license: other
license_name: lfm1.0
license_link: >-
https://huggingface.co/LiquidAI/d1-3B/blob/051bcc464b01b9f92942b364d9586b0ef5912432/LICENSE
base_model:
- LiquidAI/d1-3B-GGUF
tags:
- ollaya
- gguf
- llama.cpp
- decision-model
- system-one
pipeline_tag: text-classification
d1 for Ollaya
Ollaya package of LiquidAI/d1-3B-GGUF by Liquid AI. Ollaya runs open decision models locally, the way Ollama runs LLMs: typed questions in, calibrated answers out, behind a TypeSafe-compatible API.
ollaya run d1
What is in this repository
This repository holds only the files Ollaya derives, with no weights. The model is the authors' own GGUF
file: ollaya pull downloads it from their repository, unmodified and pinned to a commit, verifies its
sha256, and Ollaya runs it on llama.cpp.
| Tag | The authors' GGUF | Files |
|---|---|---|
d1:3b |
LiquidAI/d1-3B-GGUF@bb1e436 d1-3B-Q8_0.gguf |
3b/decision.json, 3b/calibration.json |
d1:3b-vision |
LiquidAI/d1-3B-GGUF@bb1e436 d1-3B-Q8_0.gguf + mmproj-d1-3B-Q8_0.gguf |
3b-vision/decision.json, 3b-vision/calibration.json |
Each tag has decision.json (the prompt, the option labels Ollaya reads and llama.cpp's settings) and
calibration.json (temperatures). A vision tag also pulls the vision projector the table names, unmodified from its author's repository, which reads the images.
Parity
Ollaya's runner matches stock llama-server of the pinned build (b11146) on the same GGUF and projector, with prompts and answer-token groups from Liquid AI's pinned prompt.py: 650 text and 55 image questions on the CPU, an RTX 4090 and an RTX 5090 (29 and 24 on the contributor's CPU and RTX 4070), every decision the same, option log-probabilities within 7.7e-6.
License
Same as the upstream model (LFM Open License v1.0). Ollaya itself is Apache-2.0.