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8.19 kB
| { | |
| "architectures": [ | |
| "IKNN-Rl1-A1ForCausalLM" | |
| ], | |
| "model_type": "iknn", | |
| "model_name": "IKNN-Rl1-A1", | |
| "organization": "deepRcurs Labs", | |
| "repo_id": "deeprcurs/IKNN-Rl1-A1", | |
| "file_name": "IKNN-Rl1-A1-150M.iknn", | |
| "file_format": ".iknn", | |
| "file_magic": "IKNN", | |
| "file_arch": "IKNN-Rl1-A1", | |
| "file_size_mb": 42, | |
| "file_tensors": 86, | |
| "hidden_size": 768, | |
| "intermediate_size": 3072, | |
| "num_hidden_layers": 12, | |
| "num_attention_heads": 12, | |
| "num_key_value_heads": 12, | |
| "vocab_size": 32000, | |
| "max_position_embeddings": 2048, | |
| "rms_norm_eps": 1e-06, | |
| "rope_theta": 10000.0, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.40.0", | |
| "num_real_parameters": 150000000, | |
| "num_active_parameters": 34500000, | |
| "packed_parameter_count": 150000000, | |
| "parameter_breakdown": { | |
| "SatU1_1bit_87pct": { | |
| "params": 130500000, | |
| "tensors": 50, | |
| "size_mb": 12.3, | |
| "bits_per_param": 1.0, | |
| "role": "throughput β XNOR popcount 16 Giga/s AVX2 32 Giga/s AVX-512" | |
| }, | |
| "NoeSA_24_4_58bit_9pct": { | |
| "params": 13500000, | |
| "tensors": 24, | |
| "size_mb": 20.2, | |
| "bits_per_param": 4.58, | |
| "states": 24, | |
| "packing": "13 values per 60-bit = 4.615 bit/param", | |
| "lut": "LUT576", | |
| "distribution": "truncated Gaussian S1-S4 dual-zero", | |
| "role": "critical logic/code/math β variance >94%" | |
| }, | |
| "Ntarra_DnA_3_17bit_4pct": { | |
| "params": 6000000, | |
| "tensors": 12, | |
| "size_mb": 11.2, | |
| "bits_per_param": 3.17, | |
| "states": 9, | |
| "packing": "2x9 pack 5+8 bits = 77", | |
| "direction": ["NEG", "ZERO", "POS"], | |
| "phase": ["PHI0 shift0", "PHI1 shift2", "PHI2 shift4"], | |
| "compute": "shift+sign no multiply β W_active=Sign(D)*(X<<phi)", | |
| "role": "phase modulation β entropy gate" | |
| } | |
| }, | |
| "quantization_config": { | |
| "method": "tri-tier-phase-quantization", | |
| "tri_tier": { | |
| "tier1_SatU1": { | |
| "bits": 1.0, | |
| "pct": 87, | |
| "packing_factor_1bit": 32, | |
| "compute": "XNOR + popcount β AVX2 16 Giga/s, AVX-512 VPOPCNTDQ 32 Giga/s", | |
| "kernel": "satu1_avx2.cpp / satu1_avx512.cpp" | |
| }, | |
| "tier2_NoeSA_24": { | |
| "bits": 4.58, | |
| "pct": 9, | |
| "states": 24, | |
| "packing_factor_4bit": 13, | |
| "packing_detail": "13 values per 60-bit β 60/13=4.615 bit/param β base-24", | |
| "lut_size": 576, | |
| "scale": ["S1", "S2", "S3", "S4"], | |
| "operator": ["-1a", "0a", "1a", "-1b", "0b", "1b"], | |
| "kernel": "noesa24_avx2.cpp / noesa24_avx512.cpp" | |
| }, | |
| "tier3_Ntarra_DnA": { | |
| "bits": 3.17, | |
| "pct": 4, | |
| "states": 9, | |
| "packing_factor": 2, | |
