Earlier quoted context omitted.
How? It's larger than 64GB.
Quantization is highly effective at reducing memory and storage requirements, and it barely has any impact on quality (unless you take it to the extreme). Approximately no one should ever be running the full fat fp16 models during inference of any of these LLMs. That would be incredibly inefficient. I run 33B parameter models on my RTX 3090 (24GB VRAM) no problem. 70B should easily fit into 64GB of RAM.
Meta AI releases Code Llama 70B
71–80 of 311 posts
Re: Meta AI releases Code Llama 70B
#72Given how good some of the smaller code models are (such as Deepseek Coder at 6.7B), I'll be curious to see what this 70B model is capable of!
AlphaCodium is the newest kid on the block that's SoTA pass@5 on coding tasks (authors claim at least 2x better than GPT4): https://github.com/Codium-ai/AlphaCodium As for small models, Microsoft has been making noise with the unreleased WaveCoder-Ultra-6.7b ( https://arxiv.org/abs/2312.14187 ).
Re: Meta AI releases Code Llama 70B
#73Can someone explain Meta's strategy with the open source models here? Genuine question, I don't fully undestand. (Please don't say "commoditize your complement" without explaining what exactly they're commoditizing...)
Re: Meta AI releases Code Llama 70B
#74Can someone explain Meta's strategy with the open source models here? Genuine question, I don't fully undestand. (Please don't say "commoditize your complement" without explaining what exactly they're commoditizing...)
(I try to train myself to say it right ..)
Re: Meta AI releases Code Llama 70B
#75Can someone explain Meta's strategy with the open source models here? Genuine question, I don't fully undestand. (Please don't say "commoditize your complement" without explaining what exactly they're commoditizing...)
Re: Meta AI releases Code Llama 70B
#76Llama is getting better and better, I heard this and Llama 3 will start to be good as GPT-4. Who would have thought that Meta, that has been chucking billions on the metaverse is on the forefront of Open Source AI. Not to mention their stock is up and they are worth $1TN, again. Not sure how I feel about this given the fact of all the scandals that have plagued them and the massive 1BN fine from the EU, Cambridge Ana…
I'm really curious what their goal is
Re: Meta AI releases Code Llama 70B
#77Earlier quoted context omitted.
You can run it on a Macbook M1/M2 with 64GB of RAM.
How? It's larger than 64GB.
For example, take a look at the GGUF file sizes here: https://huggingface.co/TheBloke/Llama-2-70B-GGUF
Re: Meta AI releases Code Llama 70B
#78Can someone explain Meta's strategy with the open source models here? Genuine question, I don't fully undestand. (Please don't say "commoditize your complement" without explaining what exactly they're commoditizing...)
They've gained an incredible amount of influence and mindshare.
Re: Meta AI releases Code Llama 70B
#79Re: Meta AI releases Code Llama 70B
#80Can someone explain Meta's strategy with the open source models here? Genuine question, I don't fully undestand. (Please don't say "commoditize your complement" without explaining what exactly they're commoditizing...)
It costs them nothing to open it up, so why not. Kinda like all the rest of their GitHub repos.