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Benchmark verified Sep 22, 2026

V2.01 Trusted Knowledge Regression Baseline

A frozen 54-case Trusted Knowledge engineering regression completed against the KESPA V2.01 adaptive runtime with no execution failures, 83.4 mean deterministic quality, and 92.5926% deterministic task success. RAG was used on all cases and escalation occurred on one case; external judge, retrieval-hit, and routing-match metrics were not available, and the result is explicitly scoped to this frozen suite, configuration, runtime, and 500-card knowledge snapshot.

benchmark regression trusted-knowledge adaptive-runtime deterministic-evaluation nexledger
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README.md

4,135 bytes SHA-256 5cbd43d50994a593…

KESPA-BENCH-005 — V2.01 Trusted Knowledge Regression Baseline

Summary

KESPA completed a frozen 54-case Trusted Knowledge engineering regression against the V2.01 adaptive runtime. All 54 cases completed without an execution failure. Deterministic task success was 50/54 (92.5926%), with a mean deterministic quality score of 83.4 / 100.

This is a deterministic engineering regression result, not an externally judged benchmark and not evidence of general performance beyond the frozen suite, configuration, runtime, knowledge snapshot, and measurement conditions represented by this run.

Run identity

  • Run UUID: 1229d2a0-5473-426d-899c-bda596dc5e7a
  • Suite: trusted-knowledge-regression v2026-09-22
  • Suite UUID: d8d945ae-6879-4c1a-bf67-13895c585859
  • Purpose: regression
  • Condition: adaptive
  • Model route: local-primary
  • Brain: 1.1.1-dev / dev-013-trusted-knowledge-index
  • Knowledge cards: 500
  • Config SHA-256: f570257df712ecbf4740c82ab6bf96c7f3621d2d52f5058a371c7e5e394821fe
  • Run summary SHA-256: 042a5ea58c03ab13cddef2287622d17f88b2f3d241eda2c9b8e6a30b8aae3940
  • Frozen suite commitment: 897908b5da8f32a39ee6e2b8b54f3f2021c303ad12d9427eba8b695f28441309

Recorded summary metrics

| Metric | Value | |---|---:| | Total cases | 54 | | Completed cases | 54 | | Execution failures | 0 | | Deterministic task successes | 50 / 54 | | Deterministic task failures | 4 / 54 | | Mean deterministic quality | 83.4 / 100 | | Mean lexical F1 | 0.684776 | | Mean required-term rate | 0.914352 | | Mean latency | 2653.463 ms | | Mean TTFT | 234.574 ms | | Mean tokens/sec | 66.001 | | Mean GPU energy | 0.14564943 Wh/case | | RAG rate | 1 | | Escalation rate | 0.018519 | | Provider cost attributed | $0 | | Quality/sec | 31.430636 | | Quality/Wh | 572.608009 | | External judge score | n/a | | Retrieval hit rate | n/a | | Routing match rate | n/a |

failed_cases = 0 means all benchmark executions completed. It does not mean every case passed deterministic task scoring; four cases were scored as deterministic task failures.

Negative results retained

| Case | Deterministic quality | Lexical F1 | Required-term rate | |---|---:|---:|---:| | tk-75 | 9.2917 | 0.033333 | 0.125 | | tk-74 | 62.2207 | 0.617021 | 0.625 | | tk-38 | 32.627 | 0.235772 | 0.375 | | tk-72 | 41.6971 | 0.262774 | 0.5 |

The per-case export records 54/54 RAG use, 1/54 escalations, and 1/54 web-use cases. These counts are derived directly from the 54 exported result rows. Retrieval-hit and routing-match values were not produced for this run, so no retrieval-accuracy or routing-accuracy claim is made.

Derived aggregate totals

The following totals were calculated by summing the supplied per-case rows:

  • GPU energy: 7.865069 Wh
  • Prompt tokens: 46,266
  • Output tokens: 7,113
  • Total tokens: 53,379
  • LLM calls: 54

Integrity / provenance

The frozen V2.01 baseline, frozen suite, and completed benchmark were separately attested in NexLedger as BLD, DS, and BM events. The BM event for this run is 0ab84032-a5ab-4c4c-863d-95d185460103.

