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karpathy/nanochat
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**karpathy/nanochat**
The best ChatGPT that $100 can buy.nanochat nanochat is the simplest experimental harness for training LLMs. It is designed to run on a single GPU node, the code is minimal/hackable, and it covers all major LLM stages including tokenization, pretraining, finetuning, evaluation, inference, and a chat UI. For example, you can train your own GPT-2 capability LLM (which cost ~$43,000 to train in 2019) for only $72 (~3 hours of 8XH100 GPU node) and then talk to it in a familiar ChatGPT-like web UI. On a spot instance, the total cost can be closer to ~$20. More generally, nanochat is configured out of the box to train an entire miniseries of compute-optimal models by setting one single complexity dial: --depth, the number of layers in the GPT transformer model (GPT-2 capability happens to be approximately depth 26)...
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**[devsupporter ํด์ค]**
์ด ๊ธฐ์ฌ๋ GitHub Trending Weekly All์์ ์ ๊ณตํ๋ ์ต์ ๊ฐ๋ฐ ๋ํฅ์ ๋๋ค. ๊ด๋ จ ๋๊ตฌ๋ ๊ธฐ์ ์ ๋ํด ๋ ์์๋ณด์๋ ค๋ฉด ์๋ณธ ๋งํฌ๋ฅผ ์ฐธ๊ณ ํ์ธ์.
The best ChatGPT that $100 can buy.nanochat nanochat is the simplest experimental harness for training LLMs. It is designed to run on a single GPU node, the code is minimal/hackable, and it covers all major LLM stages including tokenization, pretraining, finetuning, evaluation, inference, and a chat UI. For example, you can train your own GPT-2 capability LLM (which cost ~$43,000 to train in 2019) for only $72 (~3 hours of 8XH100 GPU node) and then talk to it in a familiar ChatGPT-like web UI. On a spot instance, the total cost can be closer to ~$20. More generally, nanochat is configured out of the box to train an entire miniseries of compute-optimal models by setting one single complexity dial: --depth, the number of layers in the GPT transformer model (GPT-2 capability happens to be approximately depth 26)...
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**[devsupporter ํด์ค]**
์ด ๊ธฐ์ฌ๋ GitHub Trending Weekly All์์ ์ ๊ณตํ๋ ์ต์ ๊ฐ๋ฐ ๋ํฅ์ ๋๋ค. ๊ด๋ จ ๋๊ตฌ๋ ๊ธฐ์ ์ ๋ํด ๋ ์์๋ณด์๋ ค๋ฉด ์๋ณธ ๋งํฌ๋ฅผ ์ฐธ๊ณ ํ์ธ์.
