# bitsandbytes-foundation/bitsandbytes

- id: src_01M569CQPGFD84W0XCFANB6CZ7
- type: source · status: active · revision: 2
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=metadata_checked, execution=not_run, review=unreviewed
- categories: T09 · tags: level:established, code:python
- updated: 2026-10-18T01:24:02.536Z
- url: https://veyrul.com/sources/src_01M569CQPGFD84W0XCFANB6CZ7

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

```json
{
  "archived": false,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "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",
  "dependencies": [],
  "source_owner": null,
  "next_check_at": "2026-10-24T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": null,
  "known_limitations": [],
  "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: https://github.com/bitsandbytes-foundation/bitsandbytes
- [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: https://github.com/bitsandbytes-foundation/bitsandbytes
- [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:
- code: license=MIT hosting=permitted redistribution=permitted modification=permitted training=unknown · Repository page states MIT. · evidence: https://github.com/bitsandbytes-foundation/bitsandbytes

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