{"data":{"capabilities":{"chat":null,"reasoning":null,"tools":null,"vision":null},"description":"Observed LocalMaxxing leaderboard run. 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On llama-benchy which uses --exact-tg which measures differently (it counts the\n full request latency divided by output tokens) the numbers were more conservative PP: 772.7 tok/s (±46.4), TG: 18.0 tok/s (±4.1), Peak TG: 29.7 tok/s (±11.2), TTFT: 311.9 ms (±9.4)","observed_command":"```\nexport CUTE_DSL_ARCH=\"${CUTE_DSL_ARCH:-sm_121a}\"\n\n# Prevent OpenBLAS/MKL from spawning too many threads (crashes under systemd)\nexport OPENBLAS_NUM_THREADS=\"${OPENBLAS_NUM_THREADS:-1}\"\nexport OMP_NUM_THREADS=\"${OMP_NUM_THREADS:-1}\"\nexport MKL_NUM_THREADS=\"${MKL_NUM_THREADS:-1}\"\nexport RAYON_NUM_THREADS=\"${RAYON_NUM_THREADS:-1}\"\nexport TOKENIZERS_PARALLELISM=\"${TOKENIZERS_PARALLELISM:-false}\"\n\n# --- Paths ---\nVENV_DIR=\"${VENV_DIR:-./<local-dir>}\" # see unsloth recipe (https://unsloth.ai/docs/models/qwen3.6#dgx-spark-with-nvfp4-quants)\nVLLM_BIN=\"$VENV_DIR/bin/vllm\"\nMODEL_PATH=\"${MODEL_PATH:-$HOME/models/Qwen3.6-27B-NVFP4}\"\nSERVED_NAME=\"${SERVED_NAME:-qwen36-27b}\"\n\n# --- Speculative decoding ---\nSPEC_METHOD=\"${SPEC_METHOD:-mtp}\"\nDFLASH_MODEL=\"${DFLASH_MODEL:-$HOME/models/Qwen3.6-27B-DFlash}\"\n\nif [ \"$SPEC_METHOD\" = \"dflash\" ]; then\n    SPEC_TOKENS=\"${SPEC_TOKENS:-15}\"\n    SPEC_CONFIG=\"{\\\"method\\\":\\\"dflash\\\",\\\"model\\\":\\\"$DFLASH_MODEL\\\",\\\"num_speculative_tokens\\\":${SPEC_TOKENS}}\"\nelse\n    SPEC_TOKENS=\"${SPEC_TOKENS:-2}\"\n    SPEC_CONFIG=\"{\\\"method\\\":\\\"mtp\\\",\\\"num_speculative_tokens\\\":${SPEC_TOKENS}}\"\nfi\n\n# --- Thinking mode ---\nENABLE_THINKING=\"${ENABLE_THINKING:-1}\"\nif [ \"$ENABLE_THINKING\" = \"1\" ]; then\n    THINK_KWARGS='{\"enable_thinking\": true}'\n    REASONING_FLAG=\"--reasoning-parser qwen3\"\nelse\n    THINK_KWARGS='{\"enable_thinking\": false}'\n    REASONING_FLAG=\"\"\nfi\n\n# --- Serving ---\nMAX_MODEL_LEN=\"${MAX_MODEL_LEN:-262144}\"\nMAX_NUM_SEQS=\"${MAX_NUM_SEQS:-8}\"\nMAX_BATCH_TOKENS=\"${MAX_BATCH_TOKENS:-4096}\"\nGPU_MEM_UTIL=\"${GPU_MEM_UTIL:-0.92}\"\n\n# --- Optional flags ---\nEXTRA_FLAGS=()\nif [ \"${LANGUAGE_ONLY:-1}\" = \"1\" ]; then\n    EXTRA_FLAGS+=(--language-model-only)\nfi\nif [ \"${CHUNKED_PREFILL:-1}\" = \"1\" ] && [ \"$MAX_NUM_SEQS\" -gt 1 ]; then\n    EXTRA_FLAGS+=(--enable-chunked-prefill)\nfi\n# --- Launch ---\nexec \"$VLLM_BIN\" serve \"$MODEL_PATH\" \\\n  --served-model-name \"$SERVED_NAME\" \\\n  --host 0.0.0.0 --port 8000 \\\n  --tensor-parallel-size 