I adapted this recipe to Llama 3.1 70B using @failspy
's Meta-Llama-3-70B-Instruct-abliterated-v3.5 and optimized the LoRA rank. GGUF quants are ready and there shouldn't be any issue with the tokenizer. Special thanks to him and to grimjim for the model and this technique.
OPEN SOURCE
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Llama 3.1 70B Recipe Adapted with LoRA Optimization
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Uncensored Llama 3.1 70B Instruct Model Released
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Llama 3.1 70B Instruct lorablated It's an uncensored Llama 3.1 70B Instruct using grimjim's recipe of LoRA + abliteration (lorablation). The model is fully uncensored in my tests and maintains a high level of quality. Model: https://
huggingface.co/mlabonne/Llama
-3.1-70B-Instruct-lorablated
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Lorablation: Two-Step LoRA Extraction for Model Abliteration
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Lorablation is a simple two-step process: 1/ Extract a LoRA by comparing two models: a censored and an abliterated Llama 3.0 2/ Merge the LoRA with a censored Llama 3.1 to abliterate it It means that we directly applied a Llama 3 LoRA to a 3.1 model and it just works!
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htmx2ft adds flexible syntax output support
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Ah what the hell here's another quick release to add a last minute PR. `htmx2ft` now supports either children-first or attr-first syntax output. https://
github.com/AnswerDotAI/fa
sthtml/pull/193
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htmx2ft releases children-first and attr-first syntax output
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Ah what the hell here's another quick release to add a last minute PR. `htmx2ft` now supports either children-first or attr-first syntax output.
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Starlette HTTPException Handling Support for Python Components
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"Support FT in HTTPException handling (#175)"
With this, you can now return python components from Starlette exception handlers, and all your headers etc will be included in the full page response. -
FastHTML Release: New Features and Improvements Announced
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New FastHTML release! And a lot of nice little improvements — will highlight a few in this thread.
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AI-Powered Jupyter Notebook for Code Generation and Data Analysis
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GitHub – squaredtechnologies/thread: AI-powered Jupyter Notebook — use local AI to generate and edit code cells, automatically fix errors, and chat with your data https://
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FastHTML Interview: Carson Gross on HTMX Innovation
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We recently released FastHTML, heavily based on the work of Carson Gross, so I interviewed him. It was perhaps the most fascinating interview I've done.
— Jeremy Howard (@jeremyphoward) 5 août 2024
I believe that HTMX is a work of genius. Watch this and see if you agree (or Youtube version in next post 🧵): pic.twitter.com/RGSNLC9R85We recently released FastHTML, heavily based on the work of Carson Gross, so I interviewed him. It was perhaps the most fascinating interview I've done. I believe that HTMX is a work of genius. Watch this and see if you agree (or Youtube version in next post ):
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Claude Now Supports Pydantic Plugin Integration
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Many thanks to Tom Pollak, Claudette (the great friend of @AnthropicAI Claude) now supports @pydantic too, thanks to this new plugin!