Instructions to use thomasjvu/alkahest-0.8b-rp-q4-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use thomasjvu/alkahest-0.8b-rp-q4-onnx with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-generation', 'thomasjvu/alkahest-0.8b-rp-q4-onnx');
Experimental model. This repository is an experimental Alkahest/Rally package. It may fail, behave unpredictably, or produce unsuitable output. Use at your own risk; do not rely on it for safety-critical or production decisions without your own validation.
thomasjvu/alkahest-0.8b-rp-q4-onnx
Private promoted q4 WebGPU ONNX package for the Alkahest 0.8B RP lane.
Promoted source candidate: a50-b100
Browser scorecard: 0.8500, margin +0.3225 over direct.
Text sessions use official-style q4 artifacts:
onnx/embed_tokens_q4.onnxonnx/decoder_model_merged_q4.onnx
This is the finalized 0.8B RP app package.
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