Instructions to use TheBloke/mpt-30B-chat-GGML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheBloke/mpt-30B-chat-GGML with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TheBloke/mpt-30B-chat-GGML", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Setting max_seq_len even higher
#7
by RonanMcGovern - opened
I'm curious how/why the base length is 8,000 . Was max_seq_len just set like this as config (since the model uses ALiBi).
I assume I could set max_seq_len to a higher value, or is that configuration hard coded for a given quantized model?
Lastly, is the main benefit of quantization that you get some reduction in the model size and run time (say a reduction to 5/16ths of size if using int5 versus fp16 (or is it bf16)?