Cody Yu
a3a73ab069
[Misc] Load FP8 kv-cache scaling factors from checkpoints ( #4893 )
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The 2nd PR for #4532 .
This PR supports loading FP8 kv-cache scaling factors from a FP8 checkpoint (with .kv_scale parameter).
2024-05-22 13:28:20 -07:00
SangBin Cho
2e9a2227ec
[Lora] Support long context lora ( #4787 )
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Currently we need to call rotary embedding kernel for each LoRA, which makes it hard to serve multiple long context length LoRA. Add batched rotary embedding kernel and pipe it through.
It replaces the rotary embedding layer to the one that is aware of multiple cos-sin-cache per scaling factors.
Follow up of https://github.com/vllm-project/vllm/pull/3095/files
2024-05-18 16:05:23 +09:00
Woosuk Kwon
0fca3cdcf2
[Misc] Enhance attention selector ( #4751 )
2024-05-13 10:47:25 -07:00
Yikang Shen
6eaccb7353
[Model] Add support for IBM Granite Code models ( #4636 )
2024-05-11 21:27:24 -07:00
Cody Yu
a62aaf1df5
[Misc][Refactor] Generalize linear_method to be quant_method ( #4373 )
2024-04-26 16:41:14 -04:00
Caio Mendes
96e90fdeb3
[Model] Adds Phi-3 support ( #4298 )
2024-04-25 03:06:57 +00:00
Antoni Baum
69e1d2fb69
[Core] Refactor model loading code ( #4097 )
2024-04-16 11:34:39 -07:00
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
Kiran R
bc0c0192d1
[Bugfix] Enable Proper attention_bias Usage in Llama Model Configuration ( #3767 )
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Co-authored-by: roy <jasonailu87@gmail.com>
2024-04-08 19:42:35 +00:00
Adrian Abeyta
2ff767b513
Enable scaled FP8 (e4m3fn) KV cache on ROCm (AMD GPU) ( #3290 )
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Co-authored-by: Gregory Shtrasberg <Gregory.Shtrasberg@amd.com>
Co-authored-by: HaiShaw <hixiao@gmail.com>
Co-authored-by: AdrianAbeyta <Adrian.Abeyta@amd.com>
Co-authored-by: Matthew Wong <Matthew.Wong2@amd.com>
Co-authored-by: root <root@gt-pla-u18-08.pla.dcgpu>
Co-authored-by: mawong-amd <156021403+mawong-amd@users.noreply.github.com>
Co-authored-by: ttbachyinsda <ttbachyinsda@outlook.com>
Co-authored-by: guofangze <guofangze@kuaishou.com>
Co-authored-by: Michael Goin <mgoin64@gmail.com>
Co-authored-by: jacobthebanana <50071502+jacobthebanana@users.noreply.github.com>
Co-authored-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>
2024-04-03 14:15:55 -07:00
xwjiang2010
64172a976c
[Feature] Add vision language model support. ( #3042 )
2024-03-25 14:16:30 -07:00
SangBin Cho
01bfb22b41
[CI] Try introducing isort. ( #3495 )
2024-03-25 07:59:47 -07:00
Woosuk Kwon
925f3332ca
[Core] Refactor Attention Take 2 ( #3462 )
2024-03-25 04:39:33 +00:00
Roy
f1c0fc3919
Migrate logits computation and gather to model_runner ( #3233 )
2024-03-20 23:25:01 +00:00
Woosuk Kwon
2daf23ab0c
Separate attention backends ( #3005 )
2024-03-07 01:45:50 -08:00
Woosuk Kwon
929b4f2973
Add LoRA support for Gemma ( #3050 )
2024-02-28 13:03:28 -08:00
Roy
344020c926
Migrate MistralForCausalLM to LlamaForCausalLM ( #2868 )
2024-02-21 18:25:05 -08:00
Philipp Moritz
0c48b37c31
Fix internlm after https://github.com/vllm-project/vllm/pull/2860 ( #2861 )
2024-02-13 18:01:15 -08:00
Philipp Moritz
7eacffd951
Migrate InternLMForCausalLM to LlamaForCausalLM ( #2860 )
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Co-authored-by: Roy <jasonailu87@gmail.com>
2024-02-13 17:12:05 -08:00
Terry
2a543d6efe
Add LoRA support for Mixtral ( #2831 )
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* add mixtral lora support
* formatting
* fix incorrectly ported logic
* polish tests
* minor fixes and refactoring
* minor fixes
* formatting
* rename and remove redundant logic
* refactoring
* refactoring
* minor fix
* minor refactoring
* fix code smell
2024-02-14 00:55:45 +01:00
Philipp Moritz
ea356004d4
Revert "Refactor llama family models ( #2637 )" ( #2851 )
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This reverts commit 5c976a7e1a1bec875bf6474824b7dff39e38de18.
