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...
""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，...
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...
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” 2024-07-30 19:05:29 赞同 2 展开评论 打赏 相关问答 modelscope-funasr服务端部署的话,推荐什么样的GPU? 77 0 0 在modelscope-funasr如果使用GPU的话这个编译需要改...
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 #...
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...
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 though alot more memory is left. ...
@@ -89,9 +89,11 @@ Below, you can find an explanation of every engine argument for vLLM: CPU swap space size (GiB) per GPU. .. option:: --gpu-memory-utilization <percentage> .. option:: --gpu-memory-utilization <fraction> The percentage of GPU memory to be used for the model...