Qwopus3.6 27B V2 MTP GGUF
Qwopus3.6 27B V2 MTP GGUF by Jackrong, a text-generation model with multimodal capabilities. Understand and compare multimodal features, benchmarks, and capabilities.
Comparison
| Feature | Qwopus3.6 27B V2 MTP GGUF | Interfaze |
|---|---|---|
| Input Modalities | text, image | image, text, audio, video, document |
| Native OCR | No | Yes |
| Long Document Processing | No | Yes |
| Language Support | 162 partial | 162+ |
| Native Speech-to-Text | No | Yes |
| Native Object Detection | No | Yes |
| Guardrail Controls | Yes | Yes |
| Context Input Size | 1M | 1M |
| Tool Calling | Yes | Tool calling supported + built in browser, code execution and web search |
Scaling
| Feature | Qwopus3.6 27B V2 MTP GGUF | Interfaze |
|---|---|---|
| Scaling | Self-hosted/Provider-hosted with quantization | Unlimited |
View model card on Hugging Face
💡 1. Base Model, Training Library & Cooperation
[!WARNING] Community Release Notice: Qwopus3.6-27B-v2-MTP is an experimental community release intended for research, evaluation, and workflow exploration.
🚀 2. MTP Benchmark: Qwen3.6-27B vs Qwopus3.6-27B-v2-MTP
- Speed: Qwopus3.6-27B-v2-MTP reaches 10.46 overall tokens/sec, compared with 6.29 tokens/sec for Qwen3.6-27B.
- Latency: total evaluation time drops from 14,901.69s to 6,487.81s, saving 8,413.88s across the full run.
- Output shape: MTP produces 67,862 completion tokens versus 93,802 from Qwen3.6-27B, giving a more compact overall response profile.
[!IMPORTANT] Benchmark source:
/workspace/renji-training/Jackrong/qwopus3.6-27B-v2-MTP/benchmark_27b_pair_report.mdon the GB10 server. Local workspace date: 2026-05-22.
⚙️ 3. Test Environment & Configuration
- Compute platform: GB10 dedicated server platform.
- Evaluation format: same local GGUF server stack for both models.
- llama-server total context:
49152. - Temperature / Top-p:
1.0 / 0.95. - Max generated tokens: no explicit cap; generation is bounded by the request budget.
- Request format:
/v1/chat/completionswith user content as text payload.
📊 4. Full 30-Question Comparison
🧭 5. Domain Reading
🎯 6. Recommended Use Cases
- Agentic coding and code review assistance.
- DevOps runbooks, configuration generation, and incident diagnosis.
- Multi-step math and probability derivations.
- Structured reasoning with explicit intermediate logic.
- Fast constrained output generation where latency matters.