Among the list of primary highlights of MythoMax-L2–13B is its compatibility Along with the GGUF structure. GGUF gives numerous benefits over the former GGML format, such as improved tokenization and guidance for special tokens.
Such as, the transpose operation on the two-dimensional that turns rows into columns might be performed by just flipping ne and nb and pointing to the same fundamental knowledge:
Model Information Qwen1.five is often a language design series including decoder language models of various model measurements. For every dimension, we release The bottom language product and the aligned chat product. It is based around the Transformer architecture with SwiGLU activation, consideration QKV bias, team question notice, mixture of sliding window consideration and comprehensive attention, and so on.
The masking operation is really a essential phase. For each token it retains scores only with its preceeding tokens.
ChatML will considerably assist in producing a regular concentrate on for details transformation for submission to a chain.
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Chat UI supports the llama.cpp API server straight with no will need for an adapter. You can do this using the llamacpp endpoint variety.
To exhibit their product good quality, we adhere to llama.cpp To judge their perplexity on wiki test established. Outcomes are shown beneath:
MythoMax-L2–13B has also manufactured substantial contributions to tutorial analysis and collaborations. Scientists in the sector of natural language processing (NLP) have leveraged the model’s exceptional mother nature and precise features to advance the idea of language era and connected tasks.
If you'd like any personalized settings, set them and afterwards click Help you save options for this model accompanied by Reload the Design in the very best suitable.
Notice which the GPTQ calibration dataset isn't similar to the dataset check here utilized to teach the design - be sure to consult with the initial model repo for facts of the schooling dataset(s).
To create a for a longer period chat-like discussion you just really have to incorporate Every reaction information and every of your consumer messages to each ask for. In this way the product will have the context and can present much better solutions. You are able to tweak it even further by supplying a process concept.
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