lightseekorg

TokenSpeed is a speed-of-light LLM inference engine.

156
4
69% credibility
Found May 06, 2026 at 157 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

TokenSpeed is a high-performance engine for running large AI language models with top speed and easy OpenAI-compatible access.

How It Works

1
📰 Discover TokenSpeed

You hear about TokenSpeed, a super-fast way to run powerful AI chatbots on powerful computers.

2
📥 Download the software

Grab the free TokenSpeed program and set it up on your machine with simple steps.

3
🧠 Pick your AI brain

Choose a ready-to-use AI model like Qwen or DeepSeek that fits what you need.

4
🚀 Launch your AI assistant

Hit start to bring your AI online, ready to chat at incredible speeds.

5
💬 Start chatting

Send questions or prompts and watch your AI respond in a flash.

6
📊 Check the speed

Run a quick test to see just how blazing fast your AI is working.

âš¡ Lightning-fast AI!

Enjoy top-speed AI responses that make everything quicker and smoother.

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Star Growth

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AI-Generated Review

What is tokenspeed?

TokenSpeed is a Python-based LLM inference engine promising speed-of-light token speeds on high-end GPUs. Launch an OpenAI-compatible API server via `tokenspeed serve --model path/to/model` for fast serving, or benchmark with `tokenspeed bench`. It solves the throughput bottleneck in LLM deployments by packing TensorRT-LLM perf into vLLM-style usability.

Why is it gaining traction?

It delivers elite token speed without the TensorRT-LLM build hassle or vLLM overhead, with early B200 benchmarks topping charts on models like Kimi K2.5. CLI tools like `tokenspeed env` for setup checks and docs for model recipes make spinning up inference dead simple. Lean, focused design from a small team hooks perf obsessives.

Who should use this?

AI infra engineers benchmarking LLM serving on NVIDIA Hopper/Blackwell GPUs. Teams prototyping high-RPS APIs for chat or completions workloads. Anyone chasing max token speed before committing to heavier engines.

Verdict

Grab for benchmarks if you're on B200s—reproduces killer token speed results out of the box. But it's preview-only (156 stars, heavy dev, no prod use); 0.7% credibility score screams "test rigorously." Promising direction, watch for stable release.

(178 words)

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