Entrpi
72badaf39a
A forum user hit HTTP 400 "'auto' tool choice requires --enable-auto-tool-choice
and --tool-call-parser to be set" — the server shipped without tool-calling
enabled, which is exactly what agent/tool workloads (the whole point) need.
- serve.sh + mtp_serve.sh now pass --enable-auto-tool-choice --tool-call-parser
qwen3_xml --reasoning-parser qwen3 by default (overridable/disable via
TOOL_PARSER= / REASONING_PARSER=).
- Parser matters: Qwen3.5 emits the XML tool format
(<function=name><parameter=k>v</parameter></function>), so hermes returns 200
but with EMPTY tool_calls (the call lands in content). qwen3_xml parses it.
Verified on the box: tool_choice=auto -> tool_calls=[get_weather {city:Paris}];
plain chat unaffected; <think> -> reasoning_content.
- README: document tool-calling defaults + that the server binds 0.0.0.0
(LAN-reachable at http://<spark-ip>:8000; no auth).
39 lines
1.8 KiB
Bash
Executable File
39 lines
1.8 KiB
Bash
Executable File
#!/bin/bash
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# mtp_serve.sh — native qwen3_5 MTP-N head for the comparison (`--profile mtp`).
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# The MTP head (1 layer, reuses target KV/embed/lm_head) is in the Intel
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# checkpoint (mtp.layers.0) — no separate drafter, no unify patch needed.
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# $1 = num_speculative_tokens (default 2 = the "MTP-2" recipe); $2 = backend.
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set -euo pipefail
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NSPEC="${1:-2}"
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BACKEND="${2:-flash_attn}"
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MODEL="${MODEL:-Intel/Qwen3.5-122B-A10B-int4-AutoRound}"
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MAX_MODEL_LEN="${MAX_MODEL_LEN:-262144}"
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GPU_MEM="${GPU_MEM:-0.82}"
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MAX_NUM_SEQS="${MAX_NUM_SEQS:-3}"
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MAX_BATCHED_TOKENS="${MAX_BATCHED_TOKENS:-8192}"
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LOAD_FORMAT="${LOAD_FORMAT:-fastsafetensors}"
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PORT="${PORT:-8000}"
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# Reclaim the CUDA-graph memory over-estimate to KV (see serve.sh). Set =1 to restore.
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export VLLM_MEMORY_PROFILER_ESTIMATE_CUDAGRAPHS="${VLLM_MEMORY_PROFILER_ESTIMATE_CUDAGRAPHS:-0}"
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# Auto tool-calling + reasoning split (see serve.sh). Off via TOOL_PARSER="" etc.
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TOOL_PARSER="${TOOL_PARSER:-qwen3_xml}"
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REASONING_PARSER="${REASONING_PARSER:-qwen3}"
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TOOL_ARG=()
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[ -n "$TOOL_PARSER" ] && TOOL_ARG+=(--enable-auto-tool-choice --tool-call-parser "$TOOL_PARSER")
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[ -n "$REASONING_PARSER" ] && TOOL_ARG+=(--reasoning-parser "$REASONING_PARSER")
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echo "[mtp] qwen3_5_mtp — backend=$BACKEND, num_speculative_tokens=$NSPEC, model=$MODEL"
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exec vllm serve "$MODEL" \
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--served-model-name qwen \
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--host 0.0.0.0 --port "$PORT" \
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--max-model-len "$MAX_MODEL_LEN" \
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--max-num-seqs "$MAX_NUM_SEQS" \
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--max-num-batched-tokens "$MAX_BATCHED_TOKENS" \
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--gpu-memory-utilization "$GPU_MEM" \
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--no-enable-prefix-caching \
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--enable-chunked-prefill \
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--trust-remote-code \
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--load-format "$LOAD_FORMAT" \
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--attention-backend "$BACKEND" \
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"${TOOL_ARG[@]}" \
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--speculative-config "{\"method\":\"qwen3_5_mtp\",\"num_speculative_tokens\":$NSPEC,\"model\":\"$MODEL\"}"
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