NOTE: You will need a recent build of llama.cpp to run these quants (i.e. at least commit 494c870
).
GGUF importance matrix (imatrix) quants for https://huggingface.co./cognitivecomputations/dolphincoder-starcoder2-15b
- The importance matrix was trained for ~50K tokens (105 batches of 512 tokens) using a general purpose imatrix calibration dataset.
- The imatrix is being used on the K-quants as well (under Q6_K).
This model is based on StarCoder2-15b and is subject to bigcode-openrail-m license.
This Dolphin is really good at coding, I trained with a lot of coding data.
This model is uncensored. I have filtered the dataset to remove alignment and bias. This makes the model more compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant to any requests, even unethical ones. Please read my blog post about uncensored models. https://erichartford.com/uncensored-models You are responsible for any content you create using this model. Enjoy responsibly.
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