peculiar-ragdoll/Cyber-Tiel-Coder-35B-A3B-GGUF-MTP
image-text-to-text model by peculiar-ragdoll
From the publisher
Model card & documentation
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CyberTiel outcodes every other 35B-A3B at Q4 quantization (and spring-of-2026 frontier models), while engaging with offensive security work without hesitation or refusal. As a sweet spot between speed and ability, CyberTiel delivers agentic coding solves about 3-4x faster than 3.8-27B dense. This is the first time the frontier coder in this size/speed class is an uncensored model. If you need a safer censored alternative, go for TielCoder. SWE-bench-Live tests the model's ability to autonomously solve a set of real issues and bugs in large codebases, published continuously and recently, with hidden regression tests catching if you broke something trying to fix something. Doing well on SWE-bench-Live represents real world autonomous production coding ability: the opposite of "benchmaxxing" and answer memorization for programming work. With its optimizations, CyberTiel Q4 (22GB) represents a new frontier in quantized 35B-A3B MoE coders, suitable to solve real-world programming problems at speed, even on low-power hardware…
Read the full model card ↗ · Preview checked 2026-10-30T14:30:53.872Z
Inside the original model card — Document outline
- All power to all people
- Abliterated: Willing, able and slightly unstable
- Run it
- Use it
- The multi-token-prediction head
- The CyberTiel imatrix
- Benchmarks disclaimer
- Credits
- Citation
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Model overview
peculiar-ragdoll/Cyber-Tiel-Coder-35B-A3B-GGUF-MTP is a image-text-to-text model repository published by peculiar-ragdoll on Hugging Face. The source reports the gguf library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-text
- Library
- gguf
- Recent downloads (30 days)
- 933,876
- Cumulative likes
- 325
- Hugging Face trending score
- 50
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-08-31T23:57:36.000Z
- Last modified
- 2026-10-26T21:17:20.000Z
Compatibility and lineage
Reported languages: en, zh
Reported base models: huihui-ai/Huihui-Ornith-1.5-35B-A3B-abliterated
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 2026-11-01T06:51:30.840Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.