cc1244578151/Qwen3.8-Flash-Next-GSQ-RCO-GGUF
image-text-to-text model by cc1244578151
From the publisher
Model card & documentation
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Non-uniform GGUF quantizations of a 512-expert MoE, produced with GSQ and RCO, with a vision projector for multimodal use. [](https://arxiv.org/abs/2604.18556) [](https://arxiv.org/abs/2605.00649) [](https://github.com/IST-DASLab/GSQ) [](https://github.com/IST-DASLab/RCO) [](https://github.com/IST-DASLab) [](#license) This repository provides GGUF quantizations of Qwen3.8-Flash-Next at four sizes, together with the model's vision projector (mmproj) for multimodal use. In contrast to uniform quantization, which applies a single quantization type to all weight tensors, each model here assigns a separate quantization type to every tensor. The assignment is obtained by a gradient-based search that allocates precision according to per-tensor sensitivity, subject to a total size budget. The resulting files are standard GGUF and run unmodified in llama.cpp, Ollama, and LM Studio. A code-specialized variant is released separately as Qwen3.8-Flash-Next-GSQ-RCO-Coder, which retains 256 of the 512 routed experts per layer at an effective 1.89 bpw over the original parameters, for a 58.4 GB total. Flash-Next is a sparse mixture-of-experts model: 512 routed experts per layer…
Read the full model card ↗ · Preview checked 2026-10-08T07:57:14.118Z
Inside the original model card — Document outline
- Qwen3.8-Flash-Next · GSQ-RCO GGUFs
- Overview
- Available files
- Memory requirements
- Performance
- Results
- Usage
- llama.cpp
- Strata Engine
- Vision (multimodal)
- Ollama
- LM Studio
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Model overview
cc1244578151/Qwen3.8-Flash-Next-GSQ-RCO-GGUF is a image-text-to-text model repository published by cc1244578151 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)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-08T06:27:06.000Z
- Last modified
- 2026-10-08T06:28:00.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen3.8-Flash-Next
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 2026-10-08T06:40:12.812Z. Daily imports are snapshots, not real-time monitoring.
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