# feyospace-v1.1-small by Feyospace: Open-Weight Model Source: https://savrn.com/models/feyospace-v1-1-small Markdown alternate of the page above; the site index is https://savrn.com/llms.txt --- ## Runs On What it takes to serve feyospace-v1.1-small (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. [feyospace-v1.1-small on every accelerator the SAVRN Index prices, at every precision](https://savrn.com/models/feyospace-v1-1-small/gpus) ## Model Card Feyospace-v1.1-small is the updated small checkpoint in the Feyospace family of open-weight cyber agents, developed by the Feyospace Team at Vera Praxis. It is referred to as Feyospace-s1 (v1.1) in our release blog. The model targets vulnerability research, CTF tasks, and long-horizon security workflows that combine reasoning with tool use. It achieves an 84.4% verified success rate on CyberGym under a general agent harness and 65.57% on pooled CTF suites. The checkpoint follows the Qwen3.5 architecture and contains approximately 28B parameters. We release BF16 Safetensors weights together with the tokenizer, processor, and chat template. The context length above comes from the released… Excerpt from the card by Feyospace. ## Configuration Architecture Qwen3_5ForConditionalGeneration Context length (tokens) 262,144 Layers 64 Hidden size 5,120 Feed-forward size 17,408 Attention heads 24 Key/value heads 4 Head dimension 256 Vocabulary size 248,320 Model type qwen3_5 ## Identity and Version Repository feyospace/feyospace-v1.1-small Publisher Feyospace Task Image and text to text Modality Image and text Library transformers Parameters 27.8B parameters Languages Not stated by the source Revision ab6a8372eceb18c10357e2683ce14808217bf5e9 First published 2026-09-23 Last updated 2026-10-06 ## Files and Weights 21 files, 55.6 GB in total. The weights are 12 files totalling 55.6 GB in safetensors. Weights12 files · 55.6 GB Configuration4 files · 117.5 KB Tokenizer2 files · 20.0 MB Documentation1 file · 6.4 KB Other1 file · 9.0 KB Repository1 file · 1.6 KB Every file | File | Type | Size | SHA-256 | | --- | --- | --- | --- | | model-00001-of-00012.safetensors | Weights | 5.0 GB | a8e76f50570b | | model-00002-of-00012.safetensors | Weights | 5.0 GB | 9215646dd87f | | model-00003-of-00012.safetensors | Weights | 4.9 GB | 569cafb846d7 | | model-00004-of-00012.safetensors | Weights | 5.0 GB | 36d840b35e07 | | model-00005-of-00012.safetensors | Weights | 4.9 GB | 89ebd192ccdc | | model-00006-of-00012.safetensors | Weights | 5.0 GB | 79ea8cc9988b | | model-00007-of-00012.safetensors | Weights | 4.9 GB | a68383ec79d8 | | model-00008-of-00012.safetensors | Weights | 5.0 GB | dbf2445248a3 | | model-00009-of-00012.safetensors | Weights | 4.9 GB | 477d6fac7473 | | model-00010-of-00012.safetensors | Weights | 5.0 GB | d5439007c17d | | model-00011-of-00012.safetensors | Weights | 3.5 GB | 208c194cff0e | | model-00012-of-00012.safetensors | Weights | 2.5 GB | c4c490c1aab2 | | config.json | Configuration | 3.7 KB | — | | model.safetensors.index.json | Configuration | 112.2 KB | — | | preprocessor_config.json | Configuration | 390 B | — | | processor_config.json | Configuration | 1.2 KB | — | | README.md | Documentation | 6.4 KB | — | | chat_template.jinja | Other | 9.0 KB | — | | .gitattributes | Repository | 1.6 KB | — | | tokenizer.json | Tokenizer | 20.0 MB | 06b9509352d2 | | tokenizer_config.json | Tokenizer | 1.2 KB | — | ## License and Download License Not stated by the source Access Open weights, no gate Download size 55.6 GB [Download from Feyospace](https://huggingface.co/feyospace/feyospace-v1.1-small) Released by Feyospace through its official repository on Hugging Face. ## Built From - Described by arXiv:2609.08418 ## 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 feyospace-v1.1-small ### How much GPU memory does feyospace-v1.1-small 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 feyospace-v1.1-small 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. ### What is feyospace-v1.1-small's context length? 262,144 tokens, from the maximum position embeddings in its published configuration. ## Similar Models Model · Image and text to text ### [Qwen3.8-27B](https://savrn.com/models/qwen3-8-27b) [Qwen](https://savrn.com/model-publishers/qwen) Following the widespread community adoption of the Qwen3.5 and Qwen3.6 series, we are pleased to introduce Qwen3.8, the most capable generation in the Qwen open-model family to date. Built on the architectural foundation of Qwen3.5, Qwen3.8 delivers substantial gains across coding, professional work, research, and long-horizon agentic tasks. 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For streamlined integration, we recommend using Qwen3.8 via APIs. Qwen3.8 can be… Open weights apache-2.0 27.8B parameters 262,144 tokens transformers [View model](https://savrn.com/models/qwen3-8-27b-awq-int4) ## Feyospace [All models and datasets](https://savrn.com/model-publishers/feyospace) ## Versions - [ab6a8372eceb](https://savrn.com/models/feyospace-v1-1-small/versions/ab6a8372eceb) · current 2026-10-06 ## Explore More - [All image and text to text models](https://savrn.com/models/tasks/image-and-text-to-text) - [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 2026-10-06. - [Hugging Face record](https://huggingface.co/feyospace/feyospace-v1.1-small) - [How the hub is built](https://savrn.com/model-hub/methodology)