agentionai/Qwen3.8-27B-AP-GGUF

image-text-to-text model by agentionai

Open original source ↗

From the publisher

Model card & documentation

Source preview

Read the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.

[](https://share.fieldworkledger.com/jWO2-ae4HyoC6GIqZucsaA) Same size. Same speed. Closer to the model Qwen trained than any other quant Full Results Agention Precision quants are the highest precision quants of Qwen3.8 27B byte-for-byte. Each file has a non-uniform assignment and low-loss error correction built with a custom encoder. This is a drop-in GGUF pack for Qwen3.8-27B: standard llama.cpp types, no fork, no flags. Vision projector and MTP draft head included. Every 27B quant gives something up. These give up less. We measured the leading public GGUFs against the full BF16 model on one protocol. At every size we ship, ours is the closest to Qwen’s next-token distribution. Every quant is tested against three corpora: unseen technical prose, general web text and Wikipedia. Swap cost is zero. VRAM and tokens/sec stay the same. The file behaves more like the weights Qwen released. VRAM = weights + q80 KV + llama.cpp buffers. Only a quarter of…

agentionai/Qwen3.8-27B-AP-GGUF on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-11-04T17:17:06.004Z

Inside the original model card — Document outline
  1. Qwen3.8-27B · Agention Precision GGUF
  2. Measured
  3. Reproducing these numbers
  4. Head to head with Unsloth, identical bytes
  5. The field near these sizes
  6. Running
  7. Built with
  8. Does it hold up in real use? A one-shot coding test
  9. Credits and license
  10. Support AgentionAI

Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.

Links from the model card

References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.

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

agentionai/Qwen3.8-27B-AP-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)
923,816
Cumulative likes
102
Hugging Face trending score
1
Reported safetensors parameters
Not reported
Architecture
Not reported
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-09-22T16:21:33.000Z
Last modified
2026-10-28T13:45:38.000Z

Compatibility and lineage

Language coverage was not reported.

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.

Model card and usage instructions

Model files and configuration

Community discussion

Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-09T06:56:48.954Z. Daily imports are snapshots, not real-time monitoring.

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

Open original source

Related models

microsoft/Florence-2-base

Qwen/Qwen3.8-27B

google/gemma-4-31B-it

Qwen/Qwen3-VL-8B-Instruct

ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-GGUF

zai-org/GLM-5.3-Flash