The benchmark's frozen suite commitment (897908b5da8f32a39ee6e2b8b54f3f2021c303ad12d9427eba8b695f28441309) is distinct from the byte-level SHA-256 of the exported suite_manifest.json review-bundle file (20e70ac010205b0167e42e73afef26963e198be9624154c6e58c77ecdb35f9ca). Both are preserved in provenance rather than treated as interchangeable hashes.

Publication boundary

The review bundle explicitly excludes raw prompts, raw model answers, private artifacts, credentials, customer data, and raw runtime exceptions. This public package also excludes the supplied full baseline.json because it contains internal configuration and prompt material unnecessary for reproducing the published metrics.

This result should be interpreted only as a documented engineering regression checkpoint for the frozen TK-54 suite and this recorded KESPA runtime state. It is not a direct replacement for the older 423-claim V1 A/B/C condition and does not establish broad model superiority or generalization.

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benchmark.json

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{
    "schema": "kespa.public_research_benchmark.v1",
    "id": "KESPA-BENCH-005",
    "title": "V2.01 Trusted Knowledge Regression Baseline",
    "date": "2026-09-22",
    "status": "verified",
    "benchmark_class": "engineering_regression",
    "run": {
        "run_uuid": "1229d2a0-5473-426d-899c-bda596dc5e7a",
        "started_at": "2026-09-22 13:28:33",
        "completed_at": "2026-09-22 13:31:15",
        "purpose": "regression",
        "condition_code": "adaptive",
        "model_id": "local-primary",
        "brain_version": "1.1.1-dev",
        "brain_build": "dev-013-trusted-knowledge-index",
        "knowledge_cards": 500,
        "config_sha256": "f570257df712ecbf4740c82ab6bf96c7f3621d2d52f5058a371c7e5e394821fe",
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        "name": "KESPA Trusted Knowledge Regression",
        "slug": "trusted-knowledge-regression",
        "version": "2026-09-22",
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        "label": "KESPA V2.01 post-multimodal baseline",
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        "completed_at": "2026-09-22T13:31:15+00:00",
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        "condition_code": "adaptive",
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        "escalation_rate": 0.018519,
        "failed_cases": 0,
        "knowledge_cards": 500,
        "mean_deterministic_quality": 83.4,
        "mean_gpu_energy_wh": 0.14564943,
        "mean_judge_score": null,
        "mean_latency_ms": 2653.463,
        "mean_lexical_f1": 0.684776,
        "mean_required_term_rate": 0.914352,
        "mean_tokens_per_second": 66.001,
        "mean_ttft_ms": 234.574,
        "model_id": "local-primary",
        "provider_cost_usd_attributed": 0,
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        "quality_basis": "deterministic_0_100",
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        "rag_rate": 1,
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        "task_success_rate": 0.925926,
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        "deterministic_task_successes": 50,
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        "memory_used_cases": 0,
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        "total_tokens": 53379,
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        "External/human judge scoring was not used for this regression run.",
        "Retrieval-hit and routing-match metrics were not produced and remain null.",
        "The run is scoped to the frozen 54-case suite, recorded configuration, runtime, knowledge snapshot, and measurement conditions.",
        "The current 500-card condition is not silently comparable to the older 423-claim V1 A/B/C condition.",
        "This engineering regression does not establish general model or system superiority."
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}
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methodology.md

3,049 bytes SHA-256 813b764f1d959615…

Methodology

Benchmark role

KESPA-BENCH-005 publishes the completed TK-54 engineering regression checkpoint represented by run 1229d2a0-5473-426d-899c-bda596dc5e7a.

The source protocol defines TK-54 as a deterministic 54-case suite generated from active, public, indexed Trusted Knowledge QA records. Its purpose is production regression detection for the adaptive KESPA Brain, not automatic creation of a scientific or generalization claim.

