Comparison
bitsandbytes vs scaling-book
Verdict
Pick bitsandbytes if bitsandbytes provides k-bit quantization in PyTorch, enhancing large language model accessibility across multiple hardware platforms; pick scaling-book if scaling-book.
Markdown twin · bitsandbytes alternatives · scaling-book alternatives
GraphCanon updated Sep 30, 2026
16views this month
Trust & integrity
| Signal | bitsandbytes | scaling-book |
|---|---|---|
| Maintenance | Active (22d since push) As of Sep 30, 2026 · github_public_v1 | Very active (0d since push) As of Sep 19, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 30, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 19, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- bitsandbytes
- Large language model quantization toolkit for PyTorch.
- scaling-book
- Guide on scaling LLMs on TPUs
Stars
- bitsandbytes
- 8.5k
- scaling-book
- 1.4k
Forks
- bitsandbytes
- 938
- scaling-book
- 205
Open issues
- bitsandbytes
- 94
- scaling-book
- 10
Language
- bitsandbytes
- Python
- scaling-book
- HTML
Adopt for
- bitsandbytes
- bitsandbytes provides k-bit quantization in PyTorch, enhancing large language model accessibility across multiple hardware platforms.
- scaling-book
- scaling-book
Persona
- bitsandbytes
- -
- scaling-book
- -
Runtime
- bitsandbytes
- -
- scaling-book
- -
License
- bitsandbytes
- MIT
- scaling-book
- MIT
Last pushed
- bitsandbytes
- Sep 7, 2026
- scaling-book
- Sep 19, 2026
Categories
- bitsandbytes
- Inference & Serving, LLM Frameworks
- scaling-book
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- bitsandbytes
- Active (82%)
- scaling-book
- Very active (96%)
Days since push
- bitsandbytes
- 22d
- scaling-book
- 0d
Open issues (now)
- bitsandbytes
- 94
- scaling-book
- 10
Stars delta
- bitsandbytes
- +122 (30d)
- scaling-book
- +150 (30d)
Open issues delta
- bitsandbytes
- +40 (30d)
- scaling-book
- +3 (30d)
Full report
- bitsandbytes
- Trust report
- scaling-book
- Trust report
Shared compatibility
- Python · bitsandbytes: Python runtime · scaling-book: Python runtime
Choose bitsandbytes if…
- bitsandbytes is primarily Python; scaling-book is HTML.
- Tags unique to bitsandbytes: llm, machine-learning, pytorch, qlora.
- When you need advanced k-bit quantization on PyTorch for hardware like NVIDIA GPUs with SM75+ recommended.
When NOT to use bitsandbytes
- Avoid if your setup includes Intel Gaudi processors as QLoRA 4-bit support is partial and 8-bit optimizers are not available.
- Steer clear if you require full compatibility with ARM-based CPUs, as specific GPU optimizations might lack coverage.
Choose scaling-book if…
- scaling-book is primarily HTML; bitsandbytes is Python.
- Tags unique to scaling-book: jax, llm-inference, llms, roofline.
- You are working specifically with machine learning models that leverage Tensor Processing Units (TPUs) for performance and are looking to understand optimization techniques.
When NOT to use scaling-book
- Do not use if your project focuses exclusively on GPU scaling or other hardware not aligned with Tensor Processing Units (TPUs).
- If you are looking for a general approach to any framework's scalability without emphasis on TPUs.
- This resource is unsuitable if you need information about model training phases, as it emphasizes inference and serving phases.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (bitsandbytes-foundation/bitsandbytes) · observed Sep 30, 2026
- GitHub forks (bitsandbytes-foundation/bitsandbytes) · observed Sep 30, 2026
- Last push (bitsandbytes-foundation/bitsandbytes) · observed Sep 7, 2026
- License file (MIT) · observed Sep 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (jax-ml/scaling-book) · observed Sep 20, 2026
- GitHub forks (jax-ml/scaling-book) · observed Sep 20, 2026
- Last push (jax-ml/scaling-book) · observed Sep 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: bitsandbytes 8.5k · scaling-book 1.4k (synced Sep 30, 2026).
Common questions
- What is the difference between bitsandbytes and scaling-book?
- bitsandbytes: Large language model quantization toolkit for PyTorch.. scaling-book: Guide on scaling LLMs on TPUs. See the comparison table for live GitHub stats and shared categories.
- When should I choose bitsandbytes over scaling-book?
- Choose bitsandbytes over scaling-book when bitsandbytes is primarily Python; scaling-book is HTML; Tags unique to bitsandbytes: llm, machine-learning, pytorch, qlora; When you need advanced k-bit quantization on PyTorch for hardware like NVIDIA GPUs with SM75+ recommended.
- When should I choose scaling-book over bitsandbytes?
- Choose scaling-book over bitsandbytes when scaling-book is primarily HTML; bitsandbytes is Python; Tags unique to scaling-book: jax, llm-inference, llms, roofline; You are working specifically with machine learning models that leverage Tensor Processing Units (TPUs) for performance and are looking to understand optimization techniques.
- When should I avoid bitsandbytes?
- Avoid if your setup includes Intel Gaudi processors as QLoRA 4-bit support is partial and 8-bit optimizers are not available. Steer clear if you require full compatibility with ARM-based CPUs, as specific GPU optimizations might lack coverage.
- When should I avoid scaling-book?
- Do not use if your project focuses exclusively on GPU scaling or other hardware not aligned with Tensor Processing Units (TPUs). If you are looking for a general approach to any framework's scalability without emphasis on TPUs. This resource is unsuitable if you need information about model training phases, as it emphasizes inference and serving phases.
- Is bitsandbytes or scaling-book more popular on GitHub?
- bitsandbytes has more GitHub stars (8,507 vs 1,441). Stars measure visibility, not whether either tool fits your constraints.
- Are bitsandbytes and scaling-book open source?
- Yes - both are open-source projects on GitHub (bitsandbytes: MIT, scaling-book: MIT).
- Where can I find alternatives to bitsandbytes or scaling-book?
- GraphCanon lists graph-backed alternatives at bitsandbytes alternatives and scaling-book alternatives (bitsandbytes markdown twin, scaling-book markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, bitsandbytes or scaling-book?
- bitsandbytes: Active. scaling-book: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for bitsandbytes and scaling-book?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: bitsandbytes trust report; scaling-book trust report.