license: apache-2.0
base_model:
- bespokelabs/Bespoke-Nimble-9B-v2
- Qwen/Qwen3.5-9B
library_name: onnx
tags:
- ollaya
- onnx
- decision-model
- system-one
pipeline_tag: text-classification
nimble for Ollaya
Ollaya package of bespokelabs/Bespoke-Nimble-9B-v2 and Qwen/Qwen3.5-9B by Bespoke Labs (adapter) and the Qwen team (base model). Ollaya runs open decision models locally, the way Ollama runs LLMs: typed questions in, calibrated answers out, behind a TypeSafe-compatible API.
ollaya run nimble
What is in this repository
This repository holds only the files Ollaya derives, with no weights. Each graph is an ONNX export of the
original model whose weights reference the authors' own weight files by byte offset,
so ollaya pull downloads the weights from the upstream repositories, unmodified and pinned to a
commit, and verifies their sha256.
| Tag | Upstream | Files |
|---|---|---|
nimble:9b |
bespokelabs/Bespoke-Nimble-9B-v2@4b8c04d, Qwen/Qwen3.5-9B@c202236 | 9b/model-fp32.onnx, 9b/decision.json, 9b/calibration.json |
Each tag has an fp32 graph, used on CPU and GPU. Each tag also has decision.json (sequence layout, special tokens) and
calibration.json (temperatures).
Parity
Ollaya's Rust runtime matches the author's reference code (serving_schema.prepare_prompts and inference.candidate_logits, PyTorch fp32 with the LoRA unmerged) on 492 questions from 104 requests: identical token rows, the same 4 rejected requests, the same decision on every question, option logits within 1.1e-4 and probabilities within 6.5e-6 (CUDA).
License
Same as the upstream model (Apache-2.0). Ollaya itself is Apache-2.0.