3 Commits (95b8fb312e5df8ce08a583c67f1e6d1e98985a21)

Author	SHA1	Message	Date
Aaron Miller	b19a3e5b2c	add requiredMem method to llmodel impls ... most of these can just shortcut out of the model loading logic llama is a bit worse to deal with because we submodule it so I have to at least parse the hparams, and then I just use the size on disk as an estimate for the mem size (which seems reasonable since we mmap() the llama files anyway)	1 year ago
Aaron Miller	88616fde7f	llmodel: change tokenToString to not use string_view (#968) ... fixes a definite use-after-free and likely avoids some other potential ones - std::string will convert to a std::string_view automatically but as soon as the std::string in question goes out of scope it is already freed and the string_view is pointing at freed memory - this is *mostly* fine if its returning a reference to the tokenizer's internal vocab table but it's, imo, too easy to return a reference to a dynamically constructed string with this as replit is doing (and unfortunately needs to do to convert the internal whitespace replacement symbol back to a space)	1 year ago
Richard Guo	c4706d0c14	Replit Model (#713) ... * porting over replit code model to gpt4all * replaced memory with kv_self struct * continuing debug * welp it built but lot of sus things * working model loading and somewhat working generate.. need to format response? * revert back to semi working version * finally got rid of weird formatting * figured out problem is with python bindings - this is good to go for testing * addressing PR feedback * output refactor * fixed prompt reponse collection * cleanup * addressing PR comments * building replit backend with new ggmlver code * chatllm replit and clean python files * cleanup * updated replit to match new llmodel api * match llmodel api and change size_t to Token * resolve PR comments * replit model commit comment	1 year ago