Support Deepseek-V2 #4650
Support Deepseek-V2 #4650
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ERROR 05-08 20:22:08 worker_base.py:145] ValueError: Model architectures ['DeepseekV2ForCausalLM'] are not supported for now. Supported architectures: ['AquilaModel', 'AquilaForCausalLM', 'BaiChuanForCausalLM', 'BaichuanForCausalLM', 'BloomForCausalLM', 'ChatGLMModel', 'ChatGLMForConditionalGeneration', 'CohereForCausalLM', 'DbrxForCausalLM', 'DeciLMForCausalLM', 'DeepseekForCausalLM', 'FalconForCausalLM', 'GemmaForCausalLM', 'GPT2LMHeadModel', 'GPTBigCodeForCausalLM', 'GPTJForCausalLM', 'GPTNeoXForCausalLM', 'InternLMForCausalLM', 'InternLM2ForCausalLM', 'JAISLMHeadModel', 'LlamaForCausalLM', 'LlavaForConditionalGeneration', 'LLaMAForCausalLM', 'MistralForCausalLM', 'MixtralForCausalLM', 'QuantMixtralForCausalLM', 'MptForCausalLM', 'MPTForCausalLM', 'MiniCPMForCausalLM', 'OlmoForCausalLM', 'OPTForCausalLM', 'OrionForCausalLM', 'PhiForCausalLM', 'Phi3ForCausalLM', 'QWenLMHeadModel', 'Qwen2ForCausalLM', 'Qwen2MoeForCausalLM', 'RWForCausalLM', 'StableLMEpochForCausalLM', 'StableLmForCausalLM', 'Starcoder2ForCausalLM', 'XverseForCausalLM'] |
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it seems the model architecture is not supported in vLLM |
What's the reason it is not supported in this PR? |
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Hi, with only MHA, is it possible to realize max_model_len = 128k? In my test, may only 12k. |
The internal inference implementation supports MLA. The implementation on vLLM is more about making it support quickly and matching the model parameters with the code. So the efficiency of using it for LLM Serving is not high enough. I think maybe the current PR could be quickly reviewed and merged asap. Subsequent communities can consider implementing an integrated version. |
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Hi @zwd003 May you merge the latest main branch and fix the conflicts? Thanks. |
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请问一下目前是否有在开发支持MLA吗 |
ok |
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HI @zwd003 This error occurred during the deployment process. How to solve it? Thanks! (RayWorkerWrapper pid=52311) ERROR 05-11 18:04:33 worker_base.py:145] File "/opt/vllm/vllm/model_executor/models/deepseek_v2.py", line 156, in forward |
I encountered the same error |
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Thanks! :D |
hello,I encountered this error when the QPS was increased to 2. |
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Could you show me lines about KV compression? Thanks. |
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加载模型时报如下错误： Cache shape torch.Size([163840, 64]) [repeated 6x across cluster] Process finished with exit code 1 |
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any update? looking forward to it.. |
vllm/config.py
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| @@ -250,6 +250,9 @@ def get_hidden_size(self) -> int: | |||
| return self.hf_text_config.hidden_size | |||
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| def get_head_size(self) -> int: | |||
| if hasattr(self.hf_text_config, "model_type") and self.hf_text_config.model_type=='deepseek_v2': | |||
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Can you add the head_dim to the huggingface config instead of hard coding this here?
# e.g. CUDA 11.8 Python 3.9
pip3 install https://github.com/zhyncs/lmdeploy-build/releases/download/e21eaa0/lmdeploy-0.4.2+cu118+e21eaa0-cp39-cp39-manylinux2014_x86_64.whl
# download https://huggingface.co/deepseek-ai/DeepSeek-V2-Lite-Chat
# https://huggingface.co/deepseek-ai/DeepSeek-V2-Chat needs tp 8
# server with PyTorch backend
python3 -m lmdeploy serve api_server DeepSeek-V2-Lite-Chat --backend pytorch
# use https://github.com/vllm-project/vllm/blob/main/benchmarks/benchmark_serving.py for benchmark
python3 benchmark_serving.py --backend lmdeploy --host 127.0.0.1 --port 23333 --dataset ShareGPT_V3_unfiltered_cleaned_split.json --model DeepSeek-V2-Lite --tokenizer DeepSeek-V2-Lite --num-prompts 1000 --request-rate 128 |
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merge please. |
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I tested the model out locally with In [1]: from vllm import LLM, SamplingParams
In [2]: llm = LLM(model="deepseek-ai/DeepSeek-V2-Lite", trust_remote_code=True, max_model_len=32000)
INFO 06-27 21:53:52 llm_engine.py:164] Initializing an LLM engine (v0.5.0.post1) with config: model='deepseek-ai/DeepSeek-V2-Lite', speculative_config=None, tokenizer='deepseek-ai/DeepSeek-V2-Lite', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, rope_scaling=None, rope_theta=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32000, download_dir=None, load_format=LoadFormat.AUTO, tensor_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto, quantization_param_path=None, device_config=cuda, decoding_config=DecodingConfig(guided_decoding_backend='outlines'), observability_config=ObservabilityConfig(otlp_traces_endpoint=None), seed=0, served_model_name=deepseek-ai/DeepSeek-V2-Lite)
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
Cache shape torch.Size([163840, 64])
INFO 06-27 21:53:57 weight_utils.py:218] Using model weights format ['*.safetensors']
INFO 06-27 21:54:03 model_runner.py:225] Loading model weights took 29.3010 GB
INFO 06-27 21:54:05 gpu_executor.py:83] # GPU blocks: 5549, # CPU blocks: 606
INFO 06-27 21:54:08 model_runner.py:840] Capturing the model for CUDA graphs. This may lead to unexpected consequences if the model is not static. To run the model in eager mode, set 'enforce_eager=True' or use '--enforce-eager' in the CLI.
