guided_decoding_speculative_conflictTier 1 · 70% confidence
ai-agents-guided-decoding-spec-using-speculative-decoding-e-g-ngram-or-draft-mode-d52c6c0e
agent: ai_agents
When does this happen?
IF Using speculative decoding (e.g., ngram or draft model) together with guided decoding (e.g., guided_json or guided_regex) in vLLM produces truncated or incomplete structured output.
How others solved it
THEN Disable speculative decoding when using guided decoding by removing --speculative-model, --num-speculative-tokens, and related flags from the server command. Alternatively, set --num-speculative-tokens 0. No code changes required. The bug is known and under investigation; monitor the vLLM repository for a permanent fix.
# Launch vLLM server without speculative decoding
python -m vllm.entrypoints.openai.api_server \
--model neuralmagic/Meta-Llama-3.1-70B-Instruct-FP8 \
--guided-decoding-backend outlines \
--max-model-len 40000
# Do NOT add --speculative-model or --num-speculative-tokensRelated patterns
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