Frozen inputs

The review material records:

  • Suite UUID: d8d945ae-6879-4c1a-bf67-13895c585859
  • Suite version: 2026-09-22
  • Cases: 54
  • Frozen suite commitment: 897908b5da8f32a39ee6e2b8b54f3f2021c303ad12d9427eba8b695f28441309
  • Baseline UUID: 51740386-7f9c-47d3-958b-5cab95eaece5
  • Baseline label: KESPA V2.01 post-multimodal baseline
  • Baseline manifest SHA-256: c94cdc0226582d4b4c3dfc55f625a5877b94bd83812f3e2594b274fef0e82efe
  • Runtime config SHA-256: f570257df712ecbf4740c82ab6bf96c7f3621d2d52f5058a371c7e5e394821fe
  • Knowledge cards: 500

The protocol explicitly warns that current production with 500 cards is a new V2.01 condition and must not be silently substituted for the older 423-claim V1 condition when claiming direct A/B/C comparability.

Execution

The benchmark was run with:

  • purpose: regression
  • condition: adaptive
  • model route: local-primary
  • Brain version/build: 1.1.1-dev / dev-013-trusted-knowledge-index
  • external benchmark judge: off / not recorded

All 54 cases completed. Per-case rows are preserved in results.csv without raw prompts or raw model answers.

Deterministic scoring

The protocol's judge-free regression path records deterministic measures including lexical F1, required-term recall, deterministic quality, deterministic task success, latency, TTFT, throughput, token usage, RAG use, escalation, GPU energy, quality/sec, and quality/Wh where available.

For this run:

  • mean_judge_score is null.
  • retrieval_hit_rate is null.
  • routing_match_rate is null.

Those nulls are preserved. No substitute values were inferred.

Result interpretation

failed_cases = 0 describes execution completion. Separately, deterministic task success was 50/54; 4 cases failed the deterministic success criterion.

The benchmark should therefore be read as:

1. a complete execution of the frozen TK-54 regression suite;

2. a measured deterministic quality/efficiency checkpoint;

3. a regression baseline for future KESPA engineering comparisons;

4. not an external-judge evaluation and not a claim of broad generalization.

Privacy / publication handling

The supplied review bundle states that raw prompts, raw answers, private artifacts, credentials, customer data, and raw runtime exceptions were omitted. This public package retains only safe metrics, hashes/commitments, run identifiers, and benchmark methodology.

The full supplied baseline.json is intentionally not republished because it includes internal configuration and prompt material beyond what is required to support the benchmark result.

