Instructions to use stdlogits/drowse-web-qwen3-1.7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use stdlogits/drowse-web-qwen3-1.7b with MLC-LLM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Qwen3 1.7B for drowse
A chat model for drowse.ai, which runs it on the device through WebGPU and reads and steers it as it generates. This repository holds the converted weights, the tokenizer, the WebAssembly model library with drowse's hooks compiled in, and the core geometry pack (neutral statistics and the default concept manifolds for each context). Its R lens, S lens and units packs are in stdlogits/drowse-web-qwen3-1.7b-instruments.
- Source: Qwen/Qwen3-1.7B
- Weights:
q4f32_1: 4-bit weights, float32 compute - Context: 2048 and 4096 tokens
- Runtime:
drowse-web-runtime-v2, hook ABIblock-sites-v5, profilestandard-v4
These are browser artifacts, not a Transformers checkpoint. Install them through drowse.ai: its signed catalog pins each download to an immutable revision of this repository and verifies every file's SHA-256 digest.
Reproducibility and licenses
drowse-build.json records the exact source files, the MLC LLM base commit and every compiler overlay's
hash; hosted-artifacts.json and hosted-pack-artifacts.json list every file with its digest. The model
library is compiled by the recipe in browser-runtime/ of
stdlogits/drowse.ai, which pins the upstream TVM, MLC LLM and
WebLLM sources and the patches drowse applies to them. Licenses apply by component: see
LICENSES.md.
drowse is written by a9lim with Claude; its browser edition, drowse.ai, is built from stdlogits/drowse.ai.
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