decider-2b
A language model that does not generate text. It reads a state and one or more typed questions, each with an explicit option list, and returns a probability distribution over the options for every question from one forward pass. It is called from software, not chatted with. From v12 the state may include images.
Params
1.9 B
Context
262,144
Downloads 30d
210 K
Likes
110
Download history
daily snapshots · 26 days334 K210 K
Sep 29Oct 7Oct 16Oct 24
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 4.4 GB | 5.7 GB | ✅ Runs comfortably |
| model.safetensors (bf16, full) | bf16 + 256K ctx | 4.4 GB | 14.4 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- Qwen3_5ForCausalLM
- Parameters
- 1.9 B
- Tensor type
- BF16
- Context length
- 262,144
- Vocabulary
- 248,320
- Layers / heads
- 24 / 8
- Licence
- apache-2.0
- First seen on the Hub
- 2026-09-16
- Base model
- Qwen3.5-2B-Base
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-29
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-classification model