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provenance.json

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}
CSV

results.csv

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case_key,case_sha256,status,error_present,deterministic_success,deterministic_quality,lexical_f1,required_term_rate,latency_ms,ttft_ms,tokens_per_second,gpu_energy_wh,prompt_tokens,output_tokens,total_tokens,llm_calls,rag_used,rag_cards_injected,escalated,web_used,memory_used,planner_used,review_used,response_trust,retrieval_hit,routing_match,judge_score,judge_support_score,judge_task_success,model_id,response_source,answer_sha256
tk-1,66c5f8b4bade4891aca75720f2092a5b4ac2adbbfb54c4cfcdbe612f821ac07e,complete,false,true,82.5,0.5,1,1459,442,74.879,0.031982,739,62,801,1,true,3,false,false,false,false,false,0.689,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,ad56dfc898c8bb5ff2baad976ec9c1d7555b8a76612aa4377105a145a39ff4bc
tk-12,e3be9dd3ac2c71731e64b5e16a594913da9dc4ab15b6c7493451baff74f222eb,complete,false,true,100,1,1,2383,212,75.117,0.13616,912,144,1056,1,true,2,false,false,false,false,false,0.688,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,664ec3d5c1237ff79d14ba0a922ab8b5d0a733204b583931bbed1085737eb708
tk-47,2e257dd23f55cfb7704685463a8aae17a3836de7385554c4dc671b555c5ee53a,complete,false,true,100,1,1,2109,89,77.558,0.120946,468,141,609,1,true,1,false,false,false,false,false,0.712,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,5578b459b96edf4850e40fd69f561e4a31510bdaebb9e979d16a62be6a68cb88
tk-63,b3d4cb5fc938c428ce50899bd754e1a546d35ae547a4b7b2d40e3435b3cd4b42,complete,false,true,78.5172,0.386207,1,2403,166,77.381,0.150364,776,169,945,1,true,2,false,false,false,false,false,0.681,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,0a2c3736afeb2e285f37f2d52d90ed6df114e88e6239e16003a1ce9ce6a37311
tk-49,7583adf568a2514239083a5915d3164b3ffcb5f48031ba4c8132680094189255,complete,false,true,100,1,1,2571,194,77.154,0.1642,842,180,1022,1,true,3,false,false,false,false,false,0.687,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,b21d49df633ffa7284e3f06175b4a7b03621d3e8f0f60de7a5ee2e8d45e9cfa2
tk-27,66a46427a4d0a3ecb01ac0bdc3e97f18fbea0ff49907087dda949345b092cfee,complete,false,true,89.6667,0.704762,1,2331,158,76.724,0.138049,689,148,837,1,true,2,false,false,false,false,false,0.702,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,4e0d9be4d340fa84605a235a9f99a9b865f0925e5a8aa4105cb64e4cf8054195
tk-40,2288a4bb044fb3b701a69544a482f7e1002eebc621dd5d4f1d91825d50c1078b,complete,false,true,87.9851,0.656716,1,3114,284,76.888,0.177808,1124,169,1293,1,true,3,false,false,false,false,false,0.688,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,0feac89d0eb939d8933cf679dd4fbf0bd8279b79bc7e41aca186dd2a02e129dd
tk-25,cc9f218b06268a3eabdc845af2eb51b775c1a38d153825dc610b6a21ae6c0417,complete,false,true,91.1111,0.746032,1,2701,269,71.658,0.145489,1005,134,1139,1,true,3,false,false,false,false,false,0.682,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,92e37e4cb35409f1fadba35e60b246d52817ffc66508abb1414259d972028484
tk-43,818fc8a8d5fd531139a673e3209773c807661ab1e895e02b8f94f07aff602866,complete,false,true,100,1,1,1921,235,65.44,0.097531,447,96,543,1,true,1,false,false,false,false,false,0.711,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,8ddb6884c45ad407d031ded6435814c84c02e594d32ccdbb45c14670dfb9347f
