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This page shows the Star History and the facts of 2 to 5 repositories in the Repository Index, side by side. You choose the repositories. The page does not rank them.
Facts
| Fact | AI-Efficiency/Awesome-Model-Quantization A curated collection of papers, benchmarks, surveys, and tools for model quantization, covering low-bit networks, LLMs, multimodal and generative models, vector and lattice quantization, and efficient deployment. | intel/neural-compressor SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime |
|---|---|---|
| Stars | 2,467 | 2,730 |
| Net stars, last 30 days | +16 | +19 |
| Largest star day | +6 on May 18, 2026 | +6 on Oct 16, 2026 |
| Milestone reached in the record | None | None |
| Forks | 245 | 332 |
| Language | Not reported | Python |
| License | No license | APACHE-2.0 |
| Created | Oct 18, 2018 | Jul 21, 2020 |
| Last push | Oct 26, 2026 | Nov 12, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 2 of 4 checks (2 without data) | 2 of 4 checks (2 without data) |
| Health facts: Releases | 0 of 3 checks (2 without data) | 1 of 3 checks (1 without data) |
| Health facts: Security practice | 0 of 1 check (1 without data) | 0 of 1 check (1 without data) |
| Health facts: Community files | 0 of 3 checks (2 without data) | 1 of 3 checks (2 without data) |
| Commits, last 13 weeks | No data | No data |
| Weeks with commits, last 52 | No data | No data |
| In the Repository Index since | Nov 11, 2026 | Nov 11, 2026 |
Topics that all of them have on the Repository Host: large-language-models, low-precision, post-training-quantization, quantization-aware-training. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined