https://
huggingface.co/papers/2410.15
735
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@abhi1thakur
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AutoTrain Advanced: Easy Local and Hub Model Fine-tuning
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The easiest way to fine-tune models Locally or on Hugging Face Hub, now via Python "pip install autotrain-advanced"
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Run Any GGUF Model from Hugging Face Hub with Ollama
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Now you can run any GGUF model from Hugging Face Hub with Ollama
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AutoTrain Docs Enhanced with Walkthroughs and Sample Datasets
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AutoTrain Docs just got a massive improvement. Now, there are example walkthroughs, task pages consists of sample dataset for each tasks and explanation of all parameters and quickstarts guides for both local and Hugging Face Spaces training. If something is missing, let me know
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Using Copilot Effectively: Let Suggestions Guide Your Workflow
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you are probably using it wrong. you do your thing and let it suggest. makes repetitive and boring things fast and sometimes suggestions are good too! thats how i use copilot.
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AutoTrain Models Ownership and Hub Push Options
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yes. all models trained using autotrain belong to the end user. its also your choice if you want to push the trained model to hugging face hub (preferred choice) when training the models locally. when using HF spaces/UI, the model will always be pushed to huggingface hub as a
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New LLM finetuning documentation released for AutoTrain
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Brand new LLM finetuning docs for AutoTrain: https://
huggingface.co/docs/autotrain
/tasks/llm_finetuning
… Improvement suggestions most welcome 🙂 -
Fine-tuning Llama 3.2 Models Locally and in the Cloud
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Here's how you can easily fine-tune latest llama 3.2 (1b and 3b) locally and on cloud: