Text Generation
Transformers
Safetensors
qwen4_exp
image-text-to-text
qwen
qwen4-exp
Mixture of Experts
nvfp4
fp4
fp4-local
modelopt
mxfp8
csf
mtp
speculative-decoding
cybersecurity
security-research
red-team
blue-team
purple-team
llm-agent
fuzzing
vulnerability-research
tool-use
conversational
8-bit precision
| { | |
| "artifact": "Blackfrost-AI/CYBER-FROST-3.8-FP4-Local", | |
| "clean_model_name": "CYBER-FROST-3.8-FP4-Local", | |
| "release_date": "2026-10-17", | |
| "release_type": "quantization re-export", | |
| "training_added": false, | |
| "lora_added": false, | |
| "new_fine_tuning": false, | |
| "lineage": { | |
| "foundational_checkpoint": { | |
| "repo": "Qwen/Qwen3.8-Flash-Next", | |
| "revision": "de4b8e4d43b917e7706784d8bb445c9af86a3540" | |
| }, | |
| "security_adaptation": { | |
| "stage": "BLACKFROST-3.8-FLASH-BF16", | |
| "description": "security-domain fine-tuning followed by full BF16 merge" | |
| }, | |
| "behavioral_stage": { | |
| "description": "Blackfrost-AI behavioral derivative targeting reduced false-refusal friction in authorized security workflows", | |
| "process_distributed": false | |
| }, | |
| "bf16_source": { | |
| "repo": "Blackfrost-AI/CYBER-FROST-3.8-BF16", | |
| "revision": "5321904427c4ef54df8a667edcbc2d1184e4286e" | |
| }, | |
| "nvfp4_v2_export": { | |
| "repo": "Blackfrost-AI/CYBER-FROST-3.8-NVFP4-V2", | |
| "date": "2026-10-02", | |
| "description": "routed expert projections to ModelOpt NVFP4 W4A4 g16 with per-expert shared gate/up global scales" | |
| }, | |
| "fp4_local_export": { | |
| "date": "2026-10-17", | |
| "description": "this repository" | |
| } | |
| }, | |
| "conversion": { | |
| "format_reference": { | |
| "repo": "nvidia/Qwen3.8-Flash-Next-FP4-Local", | |
| "role": "on-disk format and index-structure reference only; not weight or behavioral lineage", | |
| "shards": 21 | |
| }, | |
| "modelopt_version_reported": "0.47.0rc0", | |
| "pipeline": "DWM_Models/runs/cyber-frost/20261017-fp4-local/convert_fp4_local.py", | |
| "workers": 16, | |
| "wall_clock_minutes_approx": 9, | |
| "tensor_provenance": [ | |
| { | |
| "class": "copy_v2", | |
| "description": "routed expert packed weights and FP32 outer scales", | |
| "count": 221184, | |
| "bytes_gib": 56.25, | |
| "method": "byte-copy from CYBER-FROST-3.8-NVFP4-V2" | |
| }, | |
| { | |
| "class": "csf_fixed", | |
| "description": "per-16-row base byte plus packed 4-bit offset codes", | |
| "count": 73728, | |
| "bytes_gib": 3.6, | |
| "method": "fresh CSF encode of V2 scale planes" | |
| }, | |
| { | |
| "class": "csf_exceptions", | |
| "description": "out-of-range scale entries as flat_pos | (exact_byte << 24)", | |
| "count": 73728, | |
| "bytes_mib": 92, | |
| "method": "fresh CSF encode; counts data-dependent" | |
| }, | |
| { | |
| "class": "ple_w", | |
| "description": "PLE n-gram table packed four-bit weights", | |
| "count": 128, | |
| "bytes_gib": 23.8, | |
| "method": "fresh NVFP4 two-level encode of BF16 source" | |
| }, | |
| { | |
| "class": "ple_s", | |
| "description": "PLE n-gram scale planes", | |
| "count": 128, | |
| "bytes_gib": 3.0, | |
| "method": "fresh two-level encode" | |
| }, | |
| { | |
| "class": "mxfp8_w", | |
| "description": "attention and shared expert projections", | |
| "count": 438, | |
| "bytes_gib": 2.9, | |
| "method": "fresh MXFP8 encode, ModelOpt semantics" | |
| }, | |
| { | |
| "class": "mtp_w", | |
| "description": "MTP W4A16 experts", | |
| "count": 512, | |
| "bytes_gib": 1.2, | |
| "method": "fresh encode of fused gate_up/down" | |
| }, | |
| { | |
| "class": "preserved", | |
| "description": "norms, embeddings, lm_head, PLE metadata", | |
| "bytes_gib": 3.9, | |
| "method": "source bytes; norms upcast BF16 to F32 per reference dtype" | |
| } | |
| ] | |
| }, | |
| "corpus_provenance": { | |
| "note": "Inherited from the BF16 parent; the FP4-Local conversion added no new fine-tuning data", | |
| "teacher_policy": "frontier-scale only; teachers below the 753B-parameter class excluded", | |
| "teacher_manifest_complete": false, | |
| "independently_bound_subset": "one security subset bound to a Qwen3.8 2.4T teacher", | |
| "licensing_review_status": "in progress for mixed-source corpus" | |
| }, | |
| "known_deltas_vs_reference": [ | |
| "nvfp4_csf_exceptions tensor counts differ from NVIDIA's Qwen release because the encoded planes differ (different weights). Storage format, codec, and reconstruction semantics are identical.", | |
| "Residual 0.4-0.6% adjacent-step differences in freshly encoded packed weights (PLE, MTP, MXFP8 paths) stem from QAD rounding edge cases on different weight distributions. The recipe is byte-validated against NVIDIA's own outputs.", | |
| "quantization_config.quantized_layers ships verbatim from the reference config and includes vestigial mtp.layers.48.* keys present in neither model's tensors." | |
| ] | |
| } |