tk-21,4d5e8f409bcb4584f80fad9f04cef4dc51a63aaa5e14b9bc446c3cfb5672b99c,complete,false,true,67.8953,0.547009,0.75,1398,98,64.782,0.063671,511,55,566,1,true,1,false,false,false,false,false,0.712,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,366ce7bec0a20c83508d6580bc2076a6d21d4a0bf9b7b4125079cb31dc43de41
tk-23,a9b69596e031161a818c30b6a5a13417c1b09b54371c61c0b385aa6900eeeae2,complete,false,true,80.9914,0.456897,1,5474,694,69.622,0.33125,1922,289,2211,1,true,3,false,false,false,false,false,0.672,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,932e6dc75fad85bf78797df826b6c8d5e5c614b7e312be27ce568e4a6279831a
tk-52,ebfd89937dec5bd9b6d5a4275135340d904c2af6de4a69d9543a402aee9ffcfc,complete,false,true,100,1,1,1201,117,71.966,0.060458,448,67,515,1,true,1,false,false,false,false,false,0.701,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,2af0e22e03150a03965520057753b87cd3e94c3d9038071666fb3286cf729b08
tk-16,a566c4e378a815ef2fd5f6615201a2fe5de0f723f4bb6be875ee28dbc6592a8e,complete,false,true,93,0.8,1,1821,92,67.766,0.103761,494,111,605,1,true,1,false,false,false,false,false,0.701,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,ff83dcb35f4b032c1e336982b65b12ddfe467d8de0275c6db6db2a761dc3bed9
tk-60,d6f357db1b04f886dc212a828b46b93bc3a8bc71580ae0aeb87eb52540f93423,complete,false,true,89.7788,0.707965,1,1299,112,65.905,0.071561,503,75,578,1,true,1,false,false,false,false,false,0.699,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,2a737f34ed452b5495d1990547d929bd0321562b60e58271264ec617bf7bb153
tk-75,2757a3e04643f9f2e99dd684ed68bab373626bf52eccf20013d77a4bc14547c5,complete,false,false,9.2917,0.033333,0.125,1397,69,66.777,0.074411,420,81,501,1,true,1,false,false,false,false,false,0.697,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,19e9f067818020aedaf4e7479dc55f8abc26e572191df55d401ea5142c60e1f8
tk-31,73574819390bbd0f4a9469b7d1614193657237fdaae5ab41b49d96a80e80700b,complete,false,true,95.3333,0.866667,1,2276,171,68.892,0.131847,747,130,877,1,true,2,false,false,false,false,false,0.673,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,faa53e06266a9262b8749f8e785684aee9f642cf7feaff40067e813d0009bed1
tk-37,bc27d22cd2482426a4da2f972c91fbcab88eb6a8204300fa029d1cf3bba43b1b,complete,false,true,91.6418,0.761194,1,3000,254,69.066,0.163674,946,142,1088,1,true,2,false,false,false,false,false,0.682,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,244b2c4cc0f8f62ed14f0c38e9171e63b7dfe7ba51643ea2a831afe006e737c3
tk-4,de4812e55d86a70b2ffdf926dc5c6330dfadb4aa0043eb0a88c14098dd90d32b,complete,false,true,71.2924,0.644068,0.75,3137,141,68.571,0.183287,603,180,783,1,true,1,false,false,false,false,false,0.703,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,1256e672871d29febc00a418a0cef5ac00f455282616a263af59b5e3f65aa02d
tk-67,d2fd2b936280449894e4aebd2da84b9b43b411ddd6f824af767056b3931454a1,complete,false,true,79.0972,0.634921,0.875,2047,189,71.268,0.12278,716,127,843,1,true,3,false,false,false,false,false,0.684,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,ee394326773d5ee30e4856b898d3022086c667cb6354f1866e8c02008e30f8de
tk-7,94bc4ad1b1de70238dc5ab1ab2ed4887be42d5a1876a445dd50d483d2a885801,complete,false,true,77.0763,0.577181,0.875,2119,123,72.052,0.126296,539,132,671,1,true,1,false,false,false,false,false,0.704,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,26c68879da0ead1c6da2c364881409d36b9712d8d05510b4f20d87f5c747d28c
tk-17,1490f637d8dfe6389c77295501049439b59281ade10a05ce9097ec26a7531816,complete,false,true,100,1,1,1788,221,71.669,0.094407,901,85,986,1,true,3,false,false,false,false,false,0.672,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,8a0e2b971cdef39229908a5b4cd4fc5fb1ffb0139dc36cb5c9c952771235bd3b
