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kashifr

Check out my pytorch reproduction of the paper here for those interested: https://github.com/NVIDIA/physicsnemo/pull/1660
Re:TinyLoRA – Learning to Reason in 13 Parameters on Wednesday April 01, 2026 @09:34AM (#47600653)
You can try out TinyLoRA in PEFT main now: https://huggingface.co/docs/peft/main/en/package_reference/t...
Have you tried https://geobase.app/ they recently also had a post about duckdb integration: https://geobase.app/blog/duckdb-1-1-3
A novel and memory-friendly preference alignment method for diffusion models that does not depend on any reference model.
The dataset can be used for training preference models or aligning language models through techniques like Direct Preference Optimization (DPO).
Re:QLoRA 4-bit finetuning of LLMs on Wednesday May 24, 2023 @01:01PM (#36060973)
An efficient finetuning approach that reduces memory usage enough to finetune a 65B parameter model on a single 48GB GPU while preserving full 16-bit finetuning task performance!
Re:V0.15.0 Beyond Image Generation on Wednesday April 12, 2023 @03:16PM (#35545192)
The title is confusing but refers to the Huggingface Diffusers v0.15 release which brings new pipelines for video and audio to diffusers, showing that diffusion is a great choice for all sorts of generative tasks.
Re:StackLlama: A hands-on guide to train LlaMa with RLHF on Thursday April 06, 2023 @03:06PM (#35472931)
All the steps involved in training a LlaMa model to answer questions on Stack Exchange data with RLHF.

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