INFO 06-27 21:54:08 model_runner.py:844] CUDA graphs can take additional 1~3 GiB memory per GPU. If you are running out of memory, consider decreasing `gpu_memory_utilization` or enforcing eager mode. You can also reduce the `max_num_seqs` as needed to decrease memory usage.
INFO 06-27 21:54:19 model_runner.py:916] Graph capturing finished in 11 secs.
In [3]: prompts = [
...: "Hello, my name is",
...: "The president of the United States is",
...: "The capital of France is",
...: "The future of AI is",
...: ]
...: sampling_params = SamplingParams(temperature=0.8, top_p=0.95)
In [4]: outputs = llm.generate(prompts, sampling_params)
...:
...: # Print the outputs.
...: for output in outputs:
...: prompt = output.prompt
...: generated_text = output.outputs[0].text
...: print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
...:
Processed prompts: 100%|████████████████████████████████████████████████████████████████████| 4/4 [00:00<00:00, 17.00it/s, est. speed input: 110.49 toks/s, output: 271.98 toks/s]
Prompt: 'Hello, my name is', Generated text: ' Ailsa. I am 59 years old and was diagnosed with Amy'
Prompt: 'The president of the United States is', Generated text: ' a candidate for the presidency of the United States.\nA man who stands for'
Prompt: 'The capital of France is', Generated text: ' Paris. It is the country’s largest city and home to more than '
Prompt: 'The future of AI is', Generated text: ' not going to be some ‘universal intelligence’. It’s going to' |
May you conduct a benchmark for the current implementation? Thanks! |
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@zhyncs Here are some performance numbers I believe this could be improved by implementing https://github.com/vllm-project/vllm/pull/4650/files#r1608947860 -- would you like to contribute that after the PR is merged? |
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To speed up the CI queue, I've cancelled the distributed tests for the latest CI run in this PR since they won't pass anyway until #5905 has been merged. Now that it has been merged, please merge |
Co-authored-by: Philipp Moritz <[email protected]>
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i am running vllm on 4 A100 each 80Gb. When i run, i get the following error. |
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May I ask when the .whl will be released? |
Co-authored-by: Philipp Moritz <[email protected]>
Co-authored-by: Philipp Moritz <[email protected]>
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Does anybody have this error? Looking for help. Not sure what's happening here.
This is the full error log. This error sometimes happens but sometimes not after running the example code above. So it's kind of weird.
