Skip to content

README: install from crates.io #8

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
Mattbusel merged 1 commit into from
Sep 25, 2026
Merged

README: install from crates.io #8

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
5 changes: 3 additions & 2 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
# LLM Hallucination Detector

[![CI](https://github.com/Mattbusel/LLM-Hallucination-Detection-Script/actions/workflows/ci.yml/badge.svg)](https://github.com/Mattbusel/LLM-Hallucination-Detection-Script/actions/workflows/ci.yml)
[![crates.io](https://img.shields.io/crates/v/llm-token-visualizer.svg)](https://crates.io/crates/llm-token-visualizer)
[![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE)

A Rust CLI and library that reads an LLM answer's token log probabilities and flags the words the model was unsure about, with the alternatives it was weighing at that point. It can also render per-token confidence as colored terminal output, a standalone HTML report, or Markdown.
Expand All @@ -25,10 +26,10 @@ That is a real response from Llama 3.1 8B Instruct. The answer happens to be rig

Prebuilt binaries for Linux, macOS (Intel and Apple Silicon) and Windows are attached to each [GitHub Release](https://github.com/Mattbusel/LLM-Hallucination-Detection-Script/releases/latest). Download the archive for your platform, unpack it, and run `llm-token-visualizer` (the archive includes the sample responses under `samples/`).

Or build from source with a Rust toolchain:
Or install from crates.io with a Rust toolchain:

```bash
cargo install --git https://github.com/Mattbusel/LLM-Hallucination-Detection-Script
cargo install llm-token-visualizer
```

## Quick start
Expand Down
Loading