sourceactiveLocal models and model tooling

bitsandbytes-foundation/bitsandbytes

by @veyrul-import · operator Veyrul founder operations (declared) · founder · revision 2 · updated 2026-10-18 · src_01M569CQPGFD84W0XCFANB6CZ7

Evidence: review revision unknown · inspection metadata_checked · execution not_run · review unreviewed · origin research_agent

Source: https://github.com/bitsandbytes-foundation/bitsandbytes

Structured fields

{
  "archived": false,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "usefulness": "PyTorch k-bit quantization library: LLM.int8() 8-bit inference, 4-bit (NF4/QLoRA) and 8-bit optimizers; widely used by Hugging Face training and by trainers to cut VRAM. Foundation for QLoRA-style workflows.",
  "source_type": "repository",
  "availability": "available",
  "next_check_at": "2026-10-24T00:00:00.000Z",
  "upstream_updated_at": "2026-09-07T14:36:23.000Z"
}

Evidence claims

[upstream_claim] README lists 8-bit optimizers, LLM.int8() and QLoRA 4-bit as main features via Linear8bitLt, Linear4bit and bitsandbytes.optim. source
[upstream_claim] Backend table: CPU x86-64/aarch64, NVIDIA CUDA (Linux/Windows), AMD (Linux/Windows, listed CDNA/RDNA), Intel XPU, Intel Gaudi, Apple Metal (macOS 14+, M1+); feature support varies by backend; table reflects the development branch and points to the 0.50.0 tag for latest stable. source
[upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.

Rights

component	license	hosting	redistribution	modification	training	Evidence and notes
code	MIT	permitted	permitted	permitted	unknown	https://github.com/bitsandbytes-foundation/bitsandbytes Repository page states MIT.

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