Instructions to use danelcsb/daniel-lfm2-350m-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use danelcsb/daniel-lfm2-350m-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-generation', 'danelcsb/daniel-lfm2-350m-ONNX');
Daniel OS LFM2-350M ONNX
Browser-ready Q4 ONNX export of danelcsb/daniel-lfm2-350m, the personalized language model used by Sangbum Daniel Choi's portfolio.
The model was exported with Liquid AI's official
LiquidONNX tooling at revision
9a23ddd23035165f7414a5de3220a51e85780f64. Q4 uses symmetric quantization for WebGPU compatibility.
The portfolio supplies focused verified profile context and recent conversation history at inference time. This checkpoint is fine-tuned for privacy boundaries, visitor-identity handling, career chronology, and multi-turn product questions; those answers are generated by the model rather than returned as fixed strings.
import { pipeline } from "@huggingface/transformers";
const generator = await pipeline(
"text-generation",
"danelcsb/daniel-lfm2-350m-ONNX",
{ device: "webgpu", dtype: "q4" },
);
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Base model
LiquidAI/LFM2-350M