tk-19,b8664336bb643d730cb10bcbf062f3715a0a1f3da361c1da474e7ea4af7323d5,complete,false,true,100,1,1,1713,91,71.655,0.103252,444,113,557,1,true,1,false,false,false,false,false,0.707,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,65af0f24bbdf568d15d4071b6afb53fdb1fc623d9956b30b11e152f312c4159b
tk-50,c2476b62438a5661ac49b801defd0f60714676d2cb96e33cd2bf118c89c08ca8,complete,false,true,81.1538,0.461538,1,1856,271,70.833,0.110144,1083,102,1185,1,true,3,false,false,false,false,false,0.697,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,67d8c8d6defa3fcec16dc2fae2ac3912dab0f5df80824fbc4fc16942854be001
tk-13,5a92488f53db6b709f8b582e76ca4d7173b507d75f74ed8265d825eb00b7a63e,complete,false,true,95.9302,0.883721,1,1562,109,71.975,0.088232,477,94,571,1,true,1,false,false,false,false,false,0.703,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,cb326002fa2739b42dac3739a5542c4b3c02f01ed1b2729935609153079761f0
tk-74,8256f4fa82b5f680c4d9c2582a83f6024149c090d8b4d51880c7e5ab3969e475,complete,false,false,62.2207,0.617021,0.625,1180,80,72.233,0.068458,487,77,564,1,true,1,false,false,false,false,false,0.676,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,bb5f311faea4eb59901c82daf1a43cdfe734d1fe72fcee571877d658895a5388
tk-15,f5203a267e40a1de75b12f6af33a821272a297012eb24e77db10446196a2d305,complete,false,true,77.3335,0.584527,0.875,4528,377,69.527,0.273035,1666,235,1901,1,true,2,false,false,false,false,false,0.656,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,a3abfe81370be4ded187600a091a4c3bdcf6ba9f74c4a3bfd57f4e0aadf235e4
tk-71,ad0051ec5ed30cf690101214d79828dc9ca06a08ede2fde0f08bf4f99e8d062d,complete,false,true,83.9803,0.774436,0.875,4746,816,69.202,0.261678,2995,182,3177,1,true,3,true,true,false,false,false,0.753,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,03ea0ab8538a295e5255f0239c87162f304b4db5e2088cba75c2937541c3f67c
tk-34,a48143f11166f76f2e7b8345e3fe65d8d4d29cd4dea200b110120f15801a6086,complete,false,true,69.6336,0.364532,0.875,2015,337,71.429,0.105147,1117,80,1197,1,true,3,false,false,false,false,false,0.681,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,f974324773e7c6554c7ae958c2a276b597a38c7070c6bbdc3bd826f36f248b21
tk-65,68eab73bd87be6abd159893ff2fe2d2685208dde390104110d874dddfcfdf231,complete,false,true,83.9831,0.542373,1,2178,269,70.98,0.124012,978,113,1091,1,true,3,false,false,false,false,false,0.681,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,f249d6851fa358379da29a1c0edd4b5e77ebfde7a2a50a57bb50239f701135cf
tk-57,3f9e96a8affa23e3e41db7ae4e2e4e22dc0a82e7959f46852794394149686bf6,complete,false,true,87.7907,0.651163,1,1909,109,71.197,0.095143,464,88,552,1,true,1,false,false,false,false,false,0.711,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,df406888ec8e31cfca3782bfa8eceb07b49a81faac462c175eb0d1ef89c3abf9
tk-14,8b6073ee1709d2b437c91c15a35a435da7f49c3a49fba2c74707fa1f9985e9ed,complete,false,true,96.1111,0.888889,1,2345,87,68.398,0.119848,499,108,607,1,true,1,false,false,false,false,false,0.703,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,52809e0fae79dccb905d3d8854f763c0ffd0ed8bb83c84add179ed7ce4533485
tk-32,5ac8d76367fbd887a4ab39f7e988eaad62e50f8ffd12868713c584d6ace61d67,complete,false,true,76.1307,0.318021,1,3505,255,66.825,0.199972,994,169,1163,1,true,2,false,false,false,false,false,0.654,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,506592c6518f98c6e64a3feeff6e42795ee2fb41a1cec1dba644cf2f68de9e25
