T-MAC: Table Lookup Makes CPU Great Again for Low-Bit LLM Inference
C++ · active 2024-02-02 → 2026-06-07 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 857 days from 2024-02-02 to 2026-06-07. Pushes: 99 total, peak 6 in a day. Pull requests: 24 total, peak 3 in a day. Issues: 107 total, peak 10 in a day. Comments: 273 total, peak 17 in a day. Stars: 832 total, peak 43 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| kaleid-liner | 211 | 81 | 19 | 95 |
| QingtaoLi1 | 37 | 11 | 1 | 21 |
| qw1319 | 31 | 0 | 0 | 22 |
| sunj0104 | 17 | 0 | 0 | 14 |
| orange-juice1 | 14 | 0 | 0 | 11 |
| idreamerhx | 9 | 0 | 0 | 6 |
| AndreaChiChengdu | 8 | 0 | 0 | 4 |
| ma-hang | 8 | 0 | 0 | 7 |
| hellangleZ | 7 | 0 | 0 | 7 |
| xdd130 | 7 | 0 | 0 | 5 |
| jixiuy | 6 | 0 | 0 | 3 |
| velonica0 | 6 | 0 | 0 | 3 |
| microsoftopensource | 5 | 5 | 0 | 0 |
| alter-xp | 5 | 0 | 2 | 3 |
| Zijie-Tian | 5 | 0 | 0 | 1 |
| nctu6 | 5 | 0 | 0 | 5 |
| ppp-max | 5 | 0 | 0 | 2 |
| maxim-saplin | 5 | 0 | 0 | 4 |
| tiger-of-shawn | 5 | 0 | 0 | 4 |
| caoshijie0501 | 5 | 1 | 1 | 3 |
Recent activity
Latest issues, pull requests and releases
- Issue#106Looong012026-02-03 13:41Intel & AMD NPU support?
- Issue comment#105My-captain2026-01-08 03:01ModuleNotFoundError: No module named 'torchgen.executorch'
- Issue#99ali-881232025-09-22 07:30Windows11 build llama.cpp CMakeFiles error
- Issue comment#24lippman11252025-09-19 17:10Any plans to merge the latest code of llama.cpp?
- Issue comment#96kaleid-liner2025-07-03 08:593bit kernel evaluation
- Issue#97FabianSchuetze2025-06-20 13:10Cannt find tvm Libraries
- Issue#96riteme2025-06-13 08:563bit kernel evaluation
- Issue#94Singapore-mor2025-06-02 09:38how to do the weight permutation
- Issue comment#91type-shangshu2025-04-16 17:04How to change the llama.cpp to T-mac(LUT-based)?I successfully run the code from the readme in my M1 computer, but the method is using llama.cpp don't the T-mac(LUT-based) from the thesis.
- Issue comment#91Promortyus2025-04-16 08:04How to change the llama.cpp to T-mac(LUT-based)?I successfully run the code from the readme in my M1 computer, but the method is using llama.cpp don't the T-mac(LUT-based) from the thesis.
- Issue comment#88gogogo662025-04-11 08:44AttributeError: module 'tvm.auto_scheduler._ffi_api' has no attribute 'RandomModel'
- Issue#92Heinzt3052025-04-06 14:23Does T-MAC Support Per-Channel Quantization?
- Issue comment#91jixiuy2025-04-02 04:21How to change the llama.cpp to T-mac(LUT-based)?I successfully run the code from the readme in my M1 computer, but the method is using llama.cpp don't the T-mac(LUT-based) from the thesis.
- Issue#91jixiuy2025-04-02 04:14How to change the llama.cpp to T-mac(LUT-based)?I successfully run the code from the readme in my M1 computer, but the method is using llama.cpp don't the T-mac(LUT-based) from the thesis.
- Issue#90jixiuy2025-04-02 04:11Running STEP.6: Run inference Error
- Issue comment#90jixiuy2025-04-02 04:11Running STEP.6: Run inference Error
- Issue comment#90jixiuy2025-04-01 12:00Running STEP.6: Run inference Error
- Issue#90jixiuy2025-04-01 11:54Running STEP.6: Run inference Error
- Issue comment#85alter-xp2025-03-27 07:02Segmentation fault on Raspberry Pi 5 with the official example
- Issue comment#85xxxxyu2025-03-27 06:54Segmentation fault on Raspberry Pi 5 with the official example
- Issue#89NielsRogge2025-03-26 09:20Release artifacts (models, dataset) on Hugging Face
- Issue comment#85alter-xp2025-03-20 01:37Segmentation fault on Raspberry Pi 5 with the official example
- Pull request#87alter-xp2025-03-18 07:23
- Issue#88Promortyus2025-03-17 07:59AttributeError: module 'tvm.auto_scheduler._ffi_api' has no attribute 'RandomModel'
- Issue comment#85QingtaoLi12025-02-24 05:39Segmentation fault on Raspberry Pi 5 with the official example
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 832 stars here means stars gained during the window, not the repo's star count.