|
Download README.md from Spinf/README: direct link, hf CLI and curl.
- Browser
- Download file 2.74 kB
-
https://huggingface.co/spaces/Spinf/README/resolve/main/README.md
- Command line
-
hf download hf://spaces/Spinf/README/README.md
-
curl -L -o README.md https://huggingface.co/spaces/Spinf/README/resolve/main/README.md
2.74 kB
| title: README | |
| emoji: 🎯 | |
| colorFrom: gray | |
| colorTo: blue | |
| sdk: static | |
| pinned: false | |
| # spinf | |
| **Decision models: one input read once, hundreds of questions answered as probabilities.** | |
| spinf turns open models into decision models. Instead of generating text, the model scores: a piece of content is read | |
| once and every question about it is answered in the same pass with a calibrated, batch-invariant probability. The | |
| checkpoints here are the ones [spinf-serve](https://github.com/spinfinc/spinf-serve), our open-source inference engine, | |
| serves: quantized and calibrated by us, with the quantization parameters travelling with the weights, so the same model | |
| gives the same score on your GPU and on the hosted API at [spinf.com](https://spinf.com). | |
| | model | based on | one card of | reads | | |
| |---|---|---|---| | |
| | [spinf/gemma-4-12b-fp8](https://huggingface.co/spinf/gemma-4-12b-fp8) (default) | Gemma 4 12B, FP8 with static activation scales | 24 GB (RTX 4090 / 5090, L4, L40S, RTX 6000 Ada, H100) | text, images, audio, video frames | | |
| | [spinf/gemma-4-31b-fp8](https://huggingface.co/spinf/gemma-4-31b-fp8) | Gemma 4 31B, FP8 static | 48 GB (RTX 6000 Ada, L40S, RTX PRO 6000) | text, images, video frames | | |
| | [spinf/qwen3.8-27b-int4](https://huggingface.co/spinf/qwen3.8-27b-int4) | Qwen3.8-27B, GPTQ int4 | 24 GB | text, images, video frames | | |
| | [spinf/pplx-decider-v1-27b-int4](https://huggingface.co/spinf/pplx-decider-v1-27b-int4) | pplx-decider-v1-27b, GPTQ int4: a decision model with a readout head | 24 GB | text, with its own packs | | |
| ```sh | |
| pip install "spinf-serve[server]" | |
| spinf-serve serve spinf/gemma-4-12b-fp8 # downloads the checkpoint on first start; an OpenAI-compatible server on port 8000 | |
| # or the image: docker run --gpus all -p 8000:8000 -v spinf-cache:/root/.cache ghcr.io/spinfinc/spinf-serve | |
| ``` | |
| - **[spinf-serve](https://github.com/spinfinc/spinf-serve)**: the engine and server (Apache 2.0), the quantization | |
| recipes that produced these checkpoints, the parity fixture, the docs. | |
| - **[spinf-prompts](https://github.com/spinfinc/spinf-prompts)**: ready-made, calibrated question sets (content | |
| moderation, triage, products, reviews, brand, entertainment) the server preloads; community packs load from any | |
| repository, such as [thinkingtext's news packs](https://github.com/thinkingtext/spinf-news-pack). | |
| - **[spinf-client](https://github.com/spinfinc/spinf-client)**: the Python client, for your own server or the hosted API. | |
| - **[Agent skills](https://github.com/spinfinc/skills)** for Claude Code and other coding agents. | |
| Each model card carries its recipe and licence: Gemma 4 under Google's terms, Qwen3.8 and pplx-decider under theirs, | |
| the quantization and calibration under Apache 2.0. | |