Re:Qwen2 LLM Released
by 3abiton on Thursday June 06, 2024 @12:55PM
(#40599680)
I wonder if the 0.5B model would be usable for ML tasks like summarization, classification, or embeddings, replacing small models like Spacy usually used for embeddings.
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It won't. Amazon kind of when that angle with MistralLite[1] (a 7B finetune), and it was barely passing in terms of being an effective summarizer. 0.5B are pretty much useless.
The official Mistral-7B-v0.2 model added support for 32k context, and I think it's far better than MistralLite. Third-party finetunes are rarely amazing at the best of times.
Now, we have Mistral-7B-v0.3, which is supposedly an even better model:
My experience is that < 500M models are pretty useful when fine-tuned on traditional NLP tasks, such as text classification and sentence/token level labeling. A modern LM with a 32K context window size could be a nice replacement for BERT, RoBERTa, BART.