tk-55,f20ff87fe52857b077d9bb645da22a694b423c1c67a85b2eca60374e80bfd11d,complete,false,true,100,1,1,2150,177,68.027,0.119581,700,110,810,1,true,3,false,false,false,false,false,0.673,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,b14ddd1224b88a356dab7f7cbcc35dda943b4f3f9fbf175e9f72e5497fc97fd8
tk-44,44682399f7fcd1cd2c218c3ab6bba50a6b0f8fc2bed22b561df135e542d72645,complete,false,true,78.9267,0.397906,1,1551,140,68.262,0.079646,623,77,700,1,true,1,false,false,false,false,false,0.698,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,44752d0197b41e2963f90e79b4e9f3979b7afcd2671ecc8ae4486d6f03e7aa81
tk-38,07e5a24c9fd370878f6ba70c47d2b44e2047c55dea14ab0a8607528477c9679c,complete,false,false,32.627,0.235772,0.375,2194,298,69.159,0.124434,946,111,1057,1,true,2,false,false,false,false,false,0.677,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,1a1557c25a1c623543633a5197cfab39aaa8088ad94a2d3af408d94e6f3dd3ea
tk-77,5c3360769cb78cb65f8fa675f7d25b64b40065b0a477b0164a9993d1e9a07dd6,complete,false,true,79.2593,0.407407,1,3236,341,65.741,0.19606,1096,180,1276,1,true,2,false,false,false,false,false,0.677,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,7fe31171716cf406c28a3cba4b834cf0fa015ad4077dae2c3a1543145bf60d76
tk-46,3c291b670e9ba535940b8d117aa4fcf5755323f5e203aed359d233abf41f56e9,complete,false,true,75.6555,0.536585,0.875,1742,245,63.418,0.0935,740,82,822,1,true,2,false,false,false,false,false,0.662,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,7d5196f61e8995a8e4c42d91e1bfe87e83d1ad60c4612801fe6a07a4f0fed3b7
tk-66,1403c0ea62c90f3795d06b058a571a7985a9d6a188f229639bf0e97dfc52e28d,complete,false,true,97.1311,0.918033,1,2231,230,72.237,0.136414,961,134,1095,1,true,3,false,false,false,false,false,0.691,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,d63211bf1edbe3d19ca864b772b784103e5c08a57bca15ffff0044f191b6ae47
tk-68,a090641bb0c48f6f8f73c3d979707a53b7d09520a3131c9eb97bdbf2d65c3989,complete,false,true,94.1667,0.833333,1,2281,335,63.779,0.124803,1019,106,1125,1,true,3,false,false,false,false,false,0.704,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,ff8f03c462f7268abafbedc92f95fd4cc781c702377f466a465cff2365417694
tk-48,461f1042cc4e47b74c286785514c68fd197dd33a06a8120ebfc19b1b58d6d698,complete,false,true,99.5977,0.988506,1,1493,109,67.068,0.078568,460,78,538,1,true,1,false,false,false,false,false,0.714,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,359cad11b2355371229127ad0a6ef201019afbc5364ee0aaaec0ef4c081ad3ce
tk-26,eae8db285776a7175b689b2a99d7642d828f9bc53ae6c30271ec91d6a8d5eb9c,complete,false,true,90.7895,0.736842,1,3364,248,65.059,0.179765,888,143,1031,1,true,3,false,false,false,false,false,0.69,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,b526edb99d36b303d7e6a284b83d62e365ececa232009b64694d49c787499062
tk-42,725c9d50bbbd82aef4be70f92013f10bd1d9c502441497fd9e16ea1ec0edb4e4,complete,false,true,99.0278,0.972222,1,6324,490,67.277,0.399493,1711,360,2071,1,true,1,false,false,false,false,false,0.696,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,cea603eb0a7a34629f949ce74efa141e2939cbb31697371ff648624e16f1b1ee
tk-33,dcf48f061b3e8b965224d2ce482d446e9e93f5d88e1b0c4afea440739f41ca5b,complete,false,true,76.2367,0.553191,0.875,2398,173,64.8,0.111642,637,81,718,1,true,2,false,false,false,false,false,0.677,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,5b430b9a6410180ee6a53dcf3ca3c923efc132e8fe82b54d62719b590f4f87d5
