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[CI] update UI #1344

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merged 4 commits into from
Feb 26, 2025
Merged

[CI] update UI #1344

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bf6b36a
[CI] update UI
CSY-ModelCloud Feb 26, 2025
27fd33d
Update unit_tests.yml
Qubitium Feb 26, 2025
1bc2ef8
Update README.md
Qubitium Feb 26, 2025
7f57aa9
Update README.md
Qubitium Feb 26, 2025
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7 changes: 3 additions & 4 deletions .github/workflows/unit_tests.yml
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Expand Up @@ -39,17 +39,16 @@ on:
required: false
default: ''
max-parallel:
description: 'max parallel jobs'
description: 'Parallel jobs'
required: false
default: '20'
exclusive-gpu:
description: 'one test, one gpu. for collecting statistics'
description: 'One Test Per GPU'
type: boolean
required: false
default: true
server:
description: 'Choose server (zen4 or xeon5)'
required: true
description: 'Wheel Build Server'
type: choice
options:
- '["self-hosted", "zen4"]'
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -12,7 +12,7 @@
</p>

## News
* 2/22/2025 2.0.0-dev: 🎉 `GPTQ` quantization internals are now broken into multiple stages (processes) for feature expansion. Synced `Marlin` kernel inference quality fix from upstream. Added `MRLIN_FP16`, lower-quality but faster, backend. `ModelScope` support added. Logging and cli progress bar output has been revamped with sticky bottom progress. Fixed `generation_config.json` save and load. Fix Transformers v4.49.0 compat. Fixed compat of models without `bos`. Fixed `group_size=-1` and `bits=3` packing regression. Added CI tests to track regression in kernel inference quality and sweep all bits/group_sizes.
* 2/22/2025 2.0.0-dev: 🎉 `GPTQ` quantization internals are now broken into multiple stages (processes) for feature expansion. Synced `Marlin` kernel inference quality fix from upstream. Added `MARLIN_FP16`, lower-quality but faster, backend. `ModelScope` support added. Logging and cli progress bar output has been revamped with sticky bottom progress. Fixed `generation_config.json` save and load. Fix Transformers v4.49.0 compat. Fixed compat of models without `bos`. Fixed `group_size=-1` and `bits=3` packing regression. Added CI tests to track regression in kernel inference quality and sweep all bits/group_sizes. Delegate loggin/progressbar to [LogBar](https://github.com/modelcloud/logbar) pkg.
* 02/12/2025 [1.9.0](https://github.com/ModelCloud/GPTQModel/releases/tag/v1.9.0): ⚡ Offload `tokenizer` fixes to [Toke(n)icer](https://github.com/modelcloud/tokenicer) pkg. Optimized `lm_head` quant time and vram usage.
Optimized `DeepSeek v3/R1` model quant vram usage. Fixed `Optimum` compat regresion in `v1.8.1`. 3x speed-up for `Torch` kernel when using Pytorch >= 2.5.0 with `model.optimize()`. New `calibration_dataset_concat_size` option to enable calibration data `concat` mode to mimic original GPTQ data packing strategy which may improve quant speed and accuracy for datasets like `wikitext2`.
* 02/08/2025 [1.8.1](https://github.com/ModelCloud/GPTQModel/releases/tag/v1.8.1): ⚡ `DeepSeek v3/R1` model support. New flexible weight `packing`: allow quantized weights to be packed to `[int32, int16, int8]` dtypes.
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