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* [Hardware][Intel] Optimize CPU backend and add more performance tips (vllm-project#4971) Co-authored-by: Jianan Gu <[email protected]> * [Docs] Add 4th meetup slides (vllm-project#5509) * [Misc] Add vLLM version getter to utils (vllm-project#5098) * [CI/Build] Simplify OpenAI server setup in tests (vllm-project#5100) * [Doc] Update LLaVA docs (vllm-project#5437) Co-authored-by: Roger Wang <[email protected]> * [Kernel] Factor out epilogues from cutlass kernels (vllm-project#5391) Co-authored-by: Michael Goin <[email protected]> Co-authored-by: youkaichao <[email protected]> Co-authored-by: zifeitong <[email protected]> Co-authored-by: Robert Shaw <[email protected]> * [MISC] Remove FP8 warning (vllm-project#5472) Co-authored-by: Philipp Moritz <[email protected]> * Seperate dev requirements into lint and test (vllm-project#5474) * Revert "[Core] Remove unnecessary copies in flash attn backend" (vllm-project#5478) * [misc] fix format.sh (vllm-project#5511) * [CI/Build] Disable test_fp8.py (vllm-project#5508) * [Kernel] Disable CUTLASS kernels for fp8 (vllm-project#5505) * Add `cuda_device_count_stateless` (vllm-project#5473) * [Hardware][Intel] Support CPU inference with AVX2 ISA (vllm-project#5452) * [Misc] Fix arg names in quantizer script (vllm-project#5507) * bump version to v0.5.0.post1 (vllm-project#5522) * [CI/Build][Misc] Add CI that benchmarks vllm performance on those PRs with `perf-benchmarks` label (vllm-project#5073) Co-authored-by: simon-mo <[email protected]> * [CI/Build] Disable LLaVA-NeXT CPU test (vllm-project#5529) * [Kernel] Fix CUTLASS 3.x custom broadcast load epilogue (vllm-project#5516) * [Misc] Fix arg names (vllm-project#5524) * [ Misc ] Rs/compressed tensors cleanup (vllm-project#5432) Co-authored-by: mgoin <[email protected]> Co-authored-by: Dipika Sikka <[email protected]> * [Kernel] Suppress mma.sp warning on CUDA 12.5 and later (vllm-project#5401) * [mis] fix flaky test of test_cuda_device_count_stateless (vllm-project#5546) * [Core] Remove duplicate processing in async engine (vllm-project#5525) * [misc][distributed] fix benign error in `is_in_the_same_node` (vllm-project#5512) * [Docs] Add ZhenFund as a Sponsor (vllm-project#5548) * [Doc] Update documentation on Tensorizer (vllm-project#5471) * [Bugfix] Enable loading FP8 checkpoints for gpt_bigcode models (vllm-project#5460) Signed-off-by: Thomas Parnell <[email protected]> * [Bugfix] Fix typo in Pallas backend (vllm-project#5558) * [Core][Distributed] improve p2p cache generation (vllm-project#5528) * Add ccache to amd (vllm-project#5555) * [Core][Bugfix]: fix prefix caching for blockv2 (vllm-project#5364) Signed-off-by: Lei Wen <[email protected]> Co-authored-by: Lei Wen <[email protected]> * [mypy] Enable type checking for test directory (vllm-project#5017) * [CI/Build] Test both text and token IDs in batched OpenAI Completions API (vllm-project#5568) * [misc] Do not allow to use lora with chunked prefill. (vllm-project#5538) Co-authored-by: Cyrus Leung <[email protected]> * add gptq_marlin test for bug report vllm-project#5088 (vllm-project#5145) * [BugFix] Don't start a Ray cluster when not using Ray (vllm-project#5570) * [Fix] Correct OpenAI batch response format (vllm-project#5554) * Add basic correctness 2 GPU tests to 4 GPU pipeline (vllm-project#5518) * [CI][BugFix] Flip is_quant_method_supported condition (vllm-project#5577) * [build][misc] limit numpy version (vllm-project#5582) * [Doc] add debugging tips for crash and multi-node debugging (vllm-project#5581) * Fix w8a8 benchmark and add Llama-3-8B (vllm-project#5562) * [Model] Rename Phi3 rope scaling type (vllm-project#5595) * Correct alignment in the seq_len diagram. (vllm-project#5592) Co-authored-by: Liqian Chen <[email protected]> * [Kernel] `compressed-tensors` marlin 24 support (vllm-project#5435) * [Misc] use AutoTokenizer for benchmark serving when vLLM not installed (vllm-project#5588) * [Hardware][Intel GPU] Add Intel GPU(XPU) inference backend (vllm-project#3814) Co-authored-by: Jiang Li <[email protected]> Co-authored-by: Abhilash Majumder <[email protected]> Co-authored-by: Abhilash Majumder <[email protected]> * [CI/BUILD] Support non-AVX512 vLLM building and testing (vllm-project#5574) * [CI] the readability of benchmarking