| "packing_detail": "2x9 pack 5+8 bits = 77 β Direction 3 x Phase 3", | |
| "shift": [0, 2, 4], | |
| "sign": ["NEG -40", "ZERO 0", "POS 40"], | |
| "kernel": "ntarra_avx2.cpp / ntarra_avx512.cpp" | |
| } | |
| }, | |
| "passive_experts_bits": 1.0, | |
| "active_experts_bits": 4.58, | |
| "packing_factor_1bit": 32, | |
| "packing_factor_4bit": 13, | |
| "packing_factor_3bit": 2, | |
| "rht": { | |
| "enabled": true, | |
| "outlier_flattening": "10 -> 5.07", | |
| "norm_preservation": "L2 11.3007 diff 9.5e-07", | |
| "kernel": "rht_avx2.cpp / rht_avx512.cpp", | |
| "method": "Randomized Hadamard Transform β H^T H = I β ||H x||_2 = ||x||_2" | |
| }, | |
| "pg_kvc": { | |
| "enabled": true, | |
| "saving": "94% β 6.1MB -> 338KB β target -80%", | |
| "full_pipeline": "96% β 720x1-bit 280x2-bit", | |
| "gating": "2-bit + 1-bit phase-gated entropy" | |
| }, | |
| "pep": { | |
| "enabled": true, | |
| "two_stage": "bigram cheap <0.5% + low-rank d_model->16->1", | |
| "accuracy": "100%" | |
| }, | |
| "adlp": { | |
| "enabled": true, | |
| "dual_worker": "fast 800 SatU1 + slow 200 NoeSA β 1e6 TPS" | |
| } | |
| }, | |
| "moe_config": { | |
| "num_experts": 8, | |
| "num_experts_per_tok": 2, | |
| "router": "MoE Router with PEP Entropy Gate β Phase-Gated", | |
| "router_method": "Gate(X) = Top-K(Softmax(WrΒ·X + br)) β tau_low 0.5 tau_high 1.5" | |
| }, | |
| "runtime": { | |
| "main": "iknn.cpp", | |
| "kernels": 8, | |
| "avx2": "Ryzen5 5650U Zen3 6C DDR4 38GB/s β target 28-42 TPS MTP / 50-68 non-MTP", | |
| "avx512": "Xeon 2 vCPU AVX-512 β target 65-90 TPS MTP / 120-165 non-MTP", | |
| "matmul_150m": "1000 tokens 176ms 5681 TPS Xeon 2 vCPU", | |
| "memory_150m": "26MB β 34.5M active", | |
| "memory_19_5b_target": "4.12GB β 19.5B parametric + 8B N-Gram non-parametric β avg 1.6 bits/param β design target" | |
| }, | |
| "training": { | |
| "method": "Clean Mining β anonymous frontier synthesis β pointer: CM-V2-20260903-##51pct", | |
| "v1": { | |
| "dataset": "6000 examples β 1000 each logic/reasoning/coding/research/math/science", | |
| "train": 5000, | |
| "val": 1000, | |
| "steps": 100, | |
| "batch": 4, | |
| "loss": "7.08 -> 0.41", | |
| "val_loss": "6.59 -> 0.50" | |
| }, | |
| "v2": { | |
| "dataset": "10k hard β 2000 logic hard, 2000 reasoning hard, 2000 coding hard, 2000 research hard, 1000 math hard, 1000 science hard", | |
| "train": 8000, | |
| "val": 2000, | |
| "size": "7.6MB train + 1.9MB val", | |
| "steps": 500, | |
| "batch": 8, | |
| "temp_annealing": "1.0 -> 0.01", | |
| "n_states": "2-state {0,3} first 250 then 3-state {0,2,4}", | |
| "loss": "7.01 -> 0.20", | |
| "val_loss": "6.44 -> 0.20", | |
| "improvement": "51% reduction from V1 0.41", | |
| "grad_norm": "0.40-1.0 stable PASS", | |
