"gpu_memory_utilization 这个ModelScope参数的具体意思是啥？""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内存不足以支持这些缓存块时,就会抛出此错误。 2. 调整 gpu_memory_utilization 参数 为了解决这个问题,你可以在初始化推理引擎时调整 gpu_memory_utilization 参数。这个参数控制了在GPU总内存中分配给模型和缓存的内存比例。默认情况下,这个值可能设置得较低,导致没有足够的内存分配给缓存块。 下面是一个如何...
mlc-llm 如何设置gpu_memory_utilization?在启动服务器时修改overrides参数
Code Pull requests Actions Projects Security Insights Additional navigation options Commit [Misc] add gpu_memory_utilization arg (vllm-project#5079) Browse filesBrowse the repository at this point in the history Signed-off-by: pandyamarut <pandyamarut@gmail.com> ...
05, max_tokens=512)llm = LLM(model="output_merged",dtype="half",gpu_memory_utilization=0.95...
I can modify "gpu_memory_utilization" in “mlc_llm serve” mode. How to set it when using "mlc_llm chat"? limin05030 commented on Aug 1, 2024 limin05030 on Aug 1, 2024· edited by limin05030 Edits Modify the overrides parameter when Launch the Server I can modify "gpu_memory_ut...
kv_cache_size=3.91GiB gpu_memory_utilization=0.9 可以看出来基本占满了,gpu_memory_utilization默认开到了0.9,这个参数的高低代表了在使用GPU时,分配给模型和缓存的内存比例。果将 gpu_memory_utilization 设置为较高的值,这意味着模型可以使用更多的GPU内存。这通常会提高模型的性能,因为可以缓存更多的数据和中间结...
GPU and Memory Utilization in Deep Learning. Learn more about gpu, nvidia, deep learning, parallel computing toolbox, dl
Minamiura, A study on a method of effective memory utilization on GPU applied for neighboring filter on image processing, in: Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science, vol. 145, Springer, Berlin, Heidelberg, 2012, pp. 245-251....
= CacheEngine.get_cache_block_size( block_size, self.model_config, self.parallel_config) #@ add the self.gpu_mem_pre_occupied to fix the evaluation num_gpu_blocks = int( (total_gpu_memory * gpu_memory_utilization - peak_memory + self.gpu_mem_pre_occupied) // cache_block_size) .....