Compressed Tensors v0.6.0

What's Changed

• Add simple GHA workflow to run tests by @dbogunowicz in #2
• Define BaseModels for Quantization by @Satrat in #3
• Quantization refactor by @horheynm in #5
• Apply quantization config implementation by @bfineran in #4
• decorate fake quant with torch.no_grad by @bfineran in #8
• fix observer bugs by @bfineran in #9
• [lifecycle] docstrings + ux update to work with torch.apply by @bfineran in #11
• Fix Device Mismatch by @Satrat in #12
• Serialize Config from Model by @Satrat in #7
• [Observers] pull shared logic into a helper function by @bfineran in #13
• Rename the repo to compressed-tensors by @dbogunowicz in #14
• fix style post rename PR by @bfineran in #25
• Quantization Examples and Correctness Fixes by @Satrat in #26
• Fix failing GHA by @dbogunowicz in #29
• Pretrained Model Reload + SparseGPT Support by @Satrat in #31
• [Release 0.3.0] Basic Readme and user-facing pathways by @dbogunowicz in #30
• Quantization Fixes by @Satrat in #35
• Final details for package by @mgoin in #36
• bump version to 0.3.1 license an packaging updates by @bfineran in #37
• Dyanmic Quantization by @bfineran in #15
• [Release 0.3.2] Additional patches to enable compatibility with SparseML, UX changes by @Satrat in #43
• Update target match conditions; make public by @dsikka in #44
• [Lifecycle][Tests] Feature Branch by @horheynm in #38
• [Observers] group size + channel wise + per token by @horheynm in #32
• [BugFix] Update code to be compatible with py38 by @rahul-tuli in #48
• [Fix] Fix the messed-up test structure by @dbogunowicz in #49
• Bump the version before the release by @dbogunowicz in #50
• Compressed lifecycle implementation (INT8 only) by @bfineran in #33
• group size speedups + fixes by @bfineran in #51
• Group and Channelwise Compression Support by @Satrat in #52
• Int4 Packed Compressor by @Satrat in #47
• Fix for auto device map quantization by @Satrat in #54
• Enable generating compressed-tensors-nightly by @dbogunowicz in #53
• [BugFix][Again] Update code to be compatible with py38 by @dbogunowicz in #56
• Fix per_token slowdown by @Satrat in #57
• [GPTQ Modifier UX] Add default scheme by @rahul-tuli in #61
• fix group size min max tracking by adding tensor ids by @bfineran in #60
• Support for aliased scheme settings in quant config by @bfineran in #40
• Remove Symmetric Zero Point in Compressed Outputs by @Satrat in #59
• Misc Fixes by @Satrat in #55
• Fix for Symmetric Zero Point Reloading by @Satrat in #64
• Additional Symmetric ZP Fix by @Satrat in #65
• Make ZP int8 instead of int64 by @Satrat in #67
• Add a function to check if a string is a preset scheme by @rahul-tuli in #66
• Rename Packed Weights by @Satrat in #63
• Fixed Grouped Quantization Reload by @Satrat in #68
• Fix incorrect loading of dtype by @eldarkurtic in #70
• Fix Python 3.8 Compatability by @Satrat in #71
• Update nightly build to run at 6pm by @dsikka in #72
• Update time for the runner by @dsikka in #74
• Fixes to enable FSDP one-shot by @dbogunowicz in #58
• Update Compression Config for HfQuantizer Compatability by @Satrat in #73
• Remove version restriction on transformers by @mgoin in #76
• remove pydantic version cap by @bfineran in #80
• reduce appropriate dim by @horheynm in #75
• Marlin24 Compressor by @Satrat in #77
• Fix GPTQ Aliases by @Satrat in #81
• initial fixes for compatibility with HFQuantizer by @bfineran in #79
• bump version to 0.4.0 by @bfineran in #83
• import is_release from version.py by @horheynm in #85
• Add release build workflow by @dhuangnm in #89
• Assert correct device when dequantizing (like we do for quantizing) by @dbogunowicz in #90
• update default symmetry to True on presets by @bfineran in #92
• Fp8 Quantization Support by @Satrat in #62
• default W4A16 alias to use group_size=128 by @bfineran in #94
• [compressor] Add packed int8 support by @dsikka in #91
• Fix Decompress kwargs by @Satrat in #100
• [Quant KV Cache] Implementation by @dbogunowicz in #86
• Fix Transient Tests by @Satrat in #101
• Speed Up Packed Compression by @Satrat in #103
• [Fix] remove tests/quantization by @dbogunowicz in #99
• Allow creating compressor when trust_remote_code=True by @dbogunowicz in #104
• Update Quantization Presets by @Satrat in #105
• [MOE] Add a set of functionalities to support quantization of MOE models by @dbogunowicz in #46
• [BugFix]Fix Name Mangling Issue in compressed_tensors.utils by @rahul-tuli in #102
• Update Quantization Scheme Standards for better readability by @markurtz in #106
• quatization lifecycle - disable forward pass override + helper for weight quant param updates by @bfineran in #111
• Add FP8 Dynamic Scheme for Latest Llama3.1 Meta Models and Fix W4A8 Representation by @markurtz in #114
• Model Offloading Support by @Satrat in #113
• Fix Test to Account for Model Change by @Satrat in #116
• Make publish workflow manually triggerable by @rahul-tuli in #117
• bump version to 0.5.0 by @bfineran in #119
• Fix Execution Device Helper Fn by @Satrat in #120
• Do not mutate config by apply_quantization_config by @dbogunowicz in #107
• Rename Quant Method by @Satrat in #122
• Revert Config Change by @Satrat in #124
• Bug Fix for Calibration Setup by @Satrat in https://github.com/neuralmagic/compressed-tenso...

