vcruz305/CYBER-FROST-3.8-SAGE-REXL3-3.35bpw
text-generation model by vcruz305
From the publisher
Model card & documentation
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Official collaboration with Blackfrost-AI (Sir Frosty) on the REXL3 / EXL3 conversion of CYBER-FROST-3.8 (Blackfrost-AI/CYBER-FROST-3.8-BF16). Quantized by vcruz305 with SAGE, our own mixed-precision quantization method for EXL3. The method is not published. Tensors use different EXL3 K values; the kernels read K from each trellis tensor at load. This pack is the SAGE REXL3 deployment artifact of CYBER-FROST-3.8, for security professionals conducting authorized research, assessment, engineering, and response work. It is a standalone checkpoint, not an adapter, and it does not require the BF16 parent at load time. Serving: DEPLOY.md. An agent should follow that file. It builds vcruz305/exllamav3 through the Qwen3.8-Flash-Next recipe at the measured fork pin, and it does not use the recipe's default pack. Teacher-forced token-level agreement with the unquantized BF16 release (Blackfrost-AI/CYBER-FROST-3.8-BF16), full-vocabulary (248,320) float64 KL divergence per token. e2ev9 is the 5-domain suite (Code, Math, Reasoning, Cyber / Systems Audit, General), e2eeval is the 4-domain…
Read the full model card ↗ · Preview checked 2026-11-01T08:44:36.610Z
Inside the original model card — Document outline
- CYBER-FROST-3.8 — SAGE REXL3 3.35 bpw
- Measured quality
- Per-category breakdown
- Full evaluation breakdown (all splits & long-context)
- Release status and contents
- Why Cyber-Frost exists
- Security corpus
- Model specifications
- Lineage
- Prompt, tool use, and sampling
- Deployment
- Intended use
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Model overview
vcruz305/CYBER-FROST-3.8-SAGE-REXL3-3.35bpw is a text-generation model repository published by vcruz305 on Hugging Face. The source reports the exllamav3 library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- exllamav3
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 28,311,787,008
- Architecture
- Qwen4ExpForConditionalGeneration
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-11-01T06:31:53.000Z
- Last modified
- 2026-11-01T06:44:20.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Blackfrost-AI/CYBER-FROST-3.8-BF16
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:50:35.005Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.