Pinned Q4_K_M GGUF of Qwen3.8-27B (qwen/qwen3.8-27b), plus midpoint layer shards for staged / multi-node loading (Aquaduck Arc layer-package-v1). The shard files are not a new quantization. They are contiguous midpoint packages cut from the full Q4_K_M GGUF in this repo.

Model lineage

Qwen/Qwen3.8-27B └── quantized → unsloth/Qwen3.8-27B-GGUF (Q4_K_M) └── full GGUF + midpoint shards → aquaduck/Qwen3.8-27B-GGUF (this repo)

Base weights: https://huggingface.co/Qwen/Qwen3.8-27B (apache-2.0)
Quantization source: https://huggingface.co/unsloth/Qwen3.8-27B-GGUF (tag Q4_K_M)
This repo: full Q4_K_M GGUF (Qwen3.8-27B-UD-Q4_K_M.gguf) and midpoint GGUF shards

Model Details


Catalog id	`qwen/qwen3.8-27b`
Quantization	Q4_K_M
Parameters	27.8B
Native context	262,144 tokens
License	apache-2.0
Base model	Qwen/Qwen3.8-27B
Ingest GGUF	unsloth/Qwen3.8-27B-GGUF

Model Description

Hosted by: Aquaduck (hosting and layer packaging only; base model by Qwen Team / Alibaba Cloud; GGUF quant by Unsloth / llama.cpp ecosystem)
Shared by: Aquaduck AI
Model type: Causal language model (Qwen3.8-27B), GGUF Q4_K_M
Language(s): Multilingual (same as base)
License: apache-2.0 (inherits from Qwen/Qwen3.8-27B)
Finetuned from model: N/A — not a fine-tune
Derived from: unsloth/Qwen3.8-27B-GGUF ← Qwen/Qwen3.8-27B

Model Sources

Base model card: https://huggingface.co/Qwen/Qwen3.8-27B
Quantized GGUF source: https://huggingface.co/unsloth/Qwen3.8-27B-GGUF

Files

File	Role	Approx. size
`Qwen3.8-27B-UD-Q4_K_M.gguf`	Full-model GGUF (Q4_K_M)	~16.46 GB
`Qwen3.8-27B-UD-Q4_K_M-layers-0-32.gguf`	Split shard (layers 0–31)	~7.62 GB
`Qwen3.8-27B-UD-Q4_K_M-layers-32-64.gguf`	Split shard (layers 32–63)	~9.22 GB

Total layers: 64
Valid split boundaries: 32 Filenames use exclusive end indices (layers-{start}-{endExclusive}).

Uses

Direct Use

Full Qwen3.8-27B-UD-Q4_K_M.gguf: standard single-file Q4_K_M GGUF (llama.cpp-compatible). Use this for single-node / local runs.
*-layers-*.gguf: Aquaduck / Arc staged loading only. These are not drop-in complete models for stock llama.cpp. Use the base model’s chat template (including thinking / instruct modes as documented on the base model card); other formats will not work correctly.

Out-of-Scope Use

Expecting any one shard to run as a complete model
Treating this repo as a new training run or re-quant
Uses prohibited by the apache-2.0 license or the base model’s model card guidance

Bias, Risks, and Limitations

Same capabilities, biases, and risks as Qwen/Qwen3.8-27B. Q4_K_M quantization can degrade quality vs. the original higher-precision releases. Layer sharding does not change weights beyond packaging.

Recommendations

Follow the base model’s docs for chat template, thinking vs instruct modes, and sampling. Prefer Qwen3.8-27B-UD-Q4_K_M.gguf in this repo when you do not need staged loading.

How to Get Started

These files are meant to be loaded automatically by the Aquaduck desktop app.

Download the Aquaduck desktop app and sign in.
Devices connected to the internet will receive a model assignment from the model catalog (qwen/qwen3.8-27b).
Download the model from the Home view. The app will:
- download only the assigned file from this repo (full Qwen3.8-27B-UD-Q4_K_M.gguf or one midpoint half)
- keep that stage ready for serving You do not need to pick files by hand, but you may for local serving. Assignment and download are driven by model catalog metadata. The full Qwen3.8-27B-UD-Q4_K_M.gguf is a standard Q4_K_M GGUF. The *-layers-*.gguf files are not.

Training Details

No training. Weights come from Qwen Team / Alibaba Cloud; Q4_K_M GGUF from unsloth/Qwen3.8-27B-GGUF; this repo hosts that GGUF and (when split) packages it into midpoint layer shards.

Evaluation

No separate evals for the hosted GGUF or shards. See Qwen/Qwen3.8-27B.

Technical Specifications

Architecture: Qwen3.8-27B (~27.8B params, GQA (24 Q / 4 KV heads), 64 layers, hidden dim 5120)
Quantization: Q4_K_M
Packaging: pinned full Q4_K_M GGUF; optional Arc midpoint shards (*-layers-{start}-{endExclusive}.gguf)
Package format: layer-package-v1
Split: 2 stages at layer 32 (maxStages: 2)

Citation

bibtex

@misc{qwen3827b,
    title  = {Qwen3.8-27B},
    author = {Qwen Team / Alibaba Cloud},
    year   = {2026},
    url    = {https://huggingface.co/Qwen/Qwen3.8-27B}
}

Credit:

The GGUF quantization source (https://huggingface.co/unsloth/Qwen3.8-27B-GGUF)
llama.cpp (https://github.com/ggml-org/llama.cpp) for GGUF support

Attribution

Quantized GGUF ingested from unsloth/Qwen3.8-27B-GGUF. Original weights: Qwen/Qwen3.8-27B. Redistributed under the base model's license.

Hosted by Aquaduck.

Model Card Contact

Aquaduck AI — https://huggingface.co/aquaduck