OPEN
GS1 decision model
GS1 returns typed decisions in four open model sizes. Read its text-only results, request limits, precision policy and local inference routes.
By BIGAI · Hugging Face weight release: 10 Nov 2026
A four-size family with Qwen3.5 hybrid backbones and native decision heads. It scores supplied candidate meanings for Choice, Noul and Score questions without generating text. Published decision results are text-only; retained vision components do not establish image accuracy.
Quick answers
What is GS1 by BIGAI?
GS1: A four-size family with Qwen3.5 hybrid backbones and native decision heads.
Who makes GS1?
GS1: BIGAI
Facts
- Sizes
- 0.8B, 2B, 4B and 9B releases; the 2B card lists 2,319,227,200 stored parameters
- Runtime
- Custom Transformers code with AutoModel and trust_remote_code, or the GS1 HTTP server
- Context
- Configured branch limits: 65,536 tokens for 0.8B/2B/4B and 32,768 for 9B; default HTTP service limit is 4,096
- Calibration
- Released configurations use identity calibration; task-specific confidence still needs validation
- Licence
- Apache-2.0 code and weights; LICENSE and NOTICE included
Claims and sources
- The maker reports GS1-2B scoring 62.22 on public Decision Index 0.3 across 37 benchmarks, and 80.09% on 231 public JevBench decisions. Public task accuracy is separate from the sealed composite. vendor reportedsource
- The maker reports GS1-2B warm in-process CUDA Graph p50 18.64 ms on an RTX 4090 reporting 48 GiB, using one question and a 256-token longest branch. Loading, graph capture, HTTP and SDK transport are excluded. vendor reportedsource
Links
Source: 2B card and code → Source: 0.8B package → Source: 4B package → Source: 9B package → Source: 9B request limits → Source: Licence →
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