Antoni Baum
a10d3056da
[Core] Set linear_weights directly on the layer ( #3977 )
2024-04-11 16:35:51 -04:00
youkaichao
63e7176f26
[Core][Refactor] move parallel_utils into vllm/distributed ( #3950 )
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[WIP][Core][Refactor] move vllm/model_executor/parallel_utils into vllm/distributed and vllm/device_communicators (#3950 )
2024-04-10 15:33:30 -07:00
SangBin Cho
01bfb22b41
[CI] Try introducing isort. ( #3495 )
2024-03-25 07:59:47 -07:00
Hui Liu
ba8dc958a3
[Minor] Fix bias in if to remove ambiguity ( #3259 )
2024-03-13 09:16:55 -07:00
Zhuohan Li
2f8844ba08
Re-enable the 80 char line width limit ( #3305 )
2024-03-10 19:49:14 -07:00
c0c2335ce0
Integrate Marlin Kernels for Int4 GPTQ inference ( #2497 )
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Co-authored-by: Robert Shaw <114415538+rib-2@users.noreply.github.com >
Co-authored-by: alexm <alexm@neuralmagic.com >
2024-03-01 12:47:51 -08:00
Kunshang Ji and Jiang Li
96b6f475dd
Remove hardcoded device="cuda" to support more devices ( #2503 )
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Co-authored-by: Jiang Li <jiang1.li@intel.com >
Co-authored-by: Kunshang Ji <kunshang.ji@intel.com >
2024-02-01 15:46:39 -08:00
Chenhui Zhang
f780504d12
fix weigit loading for GQA with TP ( #2379 )
2024-01-15 15:43:59 -08:00
CHU Tianxiang
0fbfc4b81b
Add GPTQ support ( #916 )
2023-12-15 03:04:22 -08:00
Zhuohan Li
7076fa1c9f
TP/quantization/weight loading refactor part 2 - Refactor quantized linear logic and extend quantization support to all models ( #1622 )
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Refactor the tensor parallelism, quantization, and weight-loading codes.
Summary of the new features enabled by this PR:
- **All models** are able to be quantized with AWQ and SqueezeLLM, and [soon GPTQ](https://github.com/vllm-project/vllm/pull/1580 ).
- Model loading code became much simpler.
- Support model parallelism for all MQA/GQA models when the number of key/value heads is smaller than the tensor parallel size.
2023-11-15 22:50:41 -08:00
Antoni Baum