Comments (2)
cc @zhuohan123
from vllm.
We have done a lot tests with Qwen1.5-4B and 51 input tokens and 11 output tokens in RTX 3090. The results are:
1)Under 50 qps, prefix-caching doesn't speedup prefill phase.
2) From 50qps to 100qps, the first token latency increase from 90ms to 360ms with non prefix-caching, the first token latency increase a little from 90ms to 110ms with prefix-caching。
3) For GPU Utilization, there are 20%-50% benefits from 50 qps to 100qps。
from vllm.
Related Issues (20)
- [Feature]: Request for Ascend NPU support HOT 2
- [Bug]: vLLM 0.5.1 tensor parallel 2 hang HOT 12
- stream_options.include_usage does not work HOT 1
- gfx908 architecture not working for version 0.5.1 HOT 3
- [Bug]: llava model gets stuck with RuntimeError: Please increase the max_chunk_bytes parameter. HOT 3
- [RFC]: A Graph Optimization System in vLLM using torch.compile HOT 2
- [Bug]: Runtime AssertionError: 32768 is not divisible by 3, multiproc_worker_utils.py:120, when using 3 GPUs for tensor-parallel HOT 6
- [Bug]: Problem loading Gemma 2 27b-it HOT 1
- [Bug]: Gemma-2 + FlashInfer: ValueError: Unsupported max_frags_z:
- [Misc]: _run_workers_async function of DistributedGPUExecutorAsync HOT 1
- when i set tensor_parallel_size>1(A100 * 4), it does not work HOT 8
- [Bug]: `samplers/test_logprobs.py` fail on H100
- [Bug]: Timeout Error When Deploying Llamafied InternLM2-5-7B-Chat-1M Model via vLLM OpenAI API Server
- [Feature]: Apply chat template through `LLM` class HOT 11
- [Bug]: When using qwen-32b-chat-awq with multi-threaded access, errors occur after approximately several hundred visits.”vllm.engine.async_llm_engine.AsyncEngineDeadError: Background loop has errored already.“ HOT 1
- [Feature]: Return softmax of attention layer. HOT 3
- [Bug]: Paligemma support for PNG files HOT 5
- [Bug]: illegal memory access when increase max_model_length on FP8 models HOT 6
- [Bug]: autogen can't work with vllm v0.5.1
- v0.5.2, v0.5.3, v0.6.0 Release Tracker HOT 5
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from vllm.