agentionai/Qwen3.8-Flash-Next-Gyro-GGUF

image-text-to-text model by agentionai

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Qwen3.8-Flash-Next (125B MoE) on one GPU: 27.6 GiB for a 32 GB card, 35 GiB for 48 GB, 50 GiB for 64 GB. The best quality per GiB at every size we ship. Gyro-S fits a 32 GB card: 27.64 GiB of weights, 28.8 GiB at 64k context, up to 128k context. Coding on a 24 GB card: agentionai/Qwen3.8-Flash-Next-Gyro-Coder-GGUF. Abliterated Gyro-S and Gyro-M: agentionai/Qwen3.8-Flash-Next-Gyro-abliterated-Huihui-GGUF. The routed experts are stored in a rotated basis with our own rotor code (Agention Precision Rotor, APR). The TQ10 / TQ20 / TQ30 in the names is only a size class for the Hub (the experts use the trellis types TQK6/TQK7, TQ2T and TQP5-7). Upstream llama.cpp cannot load these files yet. They run in: Gyro vs EXL3. Same llama.cpp build (strix-llama.cpp with the EXL3 Vulkan PRs #201/#204), same Strix Halo box, same held-out and code KLD sets, no MTP; turboderp's Qwen3.8-Flash-Next-exl3 quants, GPU memory without…

agentionai/Qwen3.8-Flash-Next-Gyro-GGUF on Hugging Face A short preview, not the full document.

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  1. Qwen3.8-Flash-Next Gyro — GGUF
  2. Pick your file
  3. Quality
  4. Speed
  5. Quick start
  6. Recommended settings
  7. Changelog
  8. Status
  9. Credits
  10. Support AgentionAI

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Model overview

agentionai/Qwen3.8-Flash-Next-Gyro-GGUF is a image-text-to-text model repository published by agentionai 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)
319,092
Cumulative likes
138
Hugging Face trending score
68
Reported safetensors parameters
Not reported
Architecture
Not reported
License
other
Access
Not gated by Hugging Face
Created
2026-09-30T17:56:47.000Z
Last modified
2026-10-25T22:09:56.000Z

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.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-27T06:46:19.176Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

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