Text Generation
Transformers
Safetensors
llama
experimental
web-agent
tool-calling
lora-merged
bf16
conversational
text-generation-inference
Instructions to use webbrain-one/webbrain-compass-tiny-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use webbrain-one/webbrain-compass-tiny-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="webbrain-one/webbrain-compass-tiny-v2") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("webbrain-one/webbrain-compass-tiny-v2") model = AutoModelForCausalLM.from_pretrained("webbrain-one/webbrain-compass-tiny-v2", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=256) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use webbrain-one/webbrain-compass-tiny-v2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "webbrain-one/webbrain-compass-tiny-v2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "webbrain-one/webbrain-compass-tiny-v2", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/webbrain-one/webbrain-compass-tiny-v2
- SGLang
How to use webbrain-one/webbrain-compass-tiny-v2 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "webbrain-one/webbrain-compass-tiny-v2" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "webbrain-one/webbrain-compass-tiny-v2", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "webbrain-one/webbrain-compass-tiny-v2" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "webbrain-one/webbrain-compass-tiny-v2", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use webbrain-one/webbrain-compass-tiny-v2 with Docker Model Runner:
docker model run hf.co/webbrain-one/webbrain-compass-tiny-v2
Upload private Compass v2 model batch 2/3
Browse files- model.safetensors.index.json +389 -0
- provenance/candidate-verification.json +1 -0
- provenance/contract.json +1 -0
- provenance/evidence-audit.json +0 -0
- provenance/experimental-approval.md +32 -0
- provenance/experimental-release.json +1 -0
- provenance/independent-weight-check.json +1 -0
- provenance/merged-bf16-results.md +52 -0
model.safetensors.index.json
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| 1 |
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{
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"metadata": {
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"total_parameters": 2516756480,
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provenance/candidate-verification.json
ADDED
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"8aa878d625668a709f44ddca54d4643781d8cfc6f6cc5aa85363128aaabef32c"}, {"bytes": 9894271, "path": "tokenizer.json", "sha256": "3e065a558a034185fe299917b398685c1facd0169a9eea1e629eb30c171fed81"}, {"bytes": 451, "path": "tokenizer_config.json", "sha256": "9ade1bc52582b9678995023a08617ab19528347811d06cb4ed658bc6d9348823"}], "fp32": [{"greedyIdentical": true, "maxAbsolute": 4.601478576660156e-05, "maxKL": 1.618886180665413e-08, "meanKL": -3.503504686364067e-08, "probe": "brief_thanks", "relativeL2": 2.4299492906720843e-06, "top1Agreement": 1.0}, {"greedyIdentical": true, "maxAbsolute": 6.103515625e-05, "maxKL": 8.317044830619125e-08, "meanKL": 1.980265906809109e-08, "probe": "definition_tab", "relativeL2": 2.504981011952623e-06, "top1Agreement": 1.0}, {"greedyIdentical": true, "maxAbsolute": 6.532669067382812e-05, "maxKL": 8.356306580026285e-08, "meanKL": -2.1137747552302244e-08, "probe": "turkish_sentence", "relativeL2": 3.1571482850267785e-06, "top1Agreement": 1.0}, {"greedyIdentical": true, "maxAbsolute": 5.9723854064941406e-05, "maxKL": 1.6377316569560207e-07, "meanKL": 1.775125646474862e-08, "probe": "plain_summary", "relativeL2": 