[bong-water-water-bong]

Credits PrismML in NOTICE: the Ternary Bonsai models (Apache-2.0, not redistributed) and PrismML-Eng/llama.cpp (MIT), which the fork's src/llama-hadamard.{h,cpp} follows to load the prism.hadamard.* format (fork PR #34). The fork files carry PrismML's MIT copyright line and permission notice in full (fork commit f375a52).

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[context7]

Docs7 for 1bit-monster/engine

Result	Status	Action
Deployment	➖ Not used	—
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Commit 65385ae

[github-actions]

PR Reviewer Guide 🔍

Here are some key observations to aid the review process:

🎫 Ticket compliance analysis 🔶 34 - Partially compliant Compliant requirements: Add GoatCounter visitor counts to the documentation site Use GoatCounter's counter script on every page when the GOATCOUNTER environment variable holds a site code A value that is not a plain site code (letters, digits, dashes) fails the build With the variable unset, including local previews, the pages carry no analytics Tested locally: unset gives no script on any page; GOATCOUNTER=1bit-engine puts it on all 12 pages; an injection-shaped value stops the build Non-compliant requirements: None Requires further human verification: None

⏱️ Estimated effort to review: 1 🔵⚪⚪⚪⚪

🧪 No relevant tests

🔒 No security concerns identified

⚡ Recommended focus areas for review Copyright Notice Update The NOTICE file has been updated to include PrismML's licensing information. While this is a standard procedure for incorporating third-party code, it's important to verify that the copyright and license information is correctly attributed and that the inclusion of PrismML's MIT licensed code is properly noted in the forked src/llama-hadamard.{h,cpp} files. PrismML Ternary Bonsai (https://huggingface.co/prism-ml, https://github.com/PrismML-Eng/llama.cpp) Models: Apache-2.0 (prism-ml/Ternary-Bonsai-*), downloaded by the user, not redistributed. Code: PrismML-Eng/llama.cpp, MIT, Copyright (c) 2023-2026 The ggml authors. The engine's llama.cpp fork (1bit-MONSTER/llama.cpp, src/llama-hadamard.{h,cpp}) follows it to load the prism.hadamard.* format of these models; those files carry the MIT notice in full. Thanks to PrismML for training ternary models and publishing the format and code.