{"data":{"capabilities":{"chat":null,"reasoning":null,"tools":null,"vision":null},"description":"Observed LocalMaxxing leaderboard run. Evidence for compatibility, not an executable launch contract.","engine":{"graph_mode":null,"name":"llama.cpp","version":"9769 (c926ad098), IntelLLVM 2026.0.0"},"facts":{"capabilities.chat":{"provenance":{"captured_at":"2026-08-30T09:10:02Z","sources":[{"captured_at":"2026-08-30T09:10:02Z","kind":"registry-enrichment","url":"https://github.com/0xSero/local-ai-registry"}]},"reason":"capability-not-verified","state":"unknown"},"capabilities.reasoning":{"provenance":{"captured_at":"2026-08-30T09:10:02Z","sources":[{"captured_at":"2026-08-30T09:10:02Z","kind":"registry-enrichment","url":"https://github.com/0xSero/local-ai-registry"}]},"reason":"capability-not-verified","state":"unknown"},"capabilities.tools":{"provenance":{"captured_at":"2026-08-30T09:10:02Z","sources":[{"captured_at":"2026-08-30T09:10:02Z","kind":"registry-enrichment","url":"https://github.com/0xSero/local-ai-registry"}]},"reason":"capability-not-verified","state":"unknown"},"capabilities.vision":{"provenance":{"captured_at":"2026-08-30T09:10:02Z","sources":[{"captured_at":"2026-08-30T09:10:02Z","kind":"registry-enrichment","url":"https://github.com/0xSero/local-ai-registry"}]},"reason":"capability-not-verified","state":"unknown"},"engine.graph_mode":{"provenance":{"captured_at":"2026-08-30T09:10:02Z","sources":[{"captured_at":"2026-08-30T09:10:02Z","kind":"registry-enrichment","url":"https://github.com/0xSero/local-ai-registry"}]},"reason":"runtime-detail-not-published","state":"unknown"},"serving.kv_cache_tokens":{"provenance":{"captured_at":"2026-08-30T09:10:02Z","sources":[{"captured_at":"2026-08-30T09:10:02Z","kind":"registry-enrichment","url":"https://github.com/0xSero/local-ai-registry"}]},"reason":"kv-cache-capacity-not-published","state":"unknown"}},"hardware_count":1,"hardware_id":"intel-arc-pro-b70-32gb","id":"gemma-4-26b-a4b-it-ud-q8-k-xl-intel-arc-pro-b70-32gb-llama-cpp-tp1","launch":{"container":{"captured_at":"2026-08-30T09:10:02Z","compose_file":null,"digest":null,"image":null,"reason":"reference-only-launch","runtime":null,"source":[{"captured_at":"2026-08-30T09:10:02Z","kind":"recipe-launch","url":"https://www.localmaxxing.com/en/runs/cmr47ivql0045nv011pfdjlaa"}],"state":"none"},"kind":"reference","run_id":"cmr47ivql0045nv011pfdjlaa","source":"localmaxxing","url":"https://www.localmaxxing.com/en/runs/cmr47ivql0045nv011pfdjlaa"},"metadata":{"localmaxxing":{"backend":null,"hardware_label":"Intel Arc Pro B70","notes":"Gemma 4 26B A4B Q8 long-context service smoke on one Intel Arc Pro B70 using llama.cpp/SYCL. This is a prompt-processing and near-32K long-context decode result, not the short-context 124.977 tok/s LocalMaxxing record. Shape: fixed deterministic long-context suite case lc-24000-late, actual prompt_tokens=32571, completion_tokens=76, contextLength=32768, batchSize=1, temperature=0, seed=1, cached_tokens=0, exact JSON retrieval fields passed, unique prompt hash. tokSPrefill is prompt_tokens / TTFT approximation; tokSOut is generated-token decode throughput after TTFT; tokSTotal is (prompt_tokens + output_tokens) / wall time. MTP/speculation is draft-only from local Q4_0 MTP draft; accepted tokens are verified by the UD-Q8_K_XL target/verifier. No prompt cache, KV cache reuse, context checkpoints, response reuse, n-gram/history