Startup issues with vllm-openai:qwen38-flash-next

#2
by 1anH - opened

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 )

check https://old.reddit.com/r/LocalLLM/comments/1vz20ap/qwen38flashnextnvfp4_on_single_rtx_pro_6000_120ts/

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 )

check https://old.reddit.com/r/LocalLLM/comments/1vz20ap/qwen38flashnextnvfp4_on_single_rtx_pro_6000_120ts/

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.

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