this post was submitted on 27 Nov 2023
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LocalLLaMA

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Community to discuss about Llama, the family of large language models created by Meta AI.

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Starling-RM-7B-alpha: New RLAIF Finetuned 7b Model beats Openchat 3.5 and comes close to GPT-4 (alien.top)
submitted 9 months ago by Legcor@alien.top to c/localllama@poweruser.forum
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https://preview.redd.it/3krgd1sg2z2c1.png?width=800&format=png&auto=webp&s=b76c5fb9fa22938c74ec3095f63adaec8ff2219d

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I came across this new finetuned model based on Openchat 3.5 which is apparently trained used Reinforcement Learning from AI Feedback (RLAIF).

https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha

Check out this tweet: https://twitter.com/bindureddy/status/1729253715549602071

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[–] visarga@alien.top 1 points 9 months ago (2 children)

how do you add your own gguf into ollama? it seems to be storing models as cryptic binary blobs in a folder.

[–] dododragon@alien.top 1 points 9 months ago

generate the sha256 hash using sha256sum your_model.gguf

rename your_model.gguf to "sha256:_hash_" (replace _hash_ with the actual hash)

move it to /usr/share/ollama/.ollama/models/blobs folder

copy a manifest from a similar model in /usr/share/ollama/.ollama/models/

manifests/registry.ollama.ai/library and update the hash & filesize to match your model in the "image.model" entry.

repeat last step for the params entry

you can call the manifest folder/file whatever you like