2024-02-13 09:24:59 -08:00
Roy
5c976a7e1a
Refactor llama family models ( #2637 )
2024-02-13 00:09:23 -08:00
Antoni Baum
9b945daaf1
[Experimental] Add multi-LoRA support ( #1804 )
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Co-authored-by: Chen Shen <scv119@gmail.com>
Co-authored-by: Shreyas Krishnaswamy <shrekris@anyscale.com>
Co-authored-by: Avnish Narayan <avnish@anyscale.com>
2024-01-23 15:26:37 -08:00
Zhuohan Li
fd4ea8ef5c
Use NCCL instead of ray for control-plane communication to remove serialization overhead ( #2221 )
2024-01-03 11:30:22 -08:00
Woosuk Kwon
37ca558103
Optimize model execution with CUDA graph ( #1926 )
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Co-authored-by: Chen Shen <scv119@gmail.com>
Co-authored-by: Antoni Baum <antoni.baum@protonmail.com>
2023-12-16 21:12:08 -08:00
CHU Tianxiang
0fbfc4b81b
Add GPTQ support ( #916 )
2023-12-15 03:04:22 -08:00
Woosuk Kwon
24cde76a15
[Minor] Add comment on skipping rope caches ( #2004 )
2023-12-10 10:04:12 -08:00
Jun Gao
3a8c2381f7
Fix for KeyError on Loading LLaMA ( #1978 )
2023-12-09 15:59:57 -08:00
Woosuk Kwon
27feead2f8
Refactor Worker & InputMetadata ( #1843 )
2023-11-29 22:16:37 -08:00
Woosuk Kwon
a9e4574261
Refactor Attention ( #1840 )
2023-11-29 15:37:31 -08:00
Woosuk Kwon
7c600440f7
Fix model docstrings ( #1764 )
2023-11-23 23:04:44 -08:00
Simon Mo
5ffc0d13a2
Migrate linter from pylint to ruff ( #1665 )
2023-11-20 11:58:01 -08:00
ljss
e1054247ba
[Optimization] Implement fused add rmsnorm ( #1667 )
2023-11-18 18:18:02 -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
chooper1
1f24755bf8
Support SqueezeLLM ( #1326 )
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Co-authored-by: squeeze-ai-lab <squeezeailab.bair@gmail.com>
Co-authored-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>
2023-10-21 23:14:59 -07:00
Zhuohan Li
ba0bfd40e2
TP/quantization/weight loading refactor part 1 - Simplify parallel linear logic ( #1181 )
2023-10-02 15:36:09 -07:00
Zhuohan Li
a60b353005
support sharding llama2-70b on more than 8 GPUs ( #1209 )
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Co-authored-by: JiCheng <247153481@qq.com>
2023-10-02 15:26:33 -07:00
Lily Liu
21877b0d75
Support Longchat and RoPE scaling ( #555 )
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Co-authored-by: Wing Lian <wing.lian@gmail.com>
Co-authored-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>
2023-09-27 03:36:02 -07:00
Antoni Baum
3302f0aef3
rope_theta and max_position_embeddings from config ( #1096 )
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Co-authored-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>
Co-authored-by: wnma3mz <wnma3mz@gmail.com>
2023-09-20 13:35:11 -07:00
Woosuk Kwon
cc796b1358
Convert before transpose ( #1073 )
2023-09-18 11:51:48 -07:00
Woosuk Kwon
e3e79e9e8a
Implement AWQ quantization support for LLaMA ( #1032 )
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Co-authored-by: Robert Irvine <robert@seamlessml.com>
Co-authored-by: root <rirv938@gmail.com>
Co-authored-by: Casper <casperbh.96@gmail.com>
Co-authored-by: julian-q <julianhquevedo@gmail.com>
2023-09-16 00:03:37 -07:00
Jasmond L
ab019eea75
Add Model Revision Support ( #1014 )
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Co-authored-by: Jasmond Loh <Jasmond.Loh@hotmail.com>
Co-authored-by: Zhuohan Li <zhuohan123@gmail.com>
2023-09-13 15:20:02 -07:00
Zhuohan Li
c957c741d9
Enable safetensors loading for all models ( #974 )
2023-09-07 15:49:52 -07:00
Zhuohan Li
002800f081
Align vLLM's beam search implementation with HF generate ( #857 )
2023-09-04 17:29:42 -07:00
JFDuan
0d93f15694
Accelerate LLaMA model loading ( #234 )
2023-08-30 01:00:13 -07:00
Antoni Baum
4b6f069b6f
Add support for CodeLlama ( #854 )
2023-08-25 12:44:07 -07:00
Zhuohan Li
6fc2a38b11
Add support for LLaMA-2 ( #505 )
2023-07-20 11:38:27 -07:00
panda
7b6ae94059
add vocab padding for LLama(Support WizardLM) ( #411 )
2023-07-13 23:56:22 -04:00
Zhuohan Li
d6fa1be3a8
[Quality] Add code formatter and linter ( #326 )
2023-07-03 11:31:55 -07:00
Woosuk Kwon
0b98ba15c7
Change the name to vLLM ( #150 )
2023-06-17 03:07:40 -07:00
