Comments (1)
Hey @zhyncs! First of all thanks for the feedback on benchmark_serving.py
and I'm glad you liked its functionality.
Yes I think it totally makes sense to decouple serving benchmark out of vLLM since it doesn't really have any dependencies on the library itself other than reusuing get_tokenizer
. Like you said, the only thing you need to do should be just copying codes for get_tokenizer
into backend_request_func
so we won't need to install vLLM itself at all.
Happy to review your PR!
from vllm.
Related Issues (20)
- [Feature]: Please Support FATRelu
- [Usage, bug]: vLLM Docker | ValueError: OpenTelemetry packages must be installed before configuring 'otlp_traces_endpoint' during vLLM startup
- [Performance]: vllm量化和非量化的性能对比 HOT 3
- [Bug]: when `echo=True`, vllm will append chat template(`assistant`) after the last message HOT 6
- [Misc]: how to add tests for new backends? HOT 1
- [Feature]: Pipeline Parallelism support for the Vision Language Models HOT 4
- [Usage]: Qwen2 GGUF model can't run successfully HOT 7
- [Feature]: Overlap model weight loading and model prefill HOT 2
- [RFC]: Add Ascend NPU as a new backend
- [Bug]: Inconsistent Output Behavior with and without tools and tool_choice Parameters
- [Usage]: Periodic snapshots for spot instances HOT 1
- [RFC]: Enable Memory Tiering for vLLM HOT 5
- [Bug]: vLLM inconsistently crashes on startup for multinode cluster HOT 7
- [Usage]: how to abort request? HOT 1
- [Usage]: alignment between trl and llm.generate
- [Bug]: errors when loading mixtral 8x7b
- [Bug]: The MixtralForCausalLM architecture and the mistralai/Mixtral-8x7B-Instruct-v0.1 model are stated to be supported by vLLM, but an error occurs during model loading. HOT 3
- [Bug]: Unable to use fp8 kv cache with neuralmagic quants on ampere HOT 1
- [Doc]: AutoAWQ quantization example fails HOT 3
- [Bug]: Error loading microsoft/Phi-3.5-vision-instruct HOT 1
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.