2.8717195164063014e-06, "top1Agreement": 1.0}, {"greedyIdentical": true, "maxAbsolute": 6.580352783203125e-05, "maxKL": 3.403988557693083e-07, "meanKL": 3.717636332112306e-08, "probe": "single_address", "relativeL2": 2.4546995973651065e-06, "top1Agreement": 1.0}, {"greedyIdentical": true, "maxAbsolute": 0.00010204315185546875, "maxKL": 2.524157594052667e-07, "meanKL": 4.863847280489608e-08, "probe": "escaped_address", "relativeL2": 2.8070771804777905e-06, "top1Agreement": 1.0}, {"greedyIdentical": true, "maxAbsolute": 6.67572021484375e-05, "maxKL": 2.8021582920700894e-07, "meanKL": 4.0257429390067045e-08, "probe": "typed_labels", "relativeL2": 2.6742122827272397e-06, "top1Agreement": 1.0}, {"greedyIdentical": true, "maxAbsolute": 8.106231689453125e-05, "maxKL": 2.3862357423354297e-08, "meanKL": -1.4172083950825254e-08, "probe": "tool_history", "relativeL2": 2.947297161881579e-06, "top1Agreement": 1.0}], "implementationSha256": "8ff37dca66f7d9f97d7e02723f12d5d0da8b3c4ece16aefec3bbe85695427af3", "independentWeightCheckSha256": "8488511233d9803036b554e45c10adc8e0092a87f7eb24e2643bf8b3720fef01", "kv": {"merged_bf16": [{"cacheLength": 26, "decodeLogitsSha256": "e33699b4a7ea6c5f1893ba35187f3b170f70160114685e132084af50c282fd97", "decodedToken": 18020, "fullRecomputeTop1Identical": true, "maxAbsolute": 0.375, "nextTop1": 447, "prefillTokens": 25, "probe": "brief_thanks"}, {"cacheLength": 24, "decodeLogitsSha256": "2b748266c87d84156319e8a7e521e54e395013b04961a3360332dc6c939f746b", "decodedToken": 54, "fullRecomputeTop1Identical": true, "maxAbsolute": 0.1640625, "nextTop1": 28511, "prefillTokens": 23, "probe": "definition_tab"}, {"cacheLength": 38, "decodeLogitsSha256": "7551617564c92438e6629840debcb992b9b6616c1892512f6ca48a5cc8240c01", "decodedToken": 87776, "fullRecomputeTop1Identical": true, "maxAbsolute": 0.25, "nextTop1": 7320, "prefillTokens": 37, "probe": "turkish_sentence"}, {"cacheLength": 31, "decodeLogitsSha256": "822c0c8b0cffcf505ffe0a853768496bbcc2c21595fd4a6e863b1efc5d70219a", "decodedToken": 5615, "fullRecomputeTop1Identical": true, "maxAbsolute": 0.2578125, "nextTop1": 317, "prefillTokens": 30, "probe": "plain_summary"}, {"cacheLength": 222, "decodeLogitsSha256": "66bac405f2023eb8055888f372057cf3d0e3d5cabeb423491ff109a67c9f379b", "decodedToken": 18, "fullRecomputeTop1Identical": true, "maxAbsolute": 0.40625, "nextTop1": 2546, "prefillTokens": 221, "probe": "single_address"}, {"cacheLength": 229, "decodeLogitsSha256": "ca2b42a5cf5474085e8ab7d77211793eaaa91315a4afb6f9d6db3f9cc194d142", "decodedToken": 18, "fullRecomputeTop1Identical": true, "maxAbsolute": 0.390625, "nextTop1": 2546, "prefillTokens": 228, "probe": "escaped_address"}, {"cacheLength": 245, "decodeLogitsSha256": "7d0f1334e416460f07c1cc387c5b87f5d7204e6c6e8c33f430a6b6b456368f04", "decodedToken": 18, "fullRecomputeTop1Identical": true, "maxAbsolute": 0.484375, "nextTop1": 2546, "prefillTokens": 244, "probe": "typed_labels"}, {"cacheLength": 303, "decodeLogitsSha256": "dd5e7ee4acb0c021283630072caf07eed28a775a8a1a9f21c69a8170bc8669ad", "decodedToken": 18, "fullRecomputeTop1Identical": true, "maxAbsolute": 0.46875, "nextTop1": 2546, "prefillTokens": 302, "probe": "tool_history"}], "merged_fp32": [], "reloaded_bf16": [{"cacheLength": 26, "decodeLogitsSha256": "e33699b4a7ea6c5f1893ba35187f3b170f70160114685e132084af50c282fd97", "decodedToken": 18020, "fullRecomputeTop1Identical": true, "maxAbsolute": 0.375, "nextTop1": 447, "prefillTokens": 25, "probe": "brief_thanks"}, {"cacheLength": 