1 \\\n  --gpu-memory-utilization \"$GPU_MEM_UTIL\" \\\n  --max-model-len \"$MAX_MODEL_LEN\" \\\n  --max-num-batched-tokens \"$MAX_BATCH_TOKENS\" \\\n  --max-num-seqs \"$MAX_NUM_SEQS\" \\\n  --trust-remote-code \\\n  --speculative-config \"$SPEC_CONFIG\" \\\n  --enable-auto-tool-choice \\\n  --tool-call-parser qwen3_coder \\\n  $REASONING_FLAG \\\n  --default-chat-template-kwargs \"$THINK_KWARGS\" \\\n  ${OVERRIDE_GENERATION_CONFIG:+--override-generation-config \"$OVERRIDE_GENERATION_CONFIG\"} \\\n  \"${EXTRA_FLAGS[@]}\" \\\n  --seed 0\n```","run_id":"cmri5obsn016xmj01joh0exn5","tokenized":{"fidelity":"lossy"}}},"model_instance_id":"unsloth-qwen3-6-27b-nvfp4--nvfp4","provenance":{"captured_at":"2026-08-30T09:26:09Z","sources":[{"captured_at":"2026-08-30T09:26:09Z","kind":"normalized-recipe","url":"https://www.localmaxxing.com/en/runs/cmri5obsn016xmj01joh0exn5"}]},"recipe_source":"localmaxxing","schema_version":"local-ai-registry/v1","serving":{"kv_cache_tokens":null,"max_concurrency":null,"max_context_tokens":2048,"tensor_parallel":1},"speed_sweep_ids":["qwen3-6-27b-nvfp4-dgx-spark-gb10-128gb-vllm-tp1-sweep"],"status":"candidate","huggingface":{"link_type":"repository","provenance":{"captured_at":"2026-08-30T09:10:02Z","sources":[{"captured_at":"2026-08-30T09:10:02Z","kind":"huggingface-api","url":"https://huggingface.co/api/models/unsloth/Qwen3.6-27B-NVFP4"}]},"reason":"hf-api-confirmed-public","repository":"unsloth/Qwen3.6-27B-NVFP4","status":"known","url":"https://huggingface.co/unsloth/Qwen3.6-27B-NVFP4"},"registry":{"launchable":false,"speed_evidence":{"available":true,"count":1,"speed_sweep_ids":["qwen3-6-27b-nvfp4-dgx-spark-gb10-128gb-vllm-tp1-sweep"],"detail_urls":["/api/v1/speed-sweep/qwen3-6-27b-nvfp4-dgx-spark-gb10-128gb-vllm-tp1-sweep"]},"runtime":"reference"},"relationships":{"hardware":{"api":"/api/v1/hardware/dgx-spark-gb10-128gb","href":"/hardware/dgx-spark-gb10-128gb","id":"dgx-spark-gb10-128gb","name":"NVIDIA DGX Spark GB10"},"model":{"api":"/api/v1/models/qwen3-6-27b","href":"/models/qwen3-6-27b","id":"qwen3-6-27b","name":"Qwen3.6-27B"},"model_instance":{"api":"/api/v1/model-instances/unsloth-qwen3-6-27b-nvfp4--nvfp4","href":"/model-instances/unsloth-qwen3-6-27b-nvfp4--nvfp4","id":"unsloth-qwen3-6-27b-nvfp4--nvfp4","name":"unsloth/Qwen3.6-27B-NVFP4"},"speed_sweep":[{"api":"/api/v1/speed-sweep/qwen3-6-27b-nvfp4-dgx-spark-gb10-128gb-vllm-tp1-sweep","href":"/speed-sweep/qwen3-6-27b-nvfp4-dgx-spark-gb10-128gb-vllm-tp1-sweep","id":"qwen3-6-27b-nvfp4-dgx-spark-gb10-128gb-vllm-tp1-sweep"}]}},"meta":{"source":"registry"}}