""gpu_memory_utilization这个ModelScope参数的具体意思是啥？"vllm显存使用比例，vllm是预先分配显存，如果没有什么特殊情况，建议配置到0.9以上。 此回答整理自钉群“魔搭ModelScope开发者联盟群 ①”
当gpu_memory_utilization = 0.8时，出现了“没有可用的缓存块内存。尝试在初始化引擎时增加gpu_memory...
当gpu_memory_utilization = 0.8时，出现了“没有可用的缓存块内存。尝试在初始化引擎时增加gpu_memory...
A high-throughput and memory-efficient inference and serving engine for LLMs - [Misc] add gpu_memory_utilization arg (#5079) · bfontain/vllm@616e600
Your current environment I am using docker env for vLLM: vllm/vllm-openai:v0.6.4 Model Input Dumps No response 🐛 Describe the bug I am running vLLM using docker/docker compose. My current docker-compose.yaml is- embeddings: image: vllm/v...
from vllm.engine import AsyncLLMEngine from vllm.engine.args import AsyncEngineArgs # 初始化引擎参数 engine_args = AsyncEngineArgs( model_path='path/to/your/model', gpu_memory_utilization=0.95, # 将此值调整为更高的值,例如0.95或0.96 max_model_len=4096, # 根据需要调整模型的最大序列长度 #...
Since vLLM 0.2.5, we can't even run llama-2 70B 4bit AWQ on 4*A10G anymore, have to use old vLLM. Similar problems even trying to be two 7b models on 80B A100. For small models, like 7b with 4k tokens, vLLM fails for "cache blocks" even ...
WoosukKwon deleted the add-llm-params branch September 20, 2023 05:16 hongxiayang pushed a commit to hongxiayang/vllm that referenced this pull request Feb 13, 2024 Add gpu_memory_utilization and swap_space to LLM (vllm-project#1090) d80d454 sjchoi1 pushed a commit to casys-kaist...
vllm-project / vllm Public Notifications Fork 4.7k Star 31k Code Issues 1.4k Pull requests 379 Discussions Actions Security Insights New issue [Bug]:The parameter gpu_memory_utilization does not take effect #10637 Open 1 task done liutao053877 opened this issue Nov 25, 2024· 4...
'already used before vLLM starts and --gpu-memory-utilization is ' 'set to 0.9, then only 40%% of the gpu memory will be allocated ' 'to the model executor.') parser.add_argument( '--num-gpu-blocks-override', type=int,0 comments on commit 15f8f42 Please sign in to comment. Foo...