24, "decodeLogitsSha256": "2b748266c87d84156319e8a7e521e54e395013b04961a3360332dc6c939f746b", "decodedToken": 54, "fullRecomputeTop1Identical": true, "maxAbsolute": 0.1640625, "nextTop1": 28511, "prefillTokens": 23, "probe": "definition_tab"}, {"cacheLength": 38, "decodeLogitsSha256": "7551617564c92438e6629840debcb992b9b6616c1892512f6ca48a5cc8240c01", "decodedToken": 87776, "fullRecomputeTop1Identical": true, "maxAbsolute": 0.25, "nextTop1": 7320, "prefillTokens": 37, "probe": "turkish_sentence"}, {"cacheLength": 31, "decodeLogitsSha256": "822c0c8b0cffcf505ffe0a853768496bbcc2c21595fd4a6e863b1efc5d70219a", "decodedToken": 5615, "fullRecomputeTop1Identical": true, "maxAbsolute": 0.2578125, "nextTop1": 317, "prefillTokens": 30, "probe": "plain_summary"}, {"cacheLength": 222, "decodeLogitsSha256": "66bac405f2023eb8055888f372057cf3d0e3d5cabeb423491ff109a67c9f379b", "decodedToken": 18, "fullRecomputeTop1Identical": true, "maxAbsolute": 0.40625, "nextTop1": 2546, "prefillTokens": 221, "probe": "single_address"}, {"cacheLength": 229, "decodeLogitsSha256": "ca2b42a5cf5474085e8ab7d77211793eaaa91315a4afb6f9d6db3f9cc194d142", "decodedToken": 18, "fullRecomputeTop1Identical": true, "maxAbsolute": 0.390625, "nextTop1": 2546, "prefillTokens": 228, "probe": "escaped_address"}, {"cacheLength": 245, "decodeLogitsSha256": "7d0f1334e416460f07c1cc387c5b87f5d7204e6c6e8c33f430a6b6b456368f04", "decodedToken": 18, "fullRecomputeTop1Identical": true, "maxAbsolute": 0.484375, "nextTop1": 2546, "prefillTokens": 244, "probe": "typed_labels"}, {"cacheLength": 303, "decodeLogitsSha256": "dd5e7ee4acb0c021283630072caf07eed28a775a8a1a9f21c69a8170bc8669ad", "decodedToken": 18, "fullRecomputeTop1Identical": true, "maxAbsolute": 0.46875, "nextTop1": 2546, "prefillTokens": 302, "probe": "tool_history"}], "unmerged_bf16": [], "unmerged_fp32": []}, "modelDir": "E:\\webbrain-curated-v2-sources\\work\\curated-v2\\compass-v2-model-release-v1\\compass-v2-bf16-v4_2-805c995d3797b8a3\\model", "oldV1V2GateStatus": "failed-preserved", "releaseApproved": false, "reload": [{"greedyIdentical": true, "maxAbsolute": 0.0, "maxKL": 0.0, "meanKL": 0.0, "probe": "brief_thanks", "relativeL2": 0.0, "top1Agreement": 1.0}, {"greedyIdentical": true, "maxAbsolute": 0.0, "maxKL": 0.0, "meanKL": 0.0, "probe": "definition_tab", "relativeL2": 0.0, "top1Agreement": 1.0}, {"greedyIdentical": true, "maxAbsolute": 0.0, "maxKL": 0.0, "meanKL": 0.0, "probe": "turkish_sentence", "relativeL2": 0.0, "top1Agreement": 1.0}, {"greedyIdentical": true, "maxAbsolute": 0.0, "maxKL": 0.0, "meanKL": 0.0, "probe": "plain_summary", "relativeL2": 0.0, "top1Agreement": 1.0}, {"greedyIdentical": true, "maxAbsolute": 0.0, "maxKL": 0.0, "meanKL": 0.0, "probe": "single_address", "relativeL2": 0.0, "top1Agreement": 1.0}, {"greedyIdentical": true, "maxAbsolute": 0.0, "maxKL": 0.0, "meanKL": 0.0, "probe": "escaped_address", "relativeL2": 0.0, "top1Agreement": 1.0}, {"greedyIdentical": true, "maxAbsolute": 0.0, "maxKL": 0.0, "meanKL": 0.0, "probe": "typed_labels", "relativeL2": 0.0, "top1Agreement": 1.0}, {"greedyIdentical": true, "maxAbsolute": 0.0, "maxKL": 0.0, "meanKL": 0.0, "probe": "tool_history", "relativeL2": 0.0, "top1Agreement": 1.0}], "source": {"adapterSha256": "2e1d86e4fd7c377a2db33bf93af6951bf7db941d0a265eed8a934a6fc42feefe", "completionSha256": "805c995d3797b8a3f7ddd402ccf84773021affcafe8a206086ca2dfe06b3c31d", "training": {"configSha256": "0f17b59149993b54d37d742c38498c2866edcdaa24e545300b0f4b7ea7302144", "datasetManifestSha256": "822a167383353f3942f59ad042363fd3bd7b8f5df767b0338345d861cbcca4b1", "finalValidation": {"epoch": 