Without gpu memory info, idk which would be best for tokens/sec. You want to offload as much as you can to the gpu. 10-15 tokens/sec is okay. Less than that gets annoying.
I would start with a 7b model then move to 11b or 13b once that is up and running.
You will probably have to quantize the model though. Codellama-> https://huggingface.co/codellama/CodeLlama-13b-Instruct-hf
——————- This is the main leaderboard, changes almost daily, and breaks sometimes. https://huggingface.co/spaces/bigcode/bigcode-models-leaderb...
Some models are trained specifically for something and coding then some are not. Gotta read the model card / dataset.
According to some other thread on Samantha, I think this one may be trained on coding also but you may have to test it or find the thread on Samantha ver 1.2. https://huggingface.co/ehartford/samantha-1.2-mistral-7b
Without gpu memory info, idk which would be best for tokens/sec. You want to offload as much as you can to the gpu. 10-15 tokens/sec is okay. Less than that gets annoying. I would start with a 7b model then move to 11b or 13b once that is up and running.