Startup issues with vllm-openai:qwen38-flash-next
Has anyone been able to get this to startup ok with the vllm-openai:qwen38-flash-next docker image?
ValueError: There is no module or parameter named 'ngram_embedding.weight_scale' in Qwen3_8FlashNextNGramEmbedding. The available parameters belonging to ngram_embedding (VocabParallelEmbedding) are: {'ngram_embedding.weight'}
--model RadixArk/Qwen3.8-Flash-Next-NVFP4
--max-num-seqs 12
--tensor-parallel-size 2
--gpu-memory-utilization 0.96
--reasoning-parser qwen3
--enable-auto-tool-choice
--tool-call-parser qwen3_coder
--safetensors-load-strategy lazy
--enable-prefix-caching
--max-model-len auto
--enable-chunked-prefill
--speculative-config '{\"method\":\"mtp\",\"num_speculative_tokens\":3}'
I don't have this error. I'm using VLLM_PLE_CPU_OFFLOAD=1 env var to offload the ngram to the cpu (cf https://recipes.vllm.ai/Qwen/Qwen3.8-Flash-Next )
however I get an OOM when the weights are loaded into a single RTX 6000 Pro
I don't have this error. I'm using VLLM_PLE_CPU_OFFLOAD=1 env var to offload the ngram to the cpu (cf https://recipes.vllm.ai/Qwen/Qwen3.8-Flash-Next )
however I get an OOM when the weights are loaded into a single RTX 6000 Pro
I have not tried this one - But I got the Inferact version working on a single RTX Pro 6000. It is very fast and runs well. Switching over to this model from DSv4-Flash for now.