12 мая 2024 г. · It seems that if model is trained with 8K and you double it to 16K by scaling RoPE it is completely fine and only becomes a problem beyond 2x. Is it true?

15 мар. 2023 г. · Increasing the context length uses more memory. on a 64 GB RAM system you can go up to around 12288 context with 7B, but larger models require smaller context.

19 апр. 2024 г. · With llama-2 it was possible to extend the context window somewhat through the so-called alpha parameter (Rope NTK thingy).

25 сент. 2023 г. · When I went to perform an inference through this model I saw that the maximum context length is 512. What is the reason for this modification?

The context window of the Llama models determines the maximum number of tokens that can be processed at once. By default, this is set to 512 tokens, but can be ...

24 янв. 2024 г. · Port of self extension to llama.cpp server, allows to effortlessly extend existing LLMs' context window without any fine-tuning.

In this short notebook, we show how to use the llama-cpp-python library with LlamaIndex. In this notebook, we use the llama-2-chat-13b-ggml model, along with ...

9 сент. 2024 г. · Llama 3.1 allows a context window of 128k tokens. We investigate how to take advantage of this long context of Llama without running into performance issues. What is Context Length? · Our Experience With Llama 3.1

If the requested tokens exceed the context window. RuntimeError –. If the prompt fails to tokenize or the model fails to evaluate the prompt. Returns:.

Context Window Size​. You can serve models with different context window sizes with your Llama.cpp server. By default, the contextWindowSize property on the ...