1.0, "eval_ask_loss": 1.2844717502593994, "eval_ask_runtime": 31.426, "eval_ask_samples_per_second": 1.814, "eval_ask_steps_per_second": 1.814, "eval_compact-action-noncommercial-weblinx_loss": 0.011626693420112133, "eval_compact-action-noncommercial-weblinx_runtime": 28.5725, "eval_compact-action-noncommercial-weblinx_samples_per_second": 1.4, "eval_compact-action-noncommercial-weblinx_steps_per_second": 1.4, "eval_compact-action_loss": 1.1079974174499512, "eval_compact-action_runtime": 96.4125, "eval_compact-action_samples_per_second": 1.151, "eval_compact-action_steps_per_second": 1.151, "eval_compact-escalation_loss": 1.4954874515533447, "eval_compact-escalation_runtime": 3.405, "eval_compact-escalation_samples_per_second": 1.468, "eval_compact-escalation_steps_per_second": 1.468, "num_input_tokens_seen": 76993328}, "optimizerStep": 457, "optimizerStepsTotal": 457, "resumeFromCheckpoint": null, "schemaVersion": 1, "sealedTestOpened": false, "smokeSteps": 0, "stateLedger": "E:\\webbrain-curated-v2-sources\\runs\\webbrain-compass-v2-minicpm5-2b-reviewed-runtime-v2\\webbrain-compass-v2-minicpm5-2b-sft-v1-b3c9b2327bfbd41a\\full-one-epoch\\training-state.append-only.jsonl", "status": "webbrain-compass-v2-training-complete", "trainableParameters": 25116672, "trainingLoss": 0.893471076921509}, "trainingReportSha256": "31e459f53bd548e82e8930596107941ccf23c1de2290446be037d48e05d0836c", "verifiedArtifacts": 153}, "status": "candidate-numerical-reload-verified-benchmark-pending", "weightBitInventorySha256": "c1b79bb94f5f33f14fdabaf03c689ef04b26de1c3ea59a46242f9e7b1b0d0db6"}
|
provenance/contract.json
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
{"approvalSha256": "3a0bb819974fffd9ea7f2e9bedc495b7d0bddcb0b4d7b8b143301bc16d926550", "baseImplementationSha256": "f1f57fbaab6d4bc6fd7665adc528f7286c84c7514e60fe8fadd44dbb56b085cf", "benchmarkReleaseGates": {"antiMaximum": 1, "firstTurnErrorsMaximum": 0, "firstTurnStructuredMinimum": 93, "looseMinimum": 43, "scenarioErrorsMaximum": 1, "scoredDenominator": 89, "strictMinimum": 15}, "bf16Differences": "record only, never tune from them; original v1/v2 remain failed", "diagnosticSha256": "7c9645cdfe1f22e43a3a40e5e4275fce5234598349a93827117eccb9a7a9933b", "effectiveImplementationSha256": "3f88b4949121374a2d18b91f85b3c90e4bf6dd14d9718faf2a49b5f108435610", "fp32GreedyIdenticalRequired": true, "fp32MaxAbsoluteMaximum": 0.001, "fp32RelativeL2Maximum": 0.0001, "greedyNewTokenLimit": 32, "helperSha256": "fbc50149bc869bbaa88864f0b9ac8ce1bd96dd89fa5b51574ab5ad1d2d667329", "implementationSha256": "8ff37dca66f7d9f97d7e02723f12d5d0da8b3c4ece16aefec3bbe85695427af3", "independentWeightCheck": {"atol": 1e-06, "method": "CPU raw base + 2*(raw B @ raw A), independently of PEFT merge", "rtol": 1e-05}, "priorAttemptContractSha256": "deaa6b9c4a8b79bf649726edb2ae9cadeb43975dd205c2230b0717b1e16bacf3", "probes": [{"messages": [{"content": "Write a short thank-you sentence for a helpful teammate.", "role": "user"}], "name": "brief_thanks", "tools": null}, {"messages": [{"content": "Explain what a browser tab is in one sentence.", "role": "user"}], "name": "definition_tab", "tools": null}, {"messages": [{"content": "Bir dosyayı kaydetmek ne demek? Tek cümleyle açıkla.", "role": "user"}], "name": "turkish_sentence", "tools": null}, {"messages": [{"content": "Summarize in five words: The meeting starts at noon and ends at one.", "role": "user"}], "name": "plain_summary", "tools": null}, {"messages": [{"content": "Open https://example.net/guide with the