acceleration, or warmed repeated prompt is used. Supporting service ladder on 2026-07-02 passed 32/32 long-context rows across four independent one-B70 lanes with cached_tokens=0 and exact JSON validation; average lane median prefill was 1192.965 tok/s and average lane median long-context decode was 131.786 tok/s. Evidence: https://github.com/steveseguin/b70-optimization-lab/blob/8723f783fa904092dcc019272f7abff939879f39/data/gemma4-26b-prod-service-32k-smoke-20260703T002811Z.json and deployment notes at https://github.com/steveseguin/b70-optimization-lab/blob/8723f783fa904092dcc019272f7abff939879f39/results/gemma4-26b-a4b-q8-b70/production-service.md","observed_command":"GPU_INDEX=0 PORT=19350 GEMMA4_26B_PROFILE=service scripts/serve-gemma4-26b-q8-production.sh; python3 scripts/bench-openai-long-context-suite.py --base-url http://127.0.0.1:19350 --model gemma4-26b-a4b-q8 --suite repro/gemma4-26b-a4b-q8-b70/long-context-suite-v1.json --case-id lc-24000-late --max-tokens 96","run_id":"cmr47ivql0045nv011pfdjlaa","tokenized":{"arguments":["scripts/serve-gemma4-26b-q8-production.sh;","python3","scripts/bench-openai-long-context-suite.py","--base-url","http://127.0.0.1:19350","--model","gemma4-26b-a4b-q8","--suite","repro/gemma4-26b-a4b-q8-b70/long-context-suite-v1.json","--case-id","lc-24000-late","--max-tokens","96"],"environment":{"GEMMA4_26B_PROFILE":"service","GPU_INDEX":"0","PORT":"19350"},"fidelity":"faithful"}}},"model_instance_id":"unsloth-gemma-4-26b-a4b-it-gguf--ud-q8-k-xl","provenance":{"captured_at":"2026-08-30T09:10:02Z","sources":[{"captured_at":"2026-08-30T09:10:02Z","kind":"normalized-recipe","url":"https://www.localmaxxing.com/en/runs/cmr47ivql0045nv011pfdjlaa"}]},"recipe_source":"localmaxxing","schema_version":"local-ai-registry/v1","serving":{"kv_cache_tokens":null,"max_concurrency":1,"max_context_tokens":32768,"tensor_parallel":1},"speed_sweep_ids":["gemma-4-26b-a4b-it-ud-q8-k-xl-intel-arc-pro-b70-32gb-llama-cpp-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/gemma-4-26B-A4B-it-GGUF"}]},"reason":"hf-api-confirmed-public","repository":"unsloth/gemma-4-26B-A4B-it-GGUF","status":"known","url":"https://huggingface.co/unsloth/gemma-4-26B-A4B-it-GGUF"},"registry":{"launchable":false,"speed_evidence":{"available":true,"count":1,"speed_sweep_ids":["gemma-4-26b-a4b-it-ud-q8-k-xl-intel-arc-pro-b70-32gb-llama-cpp-tp1-sweep"],"detail_urls":["/api/v1/speed-sweep/gemma-4-26b-a4b-it-ud-q8-k-xl-intel-arc-pro-b70-32gb-llama-cpp-tp1-sweep"]},"runtime":"reference"},"relationships":{"hardware":{"api":"/api/v1/hardware/intel-arc-pro-b70-32gb","href":"/hardware/intel-arc-pro-b70-32gb","id":"intel-arc-pro-b70-32gb","name":"Intel Arc Pro B70"},"model":{"api":"/api/v1/models/gemma-4-26b-a4b-it","href":"/models/gemma-4-26b-a4b-it","id":"gemma-4-26b-a4b-it","name":"gemma-4-26B-A4B-it"},"model_instance":{"api":"/api/v1/model-instances/unsloth-gemma-4-26b-a4b-it-gguf--ud-q8-k-xl","href":"/model-instances/unsloth-gemma-4-26b-a4b-it-gguf--ud-q8-k-xl","id":"unsloth-gemma-4-26b-a4b-it-gguf--ud-q8-k-xl","name":"unsloth/gemma-4-26B-A4B-it-GGUF"},"speed_sweep":[{"api":"/api/v1/speed-sweep/gemma-4-26b-a4b-it-ud-q8-k-xl-intel-arc-pro-b70-32gb-llama-cpp-tp1-sweep","href":"/speed-sweep/gemma-4-26b-a4b-it-ud-q8-k-xl-intel-arc-pro-b70-32gb-llama-cpp-tp1-sweep","id":"gemma-4-26b-a4b-it-ud-q8-k-xl-intel-arc-pro-b70-32gb-llama-cpp-tp1-sweep"}]}},"meta":{"source":"registry"}}