Instructions to use stdlogits/drowse-web-gpt2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use stdlogits/drowse-web-gpt2-base 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
Download README.md from stdlogits/drowse-web-gpt2-base: direct link, hf CLI and curl.
- Browser
- Download file 2.03 kB
-
https://huggingface.co/stdlogits/drowse-web-gpt2-base/resolve/main/README.md
- Command line
-
hf download hf://stdlogits/drowse-web-gpt2-base/README.md
-
curl -L -o README.md https://huggingface.co/stdlogits/drowse-web-gpt2-base/resolve/main/README.md
license: other
license_name: mixed-artifact-licenses
license_link: https://huggingface.co/stdlogits/drowse-web-gpt2-base/blob/main/LICENSES.md
base_model: openai-community/gpt2
pipeline_tag: text-generation
library_name: mlc-llm
tags:
- drowse
- webgpu
- interpretability
- base-model
GPT-2 Base for drowse
A raw-completion base 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). drowse reads this model at the residual stream; it has no lens or units packs.
- Source: openai-community/gpt2
- Weights:
q0f32: float32 weights, unquantized - Context: 1024 tokens
- Runtime:
drowse-web-runtime-v2, hook ABIblock-sites-v5, profilestandard-v4-residual
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.