Yeah all the steps can be replicated for a 70B version. The only issue is we don't have as many high-quality fine-tunes of this model.
OPEN SOURCE
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Abliteration Technique Uncensors LLMs Like NeuralDaredevil-8B
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Uncensor any LLM with abliteration I wrote an article on @huggingface about abliteration and how NeuralDaredevil-8B was created. It's a cool technique with a lot of potential. Special thanks to @failspy for proofreading the article. Article: https://
huggingface.co/blog/mlabonne/
abliteration
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LLM Apps with RAG: Awesome Demos on GitHub
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Find all the awesome LLM Apps demo with RAG in the following Github Repo. P.S: Don't forget to star the repo to show your support
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Full ChatGPT Clone Application Code Using Llama-3
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Full Application code for ChatGPT Clone using Llama-3
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Deploy Llama-3 Locally Create OpenAI Compatible API
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3. Deploy Llama-3 locally and Create OpenAI like API
— Shubham Saboo (@Saboo_Shubham_) 3 juin 2024
• Download & Install the @LMStudioAI desktop app
• Download llama-3 instruct model
• Expose the model as OpenAI API by simply starting the server.
Here's the video walkthrough:pic.twitter.com/VsIOM4j5EX3. Deploy Llama-3 locally and Create OpenAI like API • Download & Install the @LMStudioAI desktop app
• Download llama-3 instruct model
• Expose the model as OpenAI API by simply starting the server. Here's the video walkthrough: -

Building Web Apps with Llama-3 and Streamlit
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2. Import necessary libraries • Streamlit for building the web app
• OpenAI for accessing the Llama-3 model from a local server using the @LMStudioAI -
Build ChatGPT Clone Locally Using Llama-3 Free
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Build a ChatGPT clone using Llama-3 running locally on your computer (100% free and without internet):
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FineWeb Dataset Wins Test of Time Award
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Test of time award! https://
huggingface.co/spaces/Hugging
FaceFW/blogpost-fineweb-v1
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Exporting Model Weights for Faster Evaluation Infrastructure
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Instead of building them out inside llm.c it might be faster to export the model weights into "common infra" and run evals with that. I don't have time to get around to it right away but made an Issue a few days ago for someone to potentially take a look.