Instructions to use masahiroid/pyrite-stream with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use masahiroid/pyrite-stream 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("masahiroid/pyrite-stream") 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 masahiroid/pyrite-stream with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "masahiroid/pyrite-stream" --prompt "Once upon a time"
- Atomic Chat
Commit History
Yesterday
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docs: add official Zenodo DOI 10.5281/zenodo.23811995 and recompiled paper PDFs
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docs: add Japanese version of Phase 2 paper
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docs: add YAML tags metadata
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Release Project Pyrite Phase 2: MoE-Stream Engine with Mixtral-8x22B & DeepSeek support
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initial commit
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