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ruv a73a17e264 feat: ADR-071 ruvllm training pipeline — contrastive + LoRA + TurboQuant 
5-phase training pipeline using ruvllm (Rust-native, no PyTorch):
1. Contrastive pretraining (triplet + InfoNCE, 5 triplet strategies)
2. Task head training (presence, activity, vitals via SONA)
3. Per-node LoRA refinement (rank-4, room-specific adaptation)
4. TurboQuant quantization (2/4/8-bit, 6-8x compression)
5. EWC consolidation (prevent catastrophic forgetting)

Exports: SafeTensors, HuggingFace config, RVF, per-node LoRA, quantized
Validated: 249 triplets, 37,775 emb/s, 100% presence accuracy on test data
Target: <5 min training on M4 Pro, <10ms inference on Pi Zero

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-02 22:27:24 -04:00
..
swarm_presets feat: QEMU ESP32-S3 testing platform + swarm configurator (ADR-061/062) (#260) 2026-03-14 13:39:51 -04:00
benchmark-model.py feat: GCloud GPU training pipeline + data collection + benchmarking 2026-04-02 22:04:57 -04:00
benchmark-ruvllm.js feat: ADR-071 ruvllm training pipeline — contrastive + LoRA + TurboQuant 2026-04-02 22:27:24 -04:00
check_health.py feat: QEMU ESP32-S3 testing platform + swarm configurator (ADR-061/062) (#260) 2026-03-14 13:39:51 -04:00
collect-training-data.py feat: GCloud GPU training pipeline + data collection + benchmarking 2026-04-02 22:04:57 -04:00
esp32_wasm_test.py feat: add ADR-042 CHCI protocol, 24 new edge modules, README restructure 2026-03-03 11:35:57 -05:00
gcloud-train.sh feat: GCloud GPU training pipeline + data collection + benchmarking 2026-04-02 22:04:57 -04:00
generate-witness-bundle.sh feat: 100% validated witness bundle with proof hash + generator script 2026-03-01 15:51:38 -05:00
generate_nvs_matrix.py fix(firmware): fall detection, 4MB flash, QEMU CI (#263, #265) 2026-03-15 11:49:29 -04:00
inject_fault.py feat: QEMU ESP32-S3 testing platform + swarm configurator (ADR-061/062) (#260) 2026-03-14 13:39:51 -04:00
install-qemu.sh feat: QEMU ESP32-S3 testing platform + swarm configurator (ADR-061/062) (#260) 2026-03-14 13:39:51 -04:00
mmwave_fusion_bridge.py feat: ADR-063/064 mmWave sensor fusion + multimodal ambient intelligence (#269) 2026-03-15 16:10:10 -04:00
provision.py fix(firmware): provision.py nvs import + partition config template 2026-03-10 08:40:47 -04:00
publish-huggingface.py feat: HuggingFace model publishing pipeline + model card 2026-04-02 22:04:16 -04:00
publish-huggingface.sh feat: HuggingFace model publishing pipeline + model card 2026-04-02 22:04:16 -04:00
qemu-chaos-test.sh feat: QEMU ESP32-S3 testing platform + swarm configurator (ADR-061/062) (#260) 2026-03-14 13:39:51 -04:00
qemu-cli.sh feat: QEMU ESP32-S3 testing platform + swarm configurator (ADR-061/062) (#260) 2026-03-14 13:39:51 -04:00
qemu-esp32s3-test.sh feat: QEMU ESP32-S3 testing platform + swarm configurator (ADR-061/062) (#260) 2026-03-14 13:39:51 -04:00
qemu-mesh-test.sh feat: QEMU ESP32-S3 testing platform + swarm configurator (ADR-061/062) (#260) 2026-03-14 13:39:51 -04:00
qemu-snapshot-test.sh feat: QEMU ESP32-S3 testing platform + swarm configurator (ADR-061/062) (#260) 2026-03-14 13:39:51 -04:00
qemu_swarm.py fix(firmware): fall detection, 4MB flash, QEMU CI (#263, #265) 2026-03-15 11:49:29 -04:00
release-v0.5.4.sh feat: ADR-069 ESP32 CSI → Cognitum Seed RVF pipeline (v0.5.4-esp32) 2026-04-02 19:32:18 -04:00
seed_csi_bridge.py feat: ADR-069 ESP32 CSI → Cognitum Seed RVF pipeline (v0.5.4-esp32) 2026-04-02 19:32:18 -04:00
swarm_health.py feat: QEMU ESP32-S3 testing platform + swarm configurator (ADR-061/062) (#260) 2026-03-14 13:39:51 -04:00
train-ruvllm.js feat: ADR-071 ruvllm training pipeline — contrastive + LoRA + TurboQuant 2026-04-02 22:27:24 -04:00
training-config-sweep.json feat: GCloud GPU training pipeline + data collection + benchmarking 2026-04-02 22:04:57 -04:00
validate_mesh_test.py feat: QEMU ESP32-S3 testing platform + swarm configurator (ADR-061/062) (#260) 2026-03-14 13:39:51 -04:00
validate_qemu_output.py fix(firmware): fall detection, 4MB flash, QEMU CI (#263, #265) 2026-03-15 11:49:29 -04:00