available tool.", "role": "user"}], "name": "single_address", "tools": [{"function": {"description": "Open the given address in the browser.", "name": "open_address", "parameters": {"properties": {"address": {"type": "string"}}, "required": ["address"], "type": "object"}}, "type": "function"}]}, {"messages": [{"content": "Open https://example.net/find?name=blue&sort=recent using the tool.", "role": "user"}], "name": "escaped_address", "tools": [{"function": {"description": "Open the given address in the browser.", "name": "open_address", "parameters": {"properties": {"address": {"type": "string"}}, "required": ["address"], "type": "object"}}, "type": "function"}]}, {"messages": [{"content": "Save the labels green and amber with enabled set to false.", "role": "user"}], "name": "typed_labels", "tools": [{"function": {"description": "Store the supplied labels and whether they are enabled.", "name": "save_labels", "parameters": {"properties": {"enabled": {"type": "boolean"}, "labels": {"items": {"type": "string"}, "type": "array"}}, "required": ["labels", "enabled"], "type": "object"}}, "type": "function"}]}, {"messages": [{"content": "Save the label blue and enable it.", "role": "user"}, {"content": "", "role": "assistant", "tool_calls": [{"function": {"arguments": {"enabled": true, "labels": ["blue"]}, "name": "save_labels"}, "id": "calibration_call", "type": "function"}]}, {"content": "{\"saved\":true}", "name": "save_labels", "role": "tool", "tool_call_id": "calibration_call"}, {"content": "Now replace that with the label orange and disable it.", "role": "user"}], "name": "tool_history", "tools": [{"function": {"description": "Store the supplied labels and whether they are enabled.", "name": "save_labels", "parameters": {"properties": {"enabled": {"type": "boolean"}, "labels": {"items": {"type": "string"}, "type": "array"}}, "required": ["labels", "enabled"], "type": "object"}}, "type": "function"}]}], "proposalSha256": "4f012598d50323f587dddf448b1ed3abbe4539b30e8a2bce35537462a51fdf57", "reloadConfigExcludedRuntimeKeys": ["_name_or_path", "_attn_implementation_internal", "transformers_version"], "runtimeCorrection": "Preserve native FP32 nonpersistent RoPE buffers; cast only model parameters. All v4 gates unchanged.", "status": "approved-v4-candidate-contract"}
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provenance/evidence-audit.json
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provenance/experimental-approval.md
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+
# Experimental private release v5 — explicit approval
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| 2 |
+
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| 3 |
+
On 2026-09-10, after being told the exact merged-BF16 scores (94/100 structured,
|
| 4 |
+
16/89 strict, 41/89 loose), the failed >=43/89 loose gate and one malformed XML
|
| 5 |
+
response, the user explicitly answered `evet devam` to the proposed experimental
|
| 6 |
+
private BF16 and ONNX path. The user linked the public comparison blog; this does
|
| 7 |
+
not authorize a blog edit or public model upload.
|
| 8 |
+
|
| 9 |
+
This authorizes a separately labeled EXPERIMENTAL PRIVATE package of the already
|
| 10 |
+
numerically verified, frozen v4.2 BF16 weights, followed by independent ONNX export
|
| 11 |
+
verification and a private ONNX package. The failed v4 quality gate stays failed.
|
| 12 |
+
No threshold changes, regrading, benchmark retries, prompt changes, weight edits,
|
| 13 |
+
or claims of having fully passed v4 are permitted.
