f2b20fe491
Consolidate Llama model usage in tests ( #13094 )
2025-02-13 22:18:03 -08:00
09545c0a94
[Bugfix/CI] Turn test_compressed_tensors_2of4_sparse back on ( #13250 )
2025-02-13 20:19:25 -08:00
14b7899d10
[CI] Fix failing FP8 cpu offload test ( #13170 )
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Signed-off-by: mgoin <mgoin64@gmail.com >
2025-02-12 19:16:06 +00:00
36a08630e8
[CORE] [QUANT] Support for GPTQModel's dynamic quantization per module override/control ( #7086 )
2025-02-12 09:19:43 -08:00
eaa92d4437
[ROCm] [Feature] [Doc] [Dockerfile] [BugFix] Support Per-Token-Activation Per-Channel-Weight FP8 Quantization Inferencing ( #12501 )
2025-02-07 08:13:43 -08:00
3b2005e1db
Add: Support for Sparse24Bitmask Compressed Models
2025-02-05 13:30:43 -08:00
e489ad7a21
[Misc] Add SPDX-License-Identifier headers to python source files ( #12628 )
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- **Add SPDX license headers to python source files**
- **Check for SPDX headers using pre-commit**
commit 9d7ef44c3cfb72ca4c32e1c677d99259d10d4745
Author: Russell Bryant <rbryant@redhat.com >
Date: Fri Jan 31 14:18:24 2025 -0500
Add SPDX license headers to python source files
This commit adds SPDX license headers to python source files as
recommended to
the project by the Linux Foundation. These headers provide a concise way
that is
both human and machine readable for communicating license information
for each
source file. It helps avoid any ambiguity about the license of the code
and can
also be easily used by tools to help manage license compliance.
The Linux Foundation runs license scans against the codebase to help
ensure
we are in compliance with the licenses of the code we use, including
dependencies. Having these headers in place helps that tool do its job.
More information can be found on the SPDX site:
- https://spdx.dev/learn/handling-license-info/
Signed-off-by: Russell Bryant <rbryant@redhat.com >
commit 5a1cf1cb3b80759131c73f6a9dddebccac039dea
Author: Russell Bryant <rbryant@redhat.com >
Date: Fri Jan 31 14:36:32 2025 -0500
Check for SPDX headers using pre-commit
Signed-off-by: Russell Bryant <rbryant@redhat.com >
---------
Signed-off-by: Russell Bryant <rbryant@redhat.com >
2025-02-02 11:58:18 -08:00
823ab79633
Update pre-commit hooks ( #12475 )
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Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com >
2025-01-27 17:23:08 -07:00
aa2cd2c43d
[Bugfix] Disable w16a16 2of4 sparse CompressedTensors24 ( #12417 )
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Signed-off-by: Tyler Michael Smith <tyler@neuralmagic.com >
Co-authored-by: mgoin <michael@neuralmagic.com >
2025-01-26 19:59:58 +08:00
59a0192fb9
[Core] Interface for accessing model from VllmRunner ( #10353 )
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Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk >
2025-01-20 15:00:59 +08:00
32eb0da808
[Misc] Support register quantization method out-of-tree ( #11969 )
2025-01-18 16:13:16 -08:00
de0526f668
[Misc][Quark] Upstream Quark format to VLLM ( #10765 )
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Signed-off-by: kewang-xlnx <kewang@xilinx.com >
Signed-off-by: kewang2 <kewang2@amd.com >
Co-authored-by: kewang2 <kewang2@amd.com >
Co-authored-by: Michael Goin <michael@neuralmagic.com >
2025-01-15 11:05:15 -05:00
8cef6e02dc
[Misc] add w8a8 asym models ( #11075 )
2024-12-23 13:33:20 -05:00
5a9da2e6e9
[Bugfix][Build/CI] Fix sparse CUTLASS compilation on CUDA [12.0, 12.2) ( #11311 )
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Signed-off-by: Tyler Michael Smith <tyler@neuralmagic.com >
2024-12-19 02:43:30 +00:00
60508ffda9
[Kernel]: Cutlass 2:4 Sparsity + FP8/Int8 Quant Support ( #10995 )
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Co-authored-by: Faraz Shahsavan <faraz.shahsavan@gmail.com >
Co-authored-by: ilmarkov <markovilya197@gmail.com >
Co-authored-by: Rahul Tuli <rahul@neuralmagic.com >
Co-authored-by: rshaw@neuralmagic.com <rshaw@neuralmagic.com >
2024-12-18 09:57:16 -05:00
388ee3de66
[torch.compile] limit inductor threads and lazy import quant ( #10482 )
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Signed-off-by: youkaichao <youkaichao@gmail.com >
2024-11-20 18:36:33 -08:00
6b2d25efc7
[Hardware][XPU] AWQ/GPTQ support for xpu backend ( #10107 )
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Signed-off-by: yan ma <yan.ma@intel.com >
