Text Generation
MLX
English
sparse-attention
qwen3
custom-code
indexer
experimental
prefill
efficiency
apple-silicon
Instructions to use rp440/Qwen3-8b-DSA-index with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use rp440/Qwen3-8b-DSA-index 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("rp440/Qwen3-8b-DSA-index") 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 rp440/Qwen3-8b-DSA-index with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "rp440/Qwen3-8b-DSA-index" --prompt "Once upon a time"
- Xet hash:
- ecc348dd101a3cf728c770282219292ee0c4185382f7395f2fa50552e3e6c7f4
- Size of remote file:
- 289 MB
- SHA256:
- 3d7ef444663a961f2b623a37753a6f5700d24f125cdc2afe63a3737619cb82aa
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