Compressed Tensors v0.5.0

What's Changed

• Add simple GHA workflow to run tests by @dbogunowicz in #2
• Define BaseModels for Quantization by @Satrat in #3
• Quantization refactor by @horheynm in #5
• Apply quantization config implementation by @bfineran in #4
• decorate fake quant with torch.no_grad by @bfineran in #8
• fix observer bugs by @bfineran in #9
• [lifecycle] docstrings + ux update to work with torch.apply by @bfineran in #11
• Fix Device Mismatch by @Satrat in #12
• Serialize Config from Model by @Satrat in #7
• [Observers] pull shared logic into a helper function by @bfineran in #13
• Rename the repo to compressed-tensors by @dbogunowicz in #14
• fix style post rename PR by @bfineran in #25
• Quantization Examples and Correctness Fixes by @Satrat in #26
• Fix failing GHA by @dbogunowicz in #29
• Pretrained Model Reload + SparseGPT Support by @Satrat in #31
• [Release 0.3.0] Basic Readme and user-facing pathways by @dbogunowicz in #30
• Quantization Fixes by @Satrat in #35
• Final details for package by @mgoin in #36
• bump version to 0.3.1 license an packaging updates by @bfineran in #37
• Dyanmic Quantization by @bfineran in #15
• [Release 0.3.2] Additional patches to enable compatibility with SparseML, UX changes by @Satrat in #43
• Update target match conditions; make public by @dsikka in #44
• [Lifecycle][Tests] Feature Branch by @horheynm in #38
• [Observers] group size + channel wise + per token by @horheynm in #32
• [BugFix] Update code to be compatible with py38 by @rahul-tuli in #48
• [Fix] Fix the messed-up test structure by @dbogunowicz in #49
• Bump the version before the release by @dbogunowicz in #50
• Compressed lifecycle implementation (INT8 only) by @bfineran in #33
• group size speedups + fixes by @bfineran in #51
• Group and Channelwise Compression Support by @Satrat in #52
• Int4 Packed Compressor by @Satrat in #47
• Fix for auto device map quantization by @Satrat in #54
• Enable generating compressed-tensors-nightly by @dbogunowicz in #53
• [BugFix][Again] Update code to be compatible with py38 by @dbogunowicz in #56
• Fix per_token slowdown by @Satrat in #57
• [GPTQ Modifier UX] Add default scheme by @rahul-tuli in #61
• fix group size min max tracking by adding tensor ids by @bfineran in #60
• Support for aliased scheme settings in quant config by @bfineran in #40
• Remove Symmetric Zero Point in Compressed Outputs by @Satrat in #59
• Misc Fixes by @Satrat in #55
• Fix for Symmetric Zero Point Reloading by @Satrat in #64
• Additional Symmetric ZP Fix by @Satrat in #65
• Make ZP int8 instead of int64 by @Satrat in #67
• Add a function to check if a string is a preset scheme by @rahul-tuli in #66
• Rename Packed Weights by @Satrat in #63
• Fixed Grouped Quantization Reload by @Satrat in #68
