orcarouter/OrcaSAQ-2-27B
text-generation model by orcarouter
Older snapshot: check the original source for current information.
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
OrcaSAQ2 27B 🛡️ New from Orca — OrcaCyber Zero 1.5 Post-trained for cybersecurity: vulnerability analysis, vulnerability reproduction, red teaming & offensive-security research. 98.01% pass@1 on CyberGym Level 1 · 1M context · function calling · OpenAI-compatible API. 🔌 New from Orca — Orca Connect Serving this with vLLM? Orca Connect puts the rig under your desk behind your usual OrcaRouter API key, next to 200+ hosted models, reachable from a laptop, a phone or a cloud agent. Outbound only: no port forwarding, no tunnel, no firewall rule. Requests your own hardware serves cost $0, and orca-connect claude points Claude Code at your rig for one session. High-fidelity 3-bit Qwen3.8 for long-horizon agents. 54 GB → 12.3 GB · +0.02% PPL · 93.2% Top-1 Agreement · 0.031 KLD · 262K Context OrcaRouter AI Gateway · X · Discord · GitHub · All Models OrcaSAQ2 is a proprietary sensitivity-aware mixed-precision quantization system developed…
Read the full model card ↗ · Preview checked 2026-11-04T17:46:00.767Z
Inside the original model card — Document outline
- At a glance
- BF16 fidelity
- WikiText-2
- Perplexity
- Top-1 agreement
- Model footprint
- Long-horizon agents
- Low-bit fidelity matters more as the horizon grows.
- Why this matters
- Long-horizon performance
- SWE-bench Verified
- Terminal-Bench 2.1
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
orcarouter/OrcaSAQ-2-27B is a text-generation model repository published by orcarouter on Hugging Face. The source reports the vllm 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
- vllm
- Recent downloads (30 days)
- 4,756
- Cumulative likes
- 274
- Hugging Face trending score
- 55
- Reported safetensors parameters
- 6,770,790,400
- Architecture
- Qwen3_5ForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-24T03:44:51.000Z
- Last modified
- 2026-10-02T04:18:18.000Z
Compatibility and lineage
Reported languages: en, zh
Reported base models: Qwen/Qwen3.8-27B
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
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-07T06:39:06.329Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.