|
| 14 |
+
|
| 15 |
+
Source candidate verification SHA256:
|
| 16 |
+
a797ba7921c263142d3c0a43204f188e1424b9c51a95639e2682809415564fce
|
| 17 |
+
Benchmark audit SHA256:
|
| 18 |
+
7231b69d180c74bc3f48875c9beb2fc5707628c322d8a79061f8369c0f59de96
|
| 19 |
+
|
| 20 |
+
Use a NEW experimental release root, leaving candidate and failed attempts intact:
|
| 21 |
+
E:\webbrain-curated-v2-sources\work\curated-v2\compass-v2-model-release-v1\compass-v2-experimental-release-v5-805c995d3797b8a3
|
| 22 |
+
|
| 23 |
+
BF16 destination: webbrain-one/webbrain-compass-v2, private only.
|
| 24 |
+
ONNX destination: webbrain-one/webbrain-compass-v2-onnx, private only, only after
|
| 25 |
+
verified BF16 upload and independent graph/external data/prefill/decode/parity
|
| 26 |
+
checks. Unsupported dtype/operators still require disclosure and direction;
|
| 27 |
+
do not silently substitute precision or upload an unvalidated graph as usable.
|
| 28 |
+
|
| 29 |
+
Preserve source attribution and noncommercial/research-only project restrictions.
|
| 30 |
+
No new training, paid cloud, public release, blog edits, shared-env package changes,
|
| 31 |
+
or work on GPU1/T400, OCR, VL-3, Qwen servers, review routers or unrelated data.
|
| 32 |
+
Only GPU0 RTX 5090 and dedicated export dependencies are authorized.
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provenance/experimental-release.json
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{"benchmarkAuditSha256": "7231b69d180c74bc3f48875c9beb2fc5707628c322d8a79061f8369c0f59de96", "candidateVerificationSha256": "a797ba7921c263142d3c0a43204f188e1424b9c51a95639e2682809415564fce", "cardSourceSha256": "5950622d41c20077316b567dfa9cd733c20649e0c349fc45233b3897a5d42ba8", "createdAt": 1789044702.0034761, "experimental": true, "implementationSha256": "d1e0f51c2cb5a6726c5d6a655939422f108e44e22b41bde6a20304a6fb380c89", "licenseSource": {"sha256": "cfc7749b96f63bd31c3c42b5c471bf756814053e847c10f3eb003417bc523d30", "url": "https://www.apache.org/licenses/LICENSE-2.0.txt"}, "numericalReloadVerified": true, "onnxVerified": false, "originalGateStatus": {"antiAtMost1": true, "looseAtLeast43of89": false, "scenarioErrorsAtMost1": true, "strictAtLeast15of89": true, "structuredAtLeast93of100": true, "zeroFirstTurnErrors": true}, "privateOnly": true, "status": "experimental-private-bf16-authorized-with-disclosed-failed-quality-gate", "userAuthorizationSha256": "fbd937cb8a435c682417809f823d96623ab2f7f518bdb5603cfe95c71bb803b2", "v4QualityPassed": false}
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provenance/independent-weight-check.json
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{"adaptedWeights": 294, "status": "passed", "weights": [{"adapted": false, "maxAbsolute": 0.0, "name": "model.embed_tokens.weight"}, {"adapted": true, "maxAbsolute": 0.0, "name": "model.layers.0.self_attn.q_proj.weight"}, {"adapted": true, "maxAbsolute": 0.0, "name": "model.layers.0.self_attn.k_proj.weight"}, {"adapted": true, "maxAbsolute": 0.0, "name": "model.layers.0.self_attn.v_proj.weight"}, {"adapted": true, "maxAbsolute": 0.0, "name": "model.layers.0.self_attn.o_proj.weight"}, {"adapted": true, "maxAbsolute": 0.0, "name": "model.layers.0.mlp.gate_proj.weight"}, {"adapted": true, "maxAbsolute": 0.0, "name": "model.layers.0.mlp.up_proj.weight"}, {"adapted": true, "maxAbsolute": 0.0, "name": "model.layers.0.mlp.down_proj.weight"}, {"adapted": false, "maxAbsolute": 0.0, "name": "model.layers.0.input_layernorm.weight"}, {"adapted": false, "maxAbsolute": 0.0, "name": "model.layers.0.post_attention_layernorm.weight"}, {"adapted": true, "maxAbsolute": 0.0, "name": 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provenance/merged-bf16-results.md
ADDED
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+
# Compass v2 merged BF16 v4 — result and release boundary
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| 2 |
+
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| 3 |
+
Completed 2026-09-10 15:38 Istanbul, independently audited at 15:39.
