How to use from the
Use from the
Transformers.js library
// npm i @huggingface/transformers
import { pipeline } from '@huggingface/transformers';

// Allocate pipeline
const pipe = await pipeline('text-generation', 'DownFlow/webasmr-llm');

WebASMR director (Qwen3.5-0.8B + LoRA, q4f16)

Browser director for the WebASMR night studio. The DownFlow/webasmr-qwen3.5-0.8b-lora adapter was merged into the text-only base and requantized to 4-bit blockwise ONNX (MatMulNBits, block 32) without changing the hybrid-cache graph.

  • onnx/model_q4f16.onnx + onnx/model_q4f16.onnx_data: prefill/decode graph
  • tokenizer/config from onnx-community/Qwen3.5-0.8B-Text-ONNX
  • prompt format: raw Scenario: … / Tone: … / Tags: …, then [tone:
  • generation: temperature 0.8, top_p 0.9, repetition 1.1, stop at <|im_end|>

The adapter is trained on a purchased ASMR corpus; use is non-commercial.

Downloads last month
-
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for DownFlow/webasmr-llm

Adapter
(459)
this model