"Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-M-v1.4 was trained on the Yi-34B-200K base."
Perplexity on the dev set as repoted by quip# was slightly below 7 compared to slightly below 6 of the original.
Inference with the model is a bit slow, but with the long context length it should provide one of the best performing few-shot models for consumer and data science GPUs, especially if the instances are longer and the answers relatively short.
Prompt Format:
SYSTEM: <ANY SYSTEM CONTEXT>
USER:
ASSISTANT:
I am able to use this model in the widely known textgen-webui. For installation I suggest to follow these steps:
Put the current quip# library folder into the repositories folder of the textgen-webui folder.
License
The Yi series models are fully open for academic research and free commercial usage with permission via applications. All usage must adhere to the Model License Agreement 2.0. To apply for the official commercial license, please contact us (
[email protected]
).
Runs of KnutJaegersberg Tess-M-34B-2bit on huggingface.co
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