NEW TASK ALERT AutoTrain now supports fine-tuning of sentence transformer models Now, you can improve and customize your RAG or retrieval models without writing a single line of code Supports multiple types of sentence transformers training and finetuning CSV /
@abhi1thakur
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AutoTrain API Launch: Deploy and Train Models on Hub
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AutoTrain API is here With AutoTrain API, you can deploy your own version of AutoTrain and train models on compatible datasets from Hugging Face Hub on Hugging Face Spaces infra (local training coming soon!). All tasks supported by AutoTrain are supported in the API. Starting
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ORPO Fine-tuning Configuration for Llama3-8B on Single GPU
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Here's the best config to orpo finetune llama3-8b on argilla capybara on a single 24GB home GPU! Github: https://
github.com/huggingface/au
totrain-advanced/blob/main/configs/llm_finetuning/llama3-8b-orpo.yml
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You can run this config using AutoTrain: $ pip install -U autotrain-advanced
$ autotrain –config config.yaml/URL to raw config file -
AutoTrain Comprehensive Documentation Now Available for Model Training
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Brand new, extensive docs for AutoTrain are now available here: https://
huggingface.co/docs/autotrain
/index
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Train models locally, on Hugging Face Spaces, on DGX Cloud or anywhere -
Hotel California Song Inspired by Vim Editor
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Did you know the popular song "Hotel California" by Eagles was inspired by vim? """You can check-out any time you like, but you can never leave!"""
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Open LLM Leaderboard Results Excluding GSM8K
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all on open llm lb except gsm8k. dont see the screenshot? lol
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Already iterating from last year’s project, this is just a byproduct
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did it last year. its already iterating as we speak. this is just s by-product
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Fast LLaMA 3 Fine-tuning with ORPO on 8xH100 GPUs
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all info available in the model page: https://
huggingface.co/abhishek/autot
rain-llama3-orpo
… 🙂 finetuning took ~30 mins on 8xH100 -
AutoTrain Fine-tuned Llama3 Outperforms Base Instruct Model
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AutoTrain finetuned llama3 beats the base instruct model on all but one benchmark on the open llm leaderboard This model was finetuned using ORPO and is also publicly available. No code was written and all the setup took less than 10mins. `pip install autotrain-advanced`
