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[return to "Fine-tune your own Llama 2 to replace GPT-3.5/4"]
1. ronyfa+wk[view] [source] 2023-09-12 18:29:55
>>kcorbi+(OP)
For translation jobs, I've experimented with Llama 2 70B (running on Replicate) v/s GPT-3.5;

For about 1000 input tokens (and resulting 1000 output tokens), to my surprise, GPT-3.5 turbo was 100x cheaper than Llama 2.

Llama 7B wasn't up to the task fyi, producing very poor translations.

I believe that OpenAI priced GPT-3.5 aggressively cheap in order to make it a non-brainer to rely on them rather than relying on other vendors (even open source models).

I'm curious to see if others have gotten different results?

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2. ttt3ts+aq1[view] [source] 2023-09-12 22:41:52
>>ronyfa+wk
You can run 70B LLAMA on dual 4090s/3090s with quantization. Going with dual 3090s you can get a system that can run LLAMA 2 70B with 12K context for < $2K.

I built two such a systems after burning that much in a week on ChatGPT.

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3. apstls+uG1[view] [source] 2023-09-13 00:30:56
>>ttt3ts+aq1
Are there any good resources related to expanding context windows, or even just the mechanics of how they actually work as properties of a model?
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