Skip to content

Actions: bitsandbytes-foundation/bitsandbytes

Actions

Python package

Actions

Loading...
Loading

Show workflow options

Create status badge

Loading
python-package.yml
1,189 workflow runs
1,189 workflow runs

Filter by Event

⌥ + click/return to exclude

Filter by Status

⌥ + click/return to exclude

Filter by Branch

⌥ + click/return to exclude

Filter by Actor

⌥ + click/return to exclude
Migrate all kbit kernels to uint8 E4M4 absmax, add fp16 absmax path Python package #2225: Commit 193317f pushed by TimDettmers
7m 48s experiment/scalar-gemv-int8-absmax
experiment/scalar-gemv-int8-absmax
7m 48s
update docs (#1857) Python package #2224: Commit b075afc pushed by matthewdouglas
17m 47s main
main
17m 47s
Remove deprecated APIs: research module, non-blockwise optimizers, and legacy quantization functions Python package #2223: Pull request #1871 synchronize by TimDettmers
9m 18s deprecation
deprecation
9m 18s
Remove deprecated APIs: research module, non-blockwise optimizers, an… Python package #2222: Commit 62d6963 pushed by TimDettmers
10m 45s deprecation
deprecation
10m 45s
docs: Add PR review posting guide, agent reference docs, and lint fixes Python package #2221: Commit de89ff7 pushed by TimDettmers
12m 17s main
main
12m 17s
Grouped MMA: TILE_N=64 + k_splits for small-N MoE shapes Python package #2220: Commit 23f92e5 pushed by TimDettmers
8m 17s feature/kbit-gemv-v8
feature/kbit-gemv-v8
8m 17s
Add workload-weighted kernel analysis and vLLM deployment model Python package #2219: Commit df55daf pushed by TimDettmers
7m 11s feature/kbit-gemv-v8
feature/kbit-gemv-v8
7m 11s
V8 grouped scalar GEMV + inline work distribution for grouped MMA Python package #2218: Commit b02ff66 pushed by TimDettmers
8m 1s feature/kbit-gemv-v8
feature/kbit-gemv-v8
8m 1s
Remove unnecessary E4M4 conversion in dequant, add dequant overhead b… Python package #2217: Commit 3cbaf74 pushed by TimDettmers
8m 25s feature/kbit-gemv-v8
feature/kbit-gemv-v8
8m 25s
Remove deprecated APIs: research module, non-blockwise optimizers, and legacy quantization functions Python package #2216: Pull request #1871 opened by TimDettmers
9m 42s deprecation
deprecation
9m 42s
Remove deprecated APIs: research module, non-blockwise optimizers, an… Python package #2215: Commit 49a768a pushed by TimDettmers
9m 14s deprecation
deprecation
9m 14s
Add launch_bounds, fast benchmarking suite, and consolidated kernel spec Python package #2214: Commit 826bc00 pushed by TimDettmers
7m 44s feature/kbit-gemv-v8
feature/kbit-gemv-v8
7m 44s
Add LARS to str2optimizer32bit dictionary Python package #2213: Pull request #1855 synchronize by TimDettmers
8m 55s Mr-Neutr0n:fix/lars-optimizer-32bit
Mr-Neutr0n:fix/lars-optimizer-32bit
8m 55s
Add LARS to str2optimizer32bit and fix error message Python package #2212: Pull request #1870 opened by TimDettmers
9m 48s fix/issue-1810
fix/issue-1810
9m 48s
Add LARS to str2optimizer32bit and fix error message (#1810) Python package #2211: Commit d85ae22 pushed by TimDettmers
8m 52s fix/issue-1810
fix/issue-1810
8m 52s
Fix GlobalOptimManager.override_config not propagating to optimizer Python package #2210: Pull request #1869 opened by TimDettmers
9m 12s fix/issue-1269
fix/issue-1269
9m 12s
Fix GlobalOptimManager.override_config not propagating to optimizer (… Python package #2209: Commit 997510d pushed by TimDettmers
9m 33s fix/issue-1269
fix/issue-1269
9m 33s
Optimize MMA kernel for small M: TILE_N=64 + multi-block-per-SM k_splits Python package #2208: Commit 11f4b32 pushed by TimDettmers
7m 41s feature/kbit-gemv-v8
feature/kbit-gemv-v8
7m 41s
Add optimized k-bit scalar GEMV kernel Python package #2207: Commit 33349dd pushed by TimDettmers
7m 54s kbit_glm
kbit_glm
7m 54s
Add MMA kernel optimization spec for M=2-16 range Python package #2206: Commit fe58198 pushed by TimDettmers
7m 24s feature/kbit-gemv-v8
feature/kbit-gemv-v8
7m 24s
Rewrite kbit scalar GEMV: 2-4.5x faster, beats cuBLAS fp16 at M=1 Python package #2205: Commit d800bb5 pushed by TimDettmers
7m 53s feature/kbit-gemv-v8
feature/kbit-gemv-v8
7m 53s
Add scalar GEMV implementation guide Python package #2204: Commit aba14e8 pushed by TimDettmers
8m 16s feature/kbit-gemm
feature/kbit-gemm
8m 16s
Add optimization plan: three-kernel strategy for kbit inference Python package #2203: Commit 96ba7a2 pushed by TimDettmers
7m 17s feature/kbit-gemm
feature/kbit-gemm
7m 17s
Add MoE analysis benchmarks, update grouped GEMM baseline to bmm Python package #2202: Commit daa2f12 pushed by TimDettmers
9m 25s feature/kbit-gemm
feature/kbit-gemm
9m 25s
Add grouped expert GEMM kernel for MoE inference Python package #2201: Commit 8e527ff pushed by TimDettmers
7m 17s feature/kbit-gemm
feature/kbit-gemm
7m 17s
ProTip! You can narrow down the results and go further in time using created:<2026-02-15 or the other filters available.