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| 4 |
+
This report does not modify the original native-adapter benchmark or its scores.
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| 5 |
+
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| 6 |
+
| Metric | Native final adapter | Merged BF16 candidate | Approved gate |
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| 7 |
+
|---|---:|---:|---:|
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| 8 |
+
| Structured first-turn calls | 93/100 | 94/100 | >=93/100 |
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| 9 |
+
| First-turn HTTP/runner errors | 0 | 0 | 0 |
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| 10 |
+
| Strict tool and arguments | 15/89 | 16/89 | >=15/89 |
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| 11 |
+
| Loose/name-only-inclusive match | 43/89 | 41/89 | >=43/89 — FAILED |
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| 12 |
+
| Known anti-pattern | 1 | 1 | <=1 |
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| 13 |
+
| Scenario HTTP/runner errors | 1 timeout | 0 | <=1 |
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| 14 |
+
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| 15 |
+
The candidate passes the mathematical merge, independent weight, native runtime
|
| 16 |
+
buffer, finite-weight, save/reload identity, eight-probe FP32 and BF16 greedy/logit
|
| 17 |
+
and KV-cache checks. It does NOT pass the complete v4 release contract: loose
|
| 18 |
+
matching drops by two cases, from 48.3% to 46.1%. Strict matching rises by one
|
| 19 |
+
case, from 16.9% to 18.0%. These small-suite results are not statistical evidence
|
| 20 |
+
of broad task performance; no browser actions were executed.
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| 21 |
+
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| 22 |
+
One raw response contains malformed XML (parser reports an invalid token).
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| 23 |
+
This is separately disclosed from the zero HTTP/runner-error count; it was not
|
| 24 |
+
repaired or removed from scoring. There were no length-limited responses.
|
| 25 |
+
All 194 raw responses and all 100 first-turn / 100 scenario result files are
|
| 26 |
+
preserved. Eleven out-of-scope scenarios remain skipped, leaving 89 scored.
|
| 27 |
+
All 193 frozen input/code hashes and every recorded scenario reference field
|
| 28 |
+
match the original native-adapter run.
|
| 29 |
+
|
| 30 |
+
First-turn latency sum: 148,464 ms. Scenario latency sum: 175,697 ms.
|
| 31 |
+
The run no longer includes the prior 300-second timeout; do not present the
|
| 32 |
+
elapsed-time difference as a controlled throughput improvement.
|
| 33 |
+
|
| 34 |
+
Candidate:
|
| 35 |
+
`E:\webbrain-curated-v2-sources\work\curated-v2\compass-v2-model-release-v1\compass-v2-bf16-v4_2-805c995d3797b8a3`
|
| 36 |
+
|
| 37 |
+
Benchmark:
|
| 38 |
+
`E:\webbrain-curated-v2-sources\work\curated-v2\compass-v2-model-release-v1\compass-v2-bf16-benchmark-v4-805c995d3797b8a3`
|
| 39 |
+
|
| 40 |
+
- Candidate verification SHA256: `a797ba7921c263142d3c0a43204f188e1424b9c51a95639e2682809415564fce`.
|
| 41 |
+
- Benchmark completion SHA256: `10039496a9539a2b5aea8a176ce5e87761352da806af2192e702d9420f3b1130`.
|
| 42 |
+
- Evidence audit SHA256: `7231b69d180c74bc3f48875c9beb2fc5707628c322d8a79061f8369c0f59de96`.
|
| 43 |
+
|
| 44 |
+
No model was uploaded and no ONNX export was started. The conditional packager
|
| 45 |
+
was not run. The follow-up is paused pending explicit direction. Do not lower
|
| 46 |
+
the failed gate, selectively rerun cases, revise expected answers, retrain on
|
| 47 |
+
this benchmark or call the candidate fully v4-release-approved.
|
| 48 |
+
|
| 49 |
+
At 15:41 the exact completed benchmark server was stopped after an idle health,
|
| 50 |
+
command-line/ancestry/listener and all-194-responses check. Other servers were
|
| 51 |
+
not touched. Shutdown provenance is in server-stop-preflight.json and
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| 52 |
+
server-stopped.json under the benchmark root. All failures and originals remain.
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