and prepare for dashboard (vllm-project#5571) [CI] Improve the readability of performance benchmarking results and prepare for upcoming performance dashboard (vllm-project#5571) * [bugfix][distributed] fix 16 gpus local rank arrangement (vllm-project#5604) * [Optimization] use a pool to reuse LogicalTokenBlock.token_ids (vllm-project#5584) * [Bugfix] Fix KV head calculation for MPT models when using GQA (vllm-project#5142) * [Fix] Use utf-8 encoding in entrypoints/openai/run_batch.py (vllm-project#5606) * [Speculative Decoding 1/2 ] Add typical acceptance sampling as one of the sampling techniques in the verifier (vllm-project#5131) * [Model] Initialize Phi-3-vision support (vllm-project#4986) * [Kernel] Add punica dimensions for Granite 13b (vllm-project#5559) Signed-off-by: Joe Runde <[email protected]> * [misc][typo] fix typo (vllm-project#5620) * [Misc] Fix typo (vllm-project#5618) * [CI] Avoid naming different metrics with the same name in performance benchmark (vllm-project#5615) * [bugfix][distributed] improve p2p capability test (vllm-project#5612) [bugfix][distributed] do not error if two processes do not agree on p2p capability (vllm-project#5612) * [Misc] Remove import from transformers logging (vllm-project#5625) * [CI/Build][Misc] Update Pytest Marker for VLMs (vllm-project#5623) * [ci] Deprecate original CI template (vllm-project#5624) Signed-off-by: kevin <[email protected]> * [Misc] Add OpenTelemetry support (vllm-project#4687) This PR adds basic support for OpenTelemetry distributed tracing. It includes changes to enable tracing functionality and improve monitoring capabilities. I've also added a markdown with print-screens to guide users how to use this feature. You can find it here * [Misc] Add channel-wise quantization support for w8a8 dynamic per token activation quantization (vllm-project#5542) * [ci] Setup Release pipeline and build release wheels with cache (vllm-project#5610) Signed-off-by: kevin <[email protected]> * [Model] LoRA support added for command-r (vllm-project#5178) * [Bugfix] Fix for inconsistent behaviour related to sampling and repetition penalties (vllm-project#5639) Signed-off-by: Thomas Parnell <[email protected]> * [Doc] Added cerebrium as Integration option (vllm-project#5553) * [Bugfix] Fix CUDA version check for mma warning suppression (vllm-project#5642) * [Bugfix] Fix w8a8 benchmarks for int8 case (vllm-project#5643) * [Bugfix] Fix Phi-3 Long RoPE scaling implementation (vllm-project#5628) * [Bugfix] Added test for sampling repetition penalty bug. (vllm-project#5659) Signed-off-by: Thomas Parnell <[email protected]> * [Bugfix][CI/Build][AMD][ROCm]Fixed the cmake build bug which generate garbage on certain devices (vllm-project#5641) * [misc][distributed] use 127.0.0.1 for single-node (vllm-project#5619) * [Model] Add FP8 kv cache for Qwen2 (vllm-project#5656) * [Bugfix] Fix sampling_params passed incorrectly in Phi3v example (vllm-project#5684) * [Misc]Add param max-model-len in benchmark_latency.py (vllm-project#5629) * [CI/Build] Add tqdm to dependencies (vllm-project#5680) * [ci] Add A100 queue into AWS CI template (vllm-project#5648) Signed-off-by: kevin <[email protected]> * [Frontend][Bugfix] Fix preemption_mode -> preemption-mode for CLI arg in arg_utils.py (vllm-project#5688) * [ci][distributed] add tests for custom allreduce (vllm-project#5689) * [Bugfix] AsyncLLMEngine hangs with asyncio.run (vllm-project#5654) * [Doc] Update docker references (vllm-project#5614) Signed-off-by: Rafael Vasquez <[email protected]> * [Misc] Add per channel support for static activation quantization; update w8a8 schemes to share base classes (vllm-project#5650) * [ci] Limit num gpus if specified for A100 (vllm-project#5694) Signed-off-by: kevin <[email protected]> * [Misc] Improve conftest (vllm-project#5681) * [Bugfix][Doc] FIx Duplicate Explicit Target Name Errors (vllm-project#5703) * [Kernel] Update Cutlass int8 kernel configs for SM90 (vllm-project#5514) Co-authored-by: Varun Sundar Rabindranath <[email protected]> * [Model] Port over CLIPVisionModel for VLMs (vllm-project#5591) * [Kernel] Update Cutlass int8 kernel configs for SM80 (vllm-project#5275) Co-authored-by: Varun Sundar Rabindranath <[email protected]> * [Bugfix] Fix the CUDA version check for FP8 support in the CUTLASS kernels (vllm-project#5715) * [Frontend] Add FlexibleArgumentParser to support both underscore and dash in names (vllm-project#5718) * [distributed][misc] use fork by default for mp (vllm-project#5669) * [Model] MLPSpeculator speculative decoding support (vllm-project#4947) Signed-off-by: Thomas Parnell <[email protected]> Co-authored-by: Thomas Parnell <[email protected]> Co-authored-by: Nick Hill <[email protected]> Co-authored-by: Davis Wertheimer <[email protected]> * [Kernel] Add punica dimension for Qwen2 LoRA (vllm-project#5441) * [BugFix] Fix test_phi3v.py (vllm-project#5725) * [Bugfix] Add fully sharded layer for QKVParallelLinearWithLora (vllm-project#5665) Co-authored-by: Antoni Baum <[email protected]> * [Core][Distributed] add shm broadcast (vllm-project#5399) Co-authored-by: Cody Yu <[email protected]> * [Kernel][CPU] Add Quick `gelu` to CPU (vllm-project#5717) * [Doc] Documentation on supported hardware for quantization methods (vllm-project#5745) * [BugFix] exclude version 1.15.0 for modelscope (vllm-project#5668) * [ci][test] fix ca test in main (vllm-project#5746) * [LoRA] Add support for pinning lora adapters in the LRU cache (vllm-project#5603) * [CI][Hardware][Intel GPU] add Intel GPU(XPU) ci pipeline (vllm-project#5616) * [Model] Support Qwen-VL and Qwen-VL-Chat models with text-only inputs (vllm-project#5710) Co-authored-by: Roger Wang <[email protected]> * [Misc] Remove vllm-project#4789 workaround left in vllm/entrypoints/openai/run_batch.py (vllm-project#5756) * [Bugfix] Fix pin_lora error in TPU executor (vllm-project#5760) * [Docs][TPU] Add installation tip for TPU (vllm-project#5761) * [core][distributed] improve shared memory broadcast (vllm-project#5754) * [BugFix] [Kernel] Add Cutlass2x fallback kernels (vllm-project#5744) Co-authored-by: Varun Sundar Rabindranath <[email protected]> * [Distributed] Add send and recv helpers (vllm-project#5719) * [Bugfix] Add phi3v resize for dynamic shape and fix torchvision requirement (vllm-project#5772) * [doc][faq] add warning to download models for every nodes (vllm-project#5783) * post-rebase api adjustments * [Doc] Add "Suggest edit" button to doc pages (vllm-project#5789) * [Doc] Add Phi-3-medium to list of supported models (vllm-project#5788) * [Bugfix] Fix FlexibleArgumentParser replaces _ with - for actual args (vllm-project#5795) * [ci] Remove aws template (vllm-project#5757) Signed-off-by: kevin <[email protected]> * [Doc] Add notice about breaking changes to VLMs (vllm-project#5818) * [Speculative Decoding] Support draft model on different tensor-parallel size than target model (vllm-project#5414) * add pin_lora to habana components * add WA for model loader * fix api mismatches with ray * tensor parallel fixes * workers cpu alignment fix * [Misc] Remove useless code in cpu_worker (vllm-project#5824) * prefill/decode metadata fixes * [Core] Add fault tolerance for `RayTokenizerGroupPool` (vllm-project#5748) * re-enable attn metadata trimming * worker_use_ray fix * [doc][distributed] add both gloo and nccl tests (vllm-project#5834) * [CI/Build] Add unit testing for FlexibleArgumentParser (vllm-project#5798) * [Misc] Update `w4a16` `compressed-tensors` support to include `w8a16` (vllm-project#5794) * [Hardware][TPU] Refactor TPU backend (vllm-project#5831) * [Hardware][AMD][CI/Build][Doc] Upgrade to ROCm 6.1, Dockerfile improvements, test fixes (vllm-project#5422) * [Hardware][TPU] Raise errors for unsupported sampling params (vllm-project#5850) * [CI/Build] Add E2E tests for MLPSpeculator (vllm-project#5791) Signed-off-by: Thomas Parnell <[email protected]> * [Bugfix] Fix assertion in NeuronExecutor (vllm-project#5841) * [Core] Refactor Worker and ModelRunner to consolidate control plane communication (vllm-project#5408) Signed-off-by: Stephanie Wang <[email protected]> Signed-off-by: Stephanie <[email protected]> Co-authored-by: Stephanie <[email protected]> * [Misc][Doc] Add Example of using OpenAI Server with VLM (vllm-project#5832) * [bugfix][distributed] fix shm broadcast when the queue size is full (vllm-project#5801) * [Bugfix] Fix embedding to support 2D inputs (vllm-project#5829) * [Bugfix][TPU] Fix KV cache size calculation (vllm-project#5860) * [CI/Build] Refactor image test assets (vllm-project#5821) * [Kernel] Adding bias epilogue support for `cutlass_scaled_mm` (vllm-project#5560) Co-authored-by: Chih-Chieh-Yang <[email protected]> Co-authored-by: Lucas Wilkinson <[email protected]> * [Frontend] Add tokenize/detokenize endpoints (vllm-project#5054) * [Hardware][TPU] Support parallel sampling & Swapping (vllm-project#5855) * [Bugfix][TPU] Fix CPU cache allocation (vllm-project#5869) * Support CPU inference with VSX PowerPC ISA (vllm-project#5652) * [doc] update usage of env var to avoid conflict (vllm-project#5873) * [Misc] Add example for LLaVA-NeXT (vllm-project#5879) * [BugFix] Fix cuda graph for MLPSpeculator (vllm-project#5875) Co-authored-by: Abhinav Goyal <[email protected]> * [Doc] Add note about context length in Phi-3-Vision example (vllm-project#5887) * [VLM][Bugfix] Make sure that `multi_modal_kwargs` is broadcasted properly (vllm-project#5880) Signed-off-by: Xiaowei Jiang <[email protected]> * [Model] Add base class for LoRA-supported models (vllm-project#5018) * [Bugfix] Fix img_sizes Parsing in Phi3-Vision (vllm-project#5888) * [CI/Build] [1/3] Reorganize entrypoints tests (vllm-project#5526) * add collective crash WA * add comment to the weird mark_step * [Model][Bugfix] Implicit model flags and reenable Phi-3-Vision (vllm-project#5896) * [doc][misc] add note for Kubernetes users (vllm-project#5916) * [BugFix] Fix `MLPSpeculator` handling of `num_speculative_tokens` (vllm-project#5876) * [BugFix] Fix `min_tokens` behaviour for multiple eos tokens (vllm-project#5849) * [CI/Build] Fix Args for `_get_logits_warper` in Sampler Test (vllm-project#5922) * [Model] Add Gemma 2 (vllm-project#5908) * [core][misc] remove logical block (vllm-project#5882) * [Kernel][ROCm][AMD] fused_moe Triton configs v2 for mi300X (vllm-project#5932) * [Hardware][TPU] Optimize KV cache swapping (vllm-project#5878) * [VLM][BugFix] Make sure that `multi_modal_kwargs` can broadcast properly with ring buffer. (vllm-project#5905) Signed-off-by: Xiaowei Jiang <[email protected]> Co-authored-by: Roger Wang <[email protected]> * [Bugfix][Hardware][Intel CPU] Fix unpassed multi_modal_kwargs for CPU runner (vllm-project#5956) * [Core] Registry for processing model inputs (vllm-project#5214) Co-authored-by: ywang96 <[email protected]> * Unmark fused_moe config json file as executable (vllm-project#5960) * [Hardware][Intel] OpenVINO vLLM backend (vllm-project#5379) * [Bugfix] Better error message for MLPSpeculator when `num_speculative_tokens` is set too high (vllm-project#5894) Signed-off-by: Thomas Parnell <[email protected]> * [CI/Build] [2/3] Reorganize entrypoints tests (vllm-project#5904) * [Distributed] Make it clear that % should not be in tensor dict keys. (vllm-project#5927) Signed-off-by: Xiaowei Jiang <[email protected]> * [Spec Decode] Introduce DraftModelRunner (vllm-project#5799) * [Bugfix] Fix compute datatype for cutlass 3.x epilogues (vllm-project#5931) * [ Misc ] Remove `fp8_shard_indexer` from Col/Row Parallel Linear (Simplify Weight Loading) (vllm-project#5928) Co-authored-by: Robert Shaw <rshaw@neuralmagic> * [ Bugfix ] Enabling Loading Models With Fused QKV/MLP on Disk with FP8 (vllm-project#5921) Co-authored-by: Robert Shaw <rshaw@neuralmagic> * Support Deepseek-V2 (vllm-project#4650) Co-authored-by: Philipp Moritz <[email protected]> * [Bugfix] Only add `Attention.kv_scale` if kv cache quantization is enabled (vllm-project#5936) * Unmark more files as executable (vllm-project#5962) * [Bugfix] Fix Engine Failing After Invalid Request - AsyncEngineDeadError (vllm-project#5963) Co-authored-by: Robert Shaw <rshaw@neuralmagic> * [Kernel] Flashinfer for prefill & decode, with Cudagraph support for decode (vllm-project#4628) Co-authored-by: LiuXiaoxuanPKU <[email protected]>, bong-furiosa <[email protected]> * [Bugfix][TPU] Fix TPU sampler output (vllm-project#5978) * [Bugfix][TPU] Fix pad slot id (vllm-project#5977) * [Bugfix] fix missing last itl in openai completions benchmark (vllm-project#5926) * [Misc] Extend vLLM Metrics logging API (vllm-project#5925) Co-authored-by: Antoni Baum <[email protected]> * [Kernel] Add punica dimensions for Granite 3b and 8b (vllm-project#5930) Signed-off-by: Joe Runde <[email protected]> * [Bugfix] Fix precisions in Gemma 1 (vllm-project#5913) * [Misc] Update Phi-3-Vision Example (vllm-project#5981) Co-authored-by: Cyrus Leung <[email protected]> * [Bugfix] Support `eos_token_id` from `config.json` (vllm-project#5954) * [Core] Optimize `SequenceStatus.is_finished` by switching to IntEnum (vllm-project#5974) * [Kernel] Raise an exception in MoE kernel if the batch size is larger then 65k (vllm-project#5939) * [ CI/Build ] Added E2E Test For Compressed Tensors (vllm-project#5839) Co-authored-by: Michael Goin <[email protected]> Co-authored-by: Robert Shaw <rshaw@neuralmagic> * [CI/Build] Add TP test for vision models (vllm-project#5892) * [ CI/Build ] LM Eval Harness Based CI Testing (vllm-project#5838) Co-authored-by: Robert Shaw <rshaw@neuralmagic> * [Bugfix][CI/Build][Hardware][AMD] Install matching torchvision to fix AMD tests (vllm-project#5949) * [CI/Build] Temporarily Remove Phi3-Vision from TP Test (vllm-project#5989) * [CI/Build] Reuse code for checking output consistency (vllm-project#5988) * [CI/Build] [3/3] Reorganize entrypoints tests (vllm-project#5966) * [ci][distributed] fix device count call [ci][distributed] fix some cuda init that makes it necessary to use spawn (vllm-project#5991) * [Frontend]: Support base64 embedding (vllm-project#5935) Co-authored-by: Cyrus Leung <[email protected]> * [Lora] Use safetensor keys instead of adapter_config.json to find unexpected modules. (vllm-project#5909) Co-authored-by: sang <[email protected]> * [ CI ] Temporarily Disable Large LM-Eval Tests (vllm-project#6005) Co-authored-by: [email protected] <rshaw@neuralmagic> * [Misc] Fix `get_min_capability` (vllm-project#5971) * [ Misc ] Refactor w8a8 to use `process_weights_after_load` (Simplify Weight Loading) (vllm-project#5940) Co-authored-by: Robert Shaw <rshaw@neuralmagic> * [misc][cuda] use nvml to avoid accidentally cuda initialization (vllm-project#6007) * [Speculative Decoding 2/2 ] Integrate typical acceptance sampler into Spec Decode Worker (vllm-project#5348) * Revert test changes * cleanup * llm engine cleanup * utils.py cleanup * custom ops refactor * move xops to ops * remove vllm/hpu/attn_bias.py * whitespace fix * revert accidental changes in rmsnorm * Fix hpugraph hashing * add trim_attn_metadata comment * fix prompt bucketing: * [ CI ] Re-enable Large Model LM Eval (vllm-project#6031) * [doc][misc] remove deprecated api server in doc (vllm-project#6037) * [Misc] update benchmark backend for scalellm (vllm-project#6018) * [doc][misc] further lower visibility of simple api server (vllm-project#6041) Co-authored-by: Simon Mo <[email protected]> * [Bugfix] Use RayActorError for older versions of Ray in RayTokenizerGroupPool (vllm-project#6039) * [Bugfix] adding chunking mechanism to fused_moe to handle large inputs (vllm-project#6029) * add FAQ doc under 'serving' (vllm-project#5946) * [Bugfix][Doc] Fix Doc Formatting (vllm-project#6048) * [Bugfix] Add explicit `end_forward` calls to flashinfer (vllm-project#6044) * [BugFix] Ensure worker model loop is always stopped at the right time (vllm-project#5987) * [Frontend] Relax api url assertion for openai benchmarking (vllm-project#6046) * [Model] Changes to MLPSpeculator to support tie_weights and input_scale (vllm-project#5965) Signed-off-by: Thomas Parnell <[email protected]> Co-authored-by: Joshua Rosenkranz <[email protected]> * [Core] Optimize block_manager_v2 vs block_manager_v1 (to make V2 default) (vllm-project#5602) * [Frontend] Add template related params to request (vllm-project#5709) * [VLM] Remove `image_input_type` from VLM config (vllm-project#5852) Signed-off-by: Xiaowei Jiang <[email protected]> Co-authored-by: Cyrus Leung <[email protected]> Co-authored-by: Roger Wang <[email protected]> * [Doc] Reinstate doc dependencies (vllm-project#6061) * guard model loader wa for hpu --------- Signed-off-by: Thomas Parnell <[email protected]> Signed-off-by: Lei Wen <[email protected]> Signed-off-by: Joe Runde <[email protected]> Signed-off-by: kevin <[email protected]> Signed-off-by: Rafael Vasquez <[email protected]> Signed-off-by: Stephanie Wang <[email protected]> Signed-off-by: Stephanie <[email protected]> Signed-off-by: Xiaowei Jiang <[email protected]> Signed-off-by: Joe Runde <[email protected]> Co-authored-by: Li, Jiang <[email protected]> Co-authored-by: Jianan Gu <[email protected]> Co-authored-by: Woosuk Kwon <[email protected]> Co-authored-by: Cyrus Leung <[email protected]> Co-authored-by: Roger Wang <[email protected]> Co-authored-by: Tyler Michael Smith <[email protected]> Co-authored-by: Michael Goin <[email protected]> Co-authored-by: youkaichao <[email protected]> Co-authored-by: zifeitong <[email protected]> Co-authored-by: Robert Shaw <[email protected]> Co-authored-by: Cody Yu <[email protected]> Co-authored-by: Philipp Moritz <[email protected]> Co-authored-by: Antoni Baum <[email protected]> Co-authored-by: Jie Fu (傅杰) <[email protected]> Co-authored-by: Allen.Dou <[email protected]> Co-authored-by: Simon Mo <[email protected]> Co-authored-by: Kuntai Du <[email protected]> Co-authored-by: Dipika Sikka <[email protected]> Co-authored-by: Sanger Steel <[email protected]> Co-authored-by: Thomas Parnell <[email protected]> Co-authored-by: leiwen83 <[email protected]> Co-authored-by: Lei Wen <[email protected]> Co-authored-by: SangBin Cho <[email protected]> Co-authored-by: Alexander Matveev <[email protected]> Co-authored-by: Nick Hill <[email protected]> Co-authored-by: Amit Garg <[email protected]> Co-authored-by: Charles Riggins <[email protected]> Co-authored-by: Liqian Chen <[email protected]> Co-authored-by: zhyncs <[email protected]> Co-authored-by: Kunshang Ji <[email protected]> Co-authored-by: Abhilash Majumder <[email protected]> Co-authored-by: Abhilash Majumder <[email protected]> Co-authored-by: Bruce Fontaine <[email protected]> Co-authored-by: zifeitong <[email protected]> Co-authored-by: sroy745 <[email protected]> Co-authored-by: Isotr0py <[email protected]> Co-authored-by: Joe Runde <[email protected]> Co-authored-by: Chang Su <[email protected]> Co-authored-by: Roger Wang <[email protected]> Co-authored-by: Kevin H. Luu <[email protected]> Co-authored-by: Ronen Schaffer <[email protected]> Co-authored-by: sergey-tinkoff <[email protected]> Co-authored-by: milo157 <[email protected]> Co-authored-by: Shukant Pal <[email protected]> Co-authored-by: Hongxia Yang <[email protected]> Co-authored-by: DearPlanet <[email protected]> Co-authored-by: Rafael Vasquez <[email protected]> Co-authored-by: Varun Sundar Rabindranath <[email protected]> Co-authored-by: Varun Sundar Rabindranath <[email protected]> Co-authored-by: Joshua Rosenkranz <[email protected]> Co-authored-by: Davis Wertheimer <[email protected]> Co-authored-by: Jinzhen Lin <[email protected]> Co-authored-by: Jee Li <[email protected]> Co-authored-by: rohithkrn <[email protected]> Co-authored-by: Murali Andoorveedu <[email protected]> Co-authored-by: Woo-Yeon Lee <[email protected]> Co-authored-by: Matt Wong <[email protected]> Co-authored-by: aws-patlange <[email protected]> Co-authored-by: Stephanie Wang <[email protected]> Co-authored-by: Stephanie <[email protected]> Co-authored-by: Luka Govedič <[email protected]> Co-authored-by: Chih-Chieh-Yang <[email protected]> Co-authored-by: Lucas Wilkinson <[email protected]> Co-authored-by: sasha0552 <[email protected]> Co-authored-by: Chip Kerchner <[email protected]> Co-authored-by: Abhinav Goyal <[email protected]> Co-authored-by: xwjiang2010 <[email protected]> Co-authored-by: Divakar Verma <[email protected]> Co-authored-by: Ilya Lavrenov <[email protected]> Co-authored-by: Robert Shaw <rshaw@neuralmagic> Co-authored-by: wangding zeng <[email protected]> Co-authored-by: Lily Liu <[email protected]> Co-authored-by: LiuXiaoxuanPKU <[email protected]>, bong-furiosa <[email protected]> Co-authored-by: mcalman <[email protected]> Co-authored-by: William Lin <[email protected]> Co-authored-by: Cyrus Leung <[email protected]> Co-authored-by: llmpros <[email protected]> Co-authored-by: sang <[email protected]> Co-authored-by: Avshalom Manevich <[email protected]> Co-authored-by: James Whedbee <[email protected]> Co-authored-by: Joshua Rosenkranz <[email protected]> Co-authored-by: danieljannai21 <[email protected]>
Description:
This PR introduces support for the recently released DeepSeek-V2 model by DeepSeek-AI.
Key Updates:
Related Resources:
Todo:
We look forward to community feedback and suggestions to help us continuously improve and refine the integration and inference implementation of the DeepSeek-V2 model.
Testing
Note: Currently, only the inference method using the Multi-Head Attention (MHA) approach has been implemented, and the efficient inference mode mentioned in the paper has not yet been realized.