2024-11-18 11:18:05 -07:00
bf2ddc6610
[bugfix] Fix static asymmetric quantization case ( #10334 )
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Signed-off-by: Daniël de Kok <me@danieldk.eu >
Signed-off-by: luka <luka@neuralmagic.com >
Co-authored-by: Daniël de Kok <me@danieldk.eu >
2024-11-15 09:35:11 +08:00
ac49b59d8b
[Bugfix] bitsandbytes models fail to run pipeline parallel ( #10200 )
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Signed-off-by: Hoang Cong Duc <hoangcongducltt@gmail.com >
2024-11-13 09:56:39 -07:00
380e18639f
🐛 fix torch memory profiling ( #9516 )
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Signed-off-by: Joe Runde <Joseph.Runde@ibm.com >
2024-10-18 21:25:19 -04:00
051eaf6db3
[Model] Add user-configurable task for models that support both generation and embedding ( #9424 )
2024-10-18 11:31:58 -07:00
22f8a69549
[Misc] Directly use compressed-tensors for checkpoint definitions ( #8909 )
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Co-authored-by: DarkLight1337 <tlleungac@connect.ust.hk >
2024-10-15 15:40:25 -07:00
ca77dd7a44
[Hardware][CPU] Support AWQ for CPU backend ( #7515 )
2024-10-09 10:28:08 -06:00
2f4117c38e
support bitsandbytes quantization with more models ( #9148 )
2024-10-08 19:52:19 -06:00
172d1cd276
[Kernel] AQ AZP 4/4: Integrate asymmetric quantization to linear method ( #7271 )
2024-09-27 14:25:10 -04:00
13f9f7a3d0
[[Misc]Upgrade bitsandbytes to the latest version 0.44.0 ( #8768 )
2024-09-24 17:08:55 -07:00
6ffa3f314c
[CI/Build] Avoid CUDA initialization ( #8534 )
2024-09-18 10:38:11 +00:00
9855b99502
[Feature][kernel] tensor parallelism with bitsandbytes quantization ( #8434 )
2024-09-17 08:09:12 -07:00
a2469127db
[misc][ci] fix quant test ( #8449 )
2024-09-13 17:20:14 +08:00
0b952af458
[Hardware][Intel] Support compressed-tensor W8A8 for CPU backend ( #7257 )
2024-09-11 09:46:46 -07:00
4664ceaad6
support bitsandbytes 8-bit and FP4 quantized models ( #7445 )
2024-08-29 19:09:08 -04:00
fc911880cc
[Kernel] Expand MoE weight loading + Add Fused Marlin MoE Kernel ( #7766 )
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Co-authored-by: ElizaWszola <eliza@neuralmagic.com >
2024-08-27 15:07:09 -07:00
9e51b6a626
[ci][test] adjust max wait time for cpu offloading test ( #7709 )
2024-08-20 17:12:44 -07:00
7fc23be81c
[Kernel] W8A16 Int8 inside FusedMoE ( #7415 )
2024-08-16 10:06:51 -07:00
50b8d08dbd
[Misc/Testing] Use torch.testing.assert_close ( #7324 )
2024-08-16 04:24:04 +00:00
e165528778
[CI] Move quantization cpu offload tests out of fastcheck ( #7574 )
2024-08-15 21:16:20 -07:00
f55a9aea45
[Misc] Revert compressed-tensors code reuse ( #7521 )
2024-08-14 15:07:37 -07:00
373538f973
[Misc] compressed-tensors code reuse ( #7277 )
2024-08-13 19:05:15 -04:00
5223199e03
[Bugfix][FP8] Fix dynamic FP8 Marlin quantization ( #7219 )
2024-08-07 11:23:12 -07:00
0f7052bc7e
[Misc] Refactor linear layer weight loading; introduce BasevLLMParameter and weight_loader_v2 ( #5874 )
2024-08-07 09:17:58 -07:00
360bd67cf0
[Core] Support loading GGUF model ( #5191 )
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Co-authored-by: Michael Goin <michael@neuralmagic.com >
2024-08-05 17:54:23 -06:00
fb3db61688
[CI/Build] Remove sparseml requirement from testing ( #7037 )
2024-08-01 12:00:51 -07:00
d7a299edaa
[Kernel] Remove scaled_fp8_quant kernel padding footgun ( #6842 )
2024-07-30 16:37:01 -04:00
65b1f121c8
[Bugfix] Fix kv_cache_dtype=fp8 without scales for FP8 checkpoints ( #6761 )
2024-07-25 09:46:15 -07:00
87525fab92
[bitsandbytes]: support read bnb pre-quantized model ( #5753 )
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Co-authored-by: Michael Goin <michael@neuralmagic.com >
2024-07-23 23:45:09 +00:00
01c16ede6b
[CI] Add smoke test for non-uniform AutoFP8 quantization ( #6702 )
2024-07-23 22:45:12 +00:00
9e0b558a09
[Misc] Support FP8 kv cache scales from compressed-tensors ( #6528 )
2024-07-23 04:11:50 +00:00
396d92d5e0
[Kernel][Core] Add AWQ support to the Marlin kernel ( #6612 )
2024-07-21 19:41:42 -04:00
978aed5300
[Kernel][Attention] Separate Attention.kv_scale into k_scale and v_scale ( #6081 )
2024-07-16 15:31:32 -07:00
b675069d74
[ Misc ] Refactor Marlin Python Utilities ( #6082 )
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Co-authored-by: Robert Shaw <rshaw@neuralmagic.com >
2024-07-11 15:40:11 +00:00
