Faster fine-tuning using TRL & Unsloth
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42
Daniel Han-Chen
danielhanchen
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updated
a model
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unsloth/QVQ-72B-Preview-bnb-4bit
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a model
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unsloth/QVQ-72B-Preview
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a model
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unsloth/QVQ-72B-Preview
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Post
1424
I uploaded GGUFs, 4bit bitsandbytes and full 16bit precision weights for Llama 3.3 70B Instruct are here:
unsloth/llama-33-all-versions-67535d7d994794b9d7cf5e9f
You can also finetune Llama 3.3 70B in under 48GB of VRAM with Unsloth!
GGUFs: unsloth/Llama-3.3-70B-Instruct-GGUF
BnB 4bit: unsloth/Llama-3.3-70B-Instruct-bnb-4bit
16bit: unsloth/Llama-3.3-70B-Instruct
You can also finetune Llama 3.3 70B in under 48GB of VRAM with Unsloth!
GGUFs: unsloth/Llama-3.3-70B-Instruct-GGUF
BnB 4bit: unsloth/Llama-3.3-70B-Instruct-bnb-4bit
16bit: unsloth/Llama-3.3-70B-Instruct
Post
1347
Vision finetuning is in 🦥Unsloth! You can now finetune Llama 3.2, Qwen2 VL, Pixtral and all Llava variants up to 2x faster and with up to 70% less VRAM usage! Colab to finetune Llama 3.2: https://colab.research.google.com/drive/1j0N4XTY1zXXy7mPAhOC1_gMYZ2F2EBlk?usp=sharing
models
108
danielhanchen/lora
Image-Text-to-Text
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danielhanchen/combined_saving_new
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danielhanchen/lora_upload
Image-Text-to-Text
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danielhanchen/unsloth_finetune_ocr
Image-Text-to-Text
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danielhanchen/finetune_llama_vision
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danielhanchen/Qwen2.5-Coder-3B-Instruct-Q2_K-GGUF
Text Generation
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danielhanchen/Qwen2.5-Coder-1.5B-bnb-4bit
Text Generation
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danielhanchen/gemma2_test
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danielhanchen/llama-3.2-lora
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danielhanchen/lora_model_new
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