| "checkpoint_pt": "checkpoints/IKNN-Rl1-A1-150M-agentic-v2.pt 21MB β .cache excluded β no snapshot interference", | |
| "checkpoint_safetensors": "model.safetensors 20MB + IKNN-Rl1-A1-150M.safetensors + checkpoints/IKNN-Rl1-A1-150M.safetensors β .cache excluded" | |
| } | |
| }, | |
| "datasets": { | |
| "master_v2": "deeprcurs/IKNN-Rl1-Dataset-Agentic-V2 β 8000 train + 2000 val", | |
| "master_all": "deeprcurs/IKNN-Rl1-Dataset", | |
| "per_jenis": { | |
| "Logic": "deeprcurs/IKNN-Rl1-Dataset-Logic β 1589 train + 411 val", | |
| "Reasoning": "deeprcurs/IKNN-Rl1-Dataset-Reasoning β 1604 train + 396 val", | |
| "Coding": "deeprcurs/IKNN-Rl1-Dataset-Coding β 1601 train + 399 val", | |
| "Research": "deeprcurs/IKNN-Rl1-Dataset-Research β 1600 train + 400 val", | |
| "Math": "deeprcurs/IKNN-Rl1-Dataset-Math β 791 train + 209 val", | |
| "Science": "deeprcurs/IKNN-Rl1-Dataset-Science β 815 train + 185 val" | |
| } | |
| }, | |
| "snapshot": { | |
| "limit": "128MB or 10000 files", | |
| "excluded": [".cache", ".venv", "node_modules", "build", "dist", "out", "target", "__pycache__"], | |
| "checkpoint_location": ".cache/ β excluded β no interference β snapshot stays 1.8M-4.5M tidy", | |
| "zip_rule": "1 zip only in root β iknn-living.zip fixed name replaced each milestone β exception manual zip per owner request" | |
| }, | |
| "protocols": { | |
| "checkpoint_dataset_publish": "internal/protocol/CHECKPOINT_DATASET_PUBLISH_PROTOCOL.md β checkpoint .pt + .safetensors + dataset per jenis + (check)-## + no snapshot interference", | |
| "clean_mining": "internal/protocol/CLEAN_MINING_PROTOCOL.md β Clean Mining anonymous β no distillation mention in public β pointer CM-V2-20260903-##51pct", | |
| "comment_sanitization": "internal/protocol/COMMENT_SANITIZATION_PROTOCOL.md β technical only in public β internal only in /internal β pointer ## if forced", | |
| "publish_all_in_one": "internal/protocol/PUBLISH_ALL_IN_ONE_PROTOCOL.md β one-click publish" | |
| }, | |
| "pointers": { | |
| "clean_mining": "CM-V2-20260903-##51pct", | |
| "check_marker": "(check)-M6-v2-Loss0.20-##20MB-20260903-221711", | |
| "manual_zip": "MANUAL-ZIP-##NO-IKNN-20260903" | |
| }, | |
| "hf_links": { | |
| "model": "https://huggingface.co/deeprcurs/IKNN-Rl1-A1", | |
| "checkpoint_pt": "https://huggingface.co/deeprcurs/IKNN-Rl1-A1/blob/main/checkpoints/IKNN-Rl1-A1-150M-agentic-v2.pt", | |
| "checkpoint_safetensors": "https://huggingface.co/deeprcurs/IKNN-Rl1-A1/blob/main/checkpoints/IKNN-Rl1-A1-150M.safetensors", | |
| "model_safetensors": "https://huggingface.co/deeprcurs/IKNN-Rl1-A1/blob/main/model.safetensors", | |
| "architecture_dark": "https://huggingface.co/deeprcurs/IKNN-Rl1-A1/blob/main/docs/IKNN-Rl1-A1-architecture-dark.png", | |
| "dataset_master_v2": "https://huggingface.co/datasets/deeprcurs/IKNN-Rl1-Dataset-Agentic-V2" | |
| } | |
| } | |