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TinyLlama: An Open-Source Small Language Model

arxiv.org

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Re: TinyLlama: An Open-Source Small Language Model

#3
I've been using one of the earlier checkpoints for benchmarking a Llama implementation. Completely anecdotally I feel at least as good or better about this one than the earlier openllama 3B. I wouldn't use either of them for RAG or anything requiring more power, just to say that it's competitive as a smaller model, whatever you use those for, and easy to run on CPU at FP16 (meaning without serious quantization).

Re: TinyLlama: An Open-Source Small Language Model

#4
post #3

I've been using one of the earlier checkpoints for benchmarking a Llama implementation. Completely anecdotally I feel at least as good or better about this one than the earlier openllama 3B. I wouldn't use either of them for RAG or anything requiring more power, just to say that it's competitive as a smaller model, whatever you use those for, and easy to run on CPU at FP16 (meaning without serious quantization).

>I wouldn't use either of them for RAG

What's RAG?

Re: TinyLlama: An Open-Source Small Language Model

#5
OP here with a shameless plug: for anyone interested, I'm working on a site called Emergent Mind that surfaces trending AI/ML papers. This TinyLlama paper/repo is trending #1 right now and likely will be for a while due to how much attention it's getting across social media: https://www.emergentmind.com/papers/2401.02385. Emergent Mind also looks for and links to relevant discussions/resources on Reddit, X, HackerNews, GitHub, and YouTube for every new arXiv AI/ML paper. Feedback welcome!

Re: TinyLlama: An Open-Source Small Language Model

#6
post #4
post #3

I've been using one of the earlier checkpoints for benchmarking a Llama implementation. Completely anecdotally I feel at least as good or better about this one than the earlier openllama 3B. I wouldn't use either of them for RAG or anything requiring more power, just to say that it's competitive as a smaller model, whatever you use those for, and easy to run on CPU at FP16 (meaning without serious quantization).

>I wouldn't use either of them for RAG What's RAG?

Retrieval augmented generative, basically giving it some text passage and asking questions about the text.

Re: TinyLlama: An Open-Source Small Language Model

#7
post #5

OP here with a shameless plug: for anyone interested, I'm working on a site called Emergent Mind that surfaces trending AI/ML papers. This TinyLlama paper/repo is trending #1 right now and likely will be for a while due to how much attention it's getting across social media: https://www.emergentmind.com/papers/2401.02385 . Emergent Mind also looks for and links to relevant discussions/resources on Reddit, X, HackerNe…

I visit your site every day. Thank you for creating it and evolving it past simple summaries to show paper details!

I recall you were looking to sell it at some point. Was wondering what that process looked like, and why you ended up holding on to the site.

Re: TinyLlama: An Open-Source Small Language Model

#8
post #4
post #3

I've been using one of the earlier checkpoints for benchmarking a Llama implementation. Completely anecdotally I feel at least as good or better about this one than the earlier openllama 3B. I wouldn't use either of them for RAG or anything requiring more power, just to say that it's competitive as a smaller model, whatever you use those for, and easy to run on CPU at FP16 (meaning without serious quantization).

>I wouldn't use either of them for RAG What's RAG?

If you want more on RAG with a concrete example: https://neuml.hashnode.dev/build-rag-pipelines-with-txtai

Re: TinyLlama: An Open-Source Small Language Model

#9
post #5

OP here with a shameless plug: for anyone interested, I'm working on a site called Emergent Mind that surfaces trending AI/ML papers. This TinyLlama paper/repo is trending #1 right now and likely will be for a while due to how much attention it's getting across social media: https://www.emergentmind.com/papers/2401.02385 . Emergent Mind also looks for and links to relevant discussions/resources on Reddit, X, HackerNe…

I am new to this space. Is it hard to fine tune this model?
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