Text Generation
MLX
Safetensors
ethics
alignment
lek
lethean
lora
eupl-1.2
gemma-3
scale-study
benchmark-leader
Instructions to use LetheanNetwork/LEK-Gemma3-27B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use LetheanNetwork/LEK-Gemma3-27B 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("LetheanNetwork/LEK-Gemma3-27B") 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 LetheanNetwork/LEK-Gemma3-27B with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "LetheanNetwork/LEK-Gemma3-27B" --prompt "Once upon a time"