• Fix incorrect loading of dtype by @eldarkurtic in #70
• Fix Python 3.8 Compatability by @Satrat in #71
• Update nightly build to run at 6pm by @dsikka in #72
• Update time for the runner by @dsikka in #74
• Fixes to enable FSDP one-shot by @dbogunowicz in #58
• Update Compression Config for HfQuantizer Compatability by @Satrat in #73
• Remove version restriction on transformers by @mgoin in #76
• remove pydantic version cap by @bfineran in #80
• reduce appropriate dim by @horheynm in #75
• Marlin24 Compressor by @Satrat in #77
• Fix GPTQ Aliases by @Satrat in #81
• initial fixes for compatibility with HFQuantizer by @bfineran in #79
• bump version to 0.4.0 by @bfineran in #83
• import is_release from version.py by @horheynm in #85
• Add release build workflow by @dhuangnm in #89
• Assert correct device when dequantizing (like we do for quantizing) by @dbogunowicz in #90
• update default symmetry to True on presets by @bfineran in #92
• Fp8 Quantization Support by @Satrat in #62
• default W4A16 alias to use group_size=128 by @bfineran in #94
• [compressor] Add packed int8 support by @dsikka in #91
• Fix Decompress kwargs by @Satrat in #100
• [Quant KV Cache] Implementation by @dbogunowicz in #86
• Fix Transient Tests by @Satrat in #101
• Speed Up Packed Compression by @Satrat in #103
• [Fix] remove tests/quantization by @dbogunowicz in #99
• Allow creating compressor when trust_remote_code=True by @dbogunowicz in #104
• Update Quantization Presets by @Satrat in #105
• [MOE] Add a set of functionalities to support quantization of MOE models by @dbogunowicz in #46
• [BugFix]Fix Name Mangling Issue in compressed_tensors.utils by @rahul-tuli in #102
• Update Quantization Scheme Standards for better readability by @markurtz in #106
• quatization lifecycle - disable forward pass override + helper for weight quant param updates by @bfineran in #111
• Add FP8 Dynamic Scheme for Latest Llama3.1 Meta Models and Fix W4A8 Representation by @markurtz in #114
• Model Offloading Support by @Satrat in #113
• Fix Test to Account for Model Change by @Satrat in #116
• Make publish workflow manually triggerable by @rahul-tuli in #117
• bump version to 0.5.0 by @bfineran in #119
• [Cherry Pick] dont set quantization data on reload (#123) by @Satrat in #125

New Contributors

• @mgoin made their first contribution in #36
• @dsikka made their first contribution in #44
• @rahul-tuli made their first contribution in #48
• @eldarkurtic made their first contribution in https://gith...

Compressed Tensors v0.4.0

New Features:

• Scheme alias support in quant config (#40)
• New compressors: packed int4 (#47), Marlin 2:4 (#77)

Changes:

• None

Resolved Issues:

• Group-size quantization implementation addressed to ensure correctness. (#60)

Known Issues:

• None