Text Generation
MLX
Korean
bora_moe
korean
small-language-model
slm
on-device
ema
sparse-attention
mixture-of-experts
Mixture of Experts
Instructions to use dororodoroddo/BORA-1.1B-A0.4B-checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dororodoroddo/BORA-1.1B-A0.4B-checkpoint 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("dororodoroddo/BORA-1.1B-A0.4B-checkpoint") 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 dororodoroddo/BORA-1.1B-A0.4B-checkpoint with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "dororodoroddo/BORA-1.1B-A0.4B-checkpoint" --prompt "Once upon a time"
- Atomic Chat
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