Laguna S 2.1 以6倍少参数匹敌GLM-5.2游戏编码

Laguna S 2.1 (118B param) looks so great for intelligence per token. It matched the 753B GLM-5.2 on game coding with 6x fewer parameters. Both models faced the same job, alongside a third contender named Hy3. Test was done on atomic[.]chat, a desktop app that runs LLMs locally. Each had to build 3 arcade games as self-contained HTML files. The targets were Geometry Dash, Doodle Jump, and Air Hockey. Every game also had to play itself through a built-in bot. So no human touches the controls once the file opens. The smaller Laguna S 2.1 produced its solutions using just 10.3K tokens total. GLM-5.2 needed 26.4K tokens to reach roughly the same result. https://video.twimg.com/amplify_video/2079768167745019904/vid/avc1/1920x1080/_vwcSrd-wbdIB0b3.mp4?tag=29 > **引用原帖 atomic.chat (@atomic_chat_hq):** > Laguna S 2.1 performs at GLM-5.2 level on building popular games with 6x fewer params! > We gave three local models the same task: build three popular arcade games that play themselves. Each game is one self-contained HTML file with a bot that plays it. > Prompts: > – Geometry Dash > – Doodle Jump > – Air Hockey > Outputs: > Laguna S 2.1: 10.3K tokens > GLM-5.2: 26.4K tokens > Hy3: 10.4K tokens > Laguna held its quality against a 753B model. We think Laguna's Geometry Dash looked the best of the three, the cube clears every spike and block. GLM won Air Hockey. Its table looked the most detailed of all. Hy3 was the only model that added shooting to its Doodle Jump. But Laguna is the only model in our benchmark that runs on a MacBook with 128GB! > https://x.com/atomic_chat_hq/status/2079735890000183345 Rohan Paul (@rohanpaul_ai): Github of Atomic-Chat. "an open source alternative to ChatGPT that runs 100% offline on your computer." https://t.co/rfprzJzHRO Download it here. https://t.co/aMAZoaXjZ4