oxbitnet 0.4.0

Run BitNet b1.58 ternary LLMs with wgpu

oxbitnet

Run BitNet b1.58 ternary LLMs with GPU acceleration (wgpu).

Python bindings for 0xBitNet — also available as 0xbitnet (npm) and oxbitnet (Rust).

Install

pip install oxbitnet

Quick Start

from oxbitnet import BitNet

model = BitNet.load_sync("model.gguf")

# Chat with streaming output
model.chat(
    [("system", "You are a helpful assistant."), ("user", "Hello!")],
    on_token=lambda t: print(t, end="", flush=True),
    temperature=0.7,
    top_k=40,
)

model.dispose()

API

Method	Description
BitNet.load_sync(source)	Load a GGUF model from URL or path
model.chat(messages, on_token, ...)	Chat with template + streaming callback
model.generate(prompt, on_token, ...)	Generate with streaming callback
model.generate_sync(prompt, ...)	Generate, return full string
model.generate_tokens_sync(prompt, ...)	Generate, return list of token strings
model.dispose()	Release GPU resources

Parameters

All generate methods accept:

• max_tokens (default: 256)
• temperature (default: 1.0)
• top_k (default: 50)
• repeat_penalty (default: 1.1)

License

MIT