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Gutsy
0.8B Qwen3.5 fine-tune (GGUF, 500-775 MB) for typed decisions on an ordinary CPU via llama.cpp, with a Jev-style /v1/systemone server and browser demos.
github.com/kouhxp/gutsyMaintenance
Last push and Hugging Face update 2026-10-05; no GitHub releases. Posted to Show HN nine times between 2026-10-01 and 2026-10-09. (checked 2026-10-25)
In The Jev ecosystem
Where it stands apart
- What is the main thing it ships? model weights (19% of 21 others)
- Does it train on Jev's outputs? (TypeSafe's customer agreement forbids using output to distill or build competing models.) it trains models, but not on Jev's outputs (21% of 19 others)
What it shares with most of the community
- How is the main thing licensed? permissive open source (MIT/Apache/BSD) (86% of 21 others)
- How is it mainly sustained? individual side project, no revenue (55% of 20 others)
- Can it run entirely on your own device or infrastructure, without the maker's servers? yes (52% of 21 others)
- Do you need an account to use it? no account (86% of 21 others)
- Who is it for? developers (95% of 21 others)
- Which shared standard or format does it mainly build on? TypeSafe's System One API (state + typed questions, /v1/systemone) (81% of 21 others)
- Which models answer its questions? Pick the first that applies. other models, not Jev (open, local, or LLMs) (52% of 21 others)
- Which question types does it handle? Jev's three: noul, choice, score (67% of 21 others)
- Can you use it without a TypeSafe account? yes, no TypeSafe account involved (62% of 21 others)
- Are its answers typed values rather than generated text? (identity question) yes, typed answers only (67% of 21 others)
Nearest neighbors
- Kev 94% of 16 shared answers match
- Laya 88% of 16 shared answers match
- jeva.cpp 75% of 16 shared answers match
Every answer
| Question | Answer | Source |
|---|---|---|
| Is it actively maintained? | maintenance or slowing Quiet for three weeks in a five-week-old ecosystem. | source 2026-10-25 |
| How is the main thing licensed? | permissive open source (MIT/Apache/BSD) Apache-2.0 code and weights; training data CC BY 4.0. | source 2026-10-25 |
| How is it mainly sustained? | individual side project, no revenue Personal repo, Apache-2.0, no funding or pricing. | source 2026-10-26 |
| Can it run entirely on your own device or infrastructure, without the maker's servers? | yes | source 2026-10-25 |
| Do you need an account to use it? | no account Weights downloaded from Hugging Face, run locally via llama.cpp; no maker account. | source 2026-10-26 |
| Who is it for? | developers | source 2026-10-25 |
| Which shared standard or format does it mainly build on? | TypeSafe's System One API (state + typed questions, /v1/systemone) 'Follows the Jev-style Decisions format' (/v1/systemone). | source 2026-10-26 |
| Which models answer its questions? Pick the first that applies. | other models, not Jev (open, local, or LLMs) | source 2026-10-25 |
| What is the main thing it ships? | stands apart model weights Plus gutsy-inference runtime. | source 2026-10-25 |
| Which question types does it handle? | Jev's three: noul, choice, score Adds a 'reject' probability for 'none of these fits'. | source 2026-10-25 |
| Does it check whether its probabilities can be trusted? Pick the first that applies. | yes, it publishes calibration metrics (ECE, Brier, or similar) Validation calibration error 0.022; 0.137 on hard unfamiliar items. | source 2026-10-25 |
| Where do the decisions run by default? | on your own hardware (CPU, Mac, or GPU) CPU-first. | source 2026-10-25 |
| Does it train on Jev's outputs? (TypeSafe's customer agreement forbids using output to distill or build competing models.) | stands apart it trains models, but not on Jev's outputs A third of the data written by an open teacher (Qwen3.8-27B); the rest from datasets with exact labels. | source 2026-10-25 |
| Can you use it without a TypeSafe account? | yes, no TypeSafe account involved | source 2026-10-25 |
| Are its answers typed values rather than generated text? (identity question) | yes, typed answers only | source 2026-10-25 |
| Does it publish head-to-head numbers against Jev? | yes, head-to-head numbers against Jev gutsy 0.732 vs Jev 0.866 on JevBench public items. | source 2026-10-25 |
Sources
This page was derived from:
- GitHub · github.com/kouhxp/gutsy · read 2026-10-25
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