Jackrong/Qwopus3.8-27B-Flash-V2-GGUF
image-text-to-text model by Jackrong
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.
Qwopus3.8-27B-Flash-V2 is a renewed post-training release of Qwopus3.8-27B-Flash, which itself is built on Qwen3.8-27B. The goal remains the same: preserve enough capability for demanding work while reducing ineffective reasoning and making long-running agent workloads more practical. An agent amplifies reasoning cost. A normal chat may call a model once, but one agent task can call it dozens or hundreds of times through a repeated loop: Inference cost is also a central commercialization constraint. Every generated token consumes GPU time, electricity, memory capacity, and concurrency budget. Flash models are intended to give users with constrained resources a more practical experience, not merely to produce a higher throughput number on paper. V2 keeps this efficiency-oriented philosophy while applying another round of post-training to the Flash model. It uses different reward functions and reinforcement-learning methods from the earlier Flash training run. The objective is to reduce ineffective computation and reach a clean completion…
Read the full model card ↗ · Preview checked 2026-10-30T07:20:27.406Z
Inside the original model card — Document outline
- 🪐 Qwopus3.8-27B-Flash-V2
- 💡 1. Fine-Tuning Philosophy — Preserve Capability, Collapse Cost
- Five-Story Pagoda Garden — Visual Output Comparison
- Original Base Model — Qwen3.8-27B
- Fine-Tuned Model — Qwopus3.8-27B-Flash-V2
- 🧪 2. Fine-Tuning Cookbook
- 2.1 Base Model and Training Lineage
- 2.2 Stage 1 — Inherited Data Preparation and Quality SFT
- 2.3 Stage 2 — Inherited Reasoning Reinforcement
- 2.4 Python Indentation — Working Hypothesis
- 2.5 Recommended Coding Parameters — xhigh with temperature=0.3
- 🙏 3. Training Stack, Testing, and Collaboration
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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
Jackrong/Qwopus3.8-27B-Flash-V2-GGUF is a image-text-to-text model repository published by Jackrong on Hugging Face. The source reports the transformers 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
- transformers
- Recent downloads (30 days)
- 944,685
- Cumulative likes
- 72
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-19T16:38:01.000Z
- Last modified
- 2026-09-21T23:12:05.000Z
Compatibility and lineage
Reported languages: en, zh, es, ru, ja
Reported base models: Jackrong/Qwopus3.8-27B-Flash
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.