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Salmankotakuth/Qwen-LoRa-finetuned
Qwen-LoRa-finetuned is a machine learning model from Salmankotakuth. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Downloads · 30 days
3
16% of all-time downloads
All-time downloads
19
Public
Parameters
8.3B
6.9 GB on disk
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Public
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.safetensors6.9 GB · 100%
How the weights are stored.
U86.7B · 79%
From the Hugging Face model README
The Qwen LLM can be finetuned with LoRA adapters by freezing the original model weights and only training a small number of new, low-rank matrices. The original, large model is left untouched, and the small adapter weights are trained to capture the information for a new, specific task. This makes the process much more efficient and less computationally expensive than traditional fine-tuning. After the finetuning, we can merge the Qwen model and the LoRa adapters to form a single model, which can be run using vLLM or Ollama.
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