tk-20,df6c85f314f4b721d84e540e050037f168b77fe20d57b2eb8d074db5837f27b4,complete,false,true,87.4818,0.642336,1,2876,123,67.644,0.175154,534,180,714,1,true,1,false,false,false,false,false,0.701,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,21b727dc0dabdbcddbfa9ec7d0a34ea183bc3179aef942ba62eb4651c7ece3b5
tk-72,113cb3e020682a23b16a14aa0076c69de1d7fb98b212a70776b073c6d0d59d35,complete,false,false,41.6971,0.262774,0.5,2856,204,69.713,0.18148,842,180,1022,1,true,3,false,false,false,false,false,0.687,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,6d7a574227e45bae3f8876d3ef7ba4810254e04f760edd566b2df63f72e14e4b
tk-41,0b2cd386b0d7179a7451d0d4dcb6eccd4701af98c3e74f9675dbba4549d5af0e,complete,false,true,100,1,1,8605,524,47.498,0.458705,1844,336,2180,1,true,3,false,false,false,false,false,0.678,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,db82e218eb15bafcd3b5213ac041dc808ae7e883efed7e0a4260ff68e23e414d
tk-3,31e60792d8f9168ba0b08f0f90bead8d23fa4bed0cd3622c37127b2ecaca46f1,complete,false,true,70.7721,0.397059,0.875,1966,205,46.015,0.088626,729,56,785,1,true,2,false,false,false,false,false,0.689,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,4d9294cea0b1f135ec692ff71fb6d8e1993f7b50538a9d81f4312bfc1098650d
tk-24,5c15d936c223e492358e7542f8d70cad079b5d0e5b1d5a0a4df86ee65aff4d2b,complete,false,true,70.4741,0.62069,0.75,1965,371,47.106,0.094347,975,70,1045,1,true,3,false,false,false,false,false,0.687,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,8049c55e11adcf54ef94658c4df9907385056ad248e624a0c338a1a17fa96080
tk-35,adc8b24daeda8a8b228e0c9110804de2fdd0de7a8ab3e5ba59509eab113a4b36,complete,false,true,77.8736,0.367816,1,4668,261,48.154,0.232274,908,180,1088,1,true,2,false,false,false,false,false,0.666,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,a9e438eaed9fd0c5080fd178da252ab251f27f89fec448adab0c58c9b6774ef7
tk-10,8447012913808ee5e7c57876a607be252cc334937092a3e474b2aa68cd9e4151,complete,false,true,79.9548,0.891566,0.75,1873,372,53.623,0.093875,1120,74,1194,1,true,3,false,false,false,false,false,0.691,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,9cee50492b9ad92d8eaa76cc78e48714b746008736296d1992d648b621998d6a
tk-6,da4235dbc0ab77354cfafd563759506bb306c25df5c7e8bbc0e2e04db9f279b0,complete,false,true,93.866,0.824742,1,3815,233,44.244,0.16904,686,113,799,1,true,2,false,false,false,false,false,0.705,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,3dcc43d3c91819c8e7bc3b90e5497b2ab1c35c50671230455a8f4bf0a90b1ee9
tk-61,3c3d739a8db32d0f30c31ac18d1f92140d9b003127ae52af7dce20735324ad31,complete,false,true,81.2228,0.695652,0.875,4004,110,43.663,0.19757,501,164,665,1,true,1,false,false,false,false,false,0.712,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,0460339267e0f7663dc5aa6dbf401bb7d530d925d76b99dc5e259bfb8ba2a045
tk-8,01d51d930080df2207f15fe9ad1a7c574ba2c8a92f61649891215e4a50cda33c,complete,false,true,85.75,0.825,0.875,1950,93,43.84,0.093308,466,79,545,1,true,1,false,false,false,false,false,0.709,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,735ab2765618c570e9d22a6bff630c46463fc4deb69900e902021d386b79320c
tk-45,e2185a97fa2360d0b931039d77a8b6d07e725c643f3f84e5dccbb8f86b784d15,complete,false,true,91.6452,0.76129,1,4259,254,42.342,0.197931,924,141,1065,1,true,3,false,false,false,false,false,0.69,,,,,,qwen2.5-coder:7b-instruct-q4_K_M,brain,eeca4a344d09f30422c9f42e2ec341dedc1309eba7079e571ff6343ae79d8edc