to use deadbydawn101/gemma-4-E4B-opus-reasoning-claude-code-lora with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "deadbydawn101/gemma-4-E4B-opus-reasoning-claude-code-lora" --prompt "Once upon a time"
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