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An easy way to try many of the fine-tuned Llama 2 models is https://github.com/jmorganca/ollama.

A maintainer of the project has been collecting a full list here (with different quantization levels), most of which are Llama 2-based: https://gist.github.com/mchiang0610/b959e3c189ec1e948e4f6a1f...

Since the release of Llama 2 the number of models based on it has been growing significantly.. some popular ones:

- codeup (A code generation model - DeepSE)

- llama2-uncensored (George Sung)

- nous-hermes-llama2 (Nous Research)

- wizardlm-uncensored (WizardLM)

- stablebeluga (Stability AI)

The article also recommends oobabooga's text-generation-webui which includes a full web dashboard.




Wow, thanks! I really like Ollama, so I'm glad the models listed at the top of the Readme aren't all you could use. Do you know where the data in that Gist came from? Is there a registry somewhere?


There is! While not easy to use yet, there's a sort-of-hidden way models can be listed with:

  curl https://ollama.ai/v2/_catalog | jq 
Then to list "tags" for a given model (e.g. llama2):

  curl https://ollama.ai/v2/library/llama2/tags/list | jq


Oh, you're the maintainer! Hahaha my bad. Thanks :)


llama2-uncensored is a lot of fun, interacting with an unaligned/uncensored model feels very fresh.




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