xjdr-alt/entropix

Health v2 · maintenance only

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3432 stars · 317 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Entropix is a research project implementing entropy-based sampling and parallel chain-of-thought decoding for large language models, aiming to improve output quality via inference-time compute. It includes an inference stack and sampler, with planned splits into a local single-GPU/Apple Silicon version and a multi-GPU/TPU large-model version.

Use cases

• improve llm output quality with entropy-aware sampling
• simulate o1-style chain of thought reasoning at inference time
• experiment with parallel cot decoding
• research adaptive sampling strategies for transformers
• run reasoning experiments on local gpus or apple silicon
• serve large models across multiple h100s or tpus

When to choose

• you are an ml researcher exploring sampling and decoding techniques
• you want to experiment with entropy-based inference-time compute on small models
• you need a testbed for prototyping sampler ideas in jax, pytorch, or mlx

When to avoid

• you need a stable production inference server today
• you want a turnkey chat product with support and guarantees
• you cannot tolerate frequent breaking changes in a research codebase

Facets

library · maturity experimental

llm-inference llm-training machine-learning rag large-language-models artificial-intelligence machine-learning python cloud entropy-sampling chain-of-thought decoding inference-time-compute jax pytorch mlx research-project research gpu macos linux

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