# Qwen3.8-27B-ULT3-QNext-Stage1.1 by David Belton: Open Model Source: https://savrn.com/models/qwen3-8-27b-ult3-qnext-stage1-1 Markdown alternate of the page above; the site index is https://savrn.com/llms.txt --- ## Runs On What it takes to serve Qwen3.8-27B-ULT3-QNext-Stage1.1 (27.8B parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them. | Precision | Weights | Memory needed | Cheapest setup | Per hour | Also fits | | --- | --- | --- | --- | --- | --- | | 16-bit | 55.6 GB | 66.7 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 | | 8-bit | 27.8 GB | 33.3 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 | | 4-bit | 13.9 GB | 16.7 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 | Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the [SAVRN Index](https://savrn.com/ai-index/pricing/gpus), read Oct 7, 2026. [Qwen3.8-27B-ULT3-QNext-Stage1.1 on every accelerator the SAVRN Index prices, at every precision](https://savrn.com/models/qwen3-8-27b-ult3-qnext-stage1-1/gpus) ## Model Card By David Belton, published under apache-2.0, revision 536e76a30c7d. This model is part of this project: https://huggingface.co/DavidAU/Qwen3.8-27B-UltimateDetails2-stage1__The-Harley-Pelican This is a work in progress, if you want to be notified the FINAL release, go to ABOVE REPO to request access. - Stage 1 built, tested. - Stage 1.1 and Stage 1.5 => Built, in testing. Benches: [see full project notes/benches at above repo] ``` arc/c arc/e boolq hswag obkqa piqa wino [NEW BRANCH CORE START] Ultimate 3 [Qwen Next Branch; ground up build, components first, then combine.] Qwen3.8-27B-ULT3-QNext-Stage1 => Qnext Reasoning Only Training Mild. mxfp8 0.617,0.809,0.906,... Stage 1.1 : Qwen3.8-27B-ULT3-QNext-Stage1.1 mxfp8 0.622,0.801,0.901,... Stage 1.5 - pending [QWENS] [base, non heretic, untuned] Qwen3.8-27B-Instruct: mxfp8 0.591,0.782,0.896,0.746,0.448,0.801,0.711 Qwen3.6-27B-Instruct: mxfp8 0.647,0.803,0.910,0.773,0.450,0.806,0.742 Qwen3.5-27B-Instruct: mxfp8 0.557,0.711,0.868,0.533,0.452,0.706,0.695 ``` [Read the full model card (185 words)](https://savrn.com/models/qwen3-8-27b-ult3-qnext-stage1-1/card) ## Identity and Version Repository DavidAU/Qwen3.8-27B-ULT3-QNext-Stage1.1 Publisher David Belton Task Not stated by the source Modality Other Library Not stated by the source Parameters 27.8B parameters Languages Not stated by the source Revision 536e76a30c7d5ae3ae06cf9ba1bbc6d9c8a8e9c3 First published 2026-10-03 Last updated 2026-10-05 ## Files and Weights 27 files, 55.6 GB in total. The weights are 18 files totalling 55.6 GB in safetensors. Weights18 files · 55.6 GB Configuration4 files · 118.1 KB Tokenizer2 files · 20.0 MB Documentation1 file · 1.5 KB Other1 file · 9.0 KB Repository1 file · 1.6 KB Every file | File | Type | Size | SHA-256 | | --- | --- | --- | --- | | model-00001-of-00018.safetensors | Weights | 4.0 GB | — | | model-00002-of-00018.safetensors | Weights | 3.0 GB | — | | model-00003-of-00018.safetensors | Weights | 2.5 GB | — | | model-00004-of-00018.safetensors | Weights | 4.0 GB | — | | model-00005-of-00018.safetensors | Weights | 2.1 GB | — | | model-00006-of-00018.safetensors | Weights | 4.0 GB | — | | model-00007-of-00018.safetensors | Weights | 2.1 GB | — | | model-00008-of-00018.safetensors | Weights | 4.0 GB | — | | model-00009-of-00018.safetensors | Weights | 2.1 GB | — | | model-00010-of-00018.safetensors | Weights | 4.0 GB | — | | model-00011-of-00018.safetensors | Weights | 2.1 GB | — | | model-00012-of-00018.safetensors | Weights | 4.0 GB | — | | model-00013-of-00018.safetensors | Weights | 2.1 GB | — | | model-00014-of-00018.safetensors | Weights | 4.0 GB | — | | model-00015-of-00018.safetensors | Weights | 2.1 GB | — | | model-00016-of-00018.safetensors | Weights | 4.0 GB | — | | model-00017-of-00018.safetensors | Weights | 2.1 GB | — | | model-00018-of-00018.safetensors | Weights | 3.4 GB | — | | config.json | Configuration | 4.5 KB | — | | generation_config.json | Configuration | 213 B | — | | model.safetensors.index.json | Configuration | 112.2 KB | — | | processor_config.json | Configuration | 1.2 KB | — | | README.md | Documentation | 1.5 KB | — | | chat_template.jinja | Other | 9.0 KB | — | | .gitattributes | Repository | 1.6 KB | — | | tokenizer.json | Tokenizer | 20.0 MB | — | | tokenizer_config.json | Tokenizer | 16.4 KB | — | ## License and Download License apache-2.0 Access Access requested at publisher Download size 55.6 GB [Request access from David Belton](https://huggingface.co/DavidAU/Qwen3.8-27B-ULT3-QNext-Stage1.1) David Belton grants access through its official repository on Hugging Face. [Read the license](https://www.apache.org/licenses/LICENSE-2.0). ## Memory Requirements | Precision | Weights in memory | | --- | --- | | As published | 55.6 GB | | 16-bit | 55.6 GB | | 8-bit | 27.8 GB | | 4-bit | 13.9 GB | Weights only, from the published parameter count; the key-value cache and runtime add to this. ## Questions About Qwen3.8-27B-ULT3-QNext-Stage1.1 ### How much GPU memory does Qwen3.8-27B-ULT3-QNext-Stage1.1 need? About 66.7 GB at 16-bit and 16.7 GB at 4-bit: the weights (27.8B parameters) plus a working margin. A long context needs more. ### What is the cheapest GPU to run Qwen3.8-27B-ULT3-QNext-Stage1.1 on? At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists. ### Can I use Qwen3.8-27B-ULT3-QNext-Stage1.1 commercially? Yes. Qwen3.8-27B-ULT3-QNext-Stage1.1 is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors. ## David Belton [All models and datasets](https://savrn.com/model-publishers/davidau) ## Versions - [536e76a30c7d](https://savrn.com/models/qwen3-8-27b-ult3-qnext-stage1-1/versions/536e76a30c7d) · current 2026-10-05 ## Explore More - [All models under apache-2.0](https://savrn.com/models/licenses/apache-2-0) - [Model comparisons](https://savrn.com/models/comparisons) - [The model directory](https://savrn.com/models) - [Open model prices by host](https://savrn.com/ai-index/pricing/open-models) ## Source - Repository metadata, read 2026-10-05. - [Hugging Face record](https://huggingface.co/DavidAU/Qwen3.8-27B-ULT3-QNext-Stage1.1) - [How the hub is built](https://savrn.com/model-hub/methodology)