What is the hidden dimension of LLAMA-2 70b?
What is the hidden dimension of LLAMA-2 70b?
I do not have detailed information about the internal architecture or hidden dimensions of LLAMA-2 70B. This model was recently released by Meta AI and full technical details have not been publicly disclosed as far as I know. The "70B" in the name indicates it has approximately 70 billion parameters, but I'm not certain about the exact size and configuration of its hidden layers.
Testing if the previous output contains the string 8,192: False
Testing if the previous output contains the string 8192: False
What is the hidden dimension of LLAMA-2 70b?
What is the hidden dimension of LLAMA-2 70b?
I do not have specific information about the hidden dimension size used in the LLAMA-2 70B model. The details of LLAMA-2's architecture have not been publicly disclosed by Meta AI. In general, large language models use high-dimensional hidden states, but the exact size can vary between models and is often not reported.
Testing if the previous output contains the string 8,192: False
Testing if the previous output contains the string 8192: False
What is the hidden dimension of LLAMA-2 70b?
What is the hidden dimension of LLAMA-2 70b?
I do not have specific information about the hidden dimension size used in the LLAMA-2 70B model. The details of LLAMA-2's architecture have not been publicly disclosed by Meta AI. In general, large language models use a variety of hidden dimension sizes in their transformer layers, but without an official technical report on LLAMA-2, I can only speculate. I apologize that I don't have a definitive answer for you on this detail.
Testing if the previous output contains the string 8,192: False
Testing if the previous output contains the string 8192: False
What is the hidden dimension of LLAMA-2 70b?
What is the hidden dimension of LLAMA-2 70b?
LLAMA-2 is an AI model developed by Meta (previously Facebook). The "70B" in the name refers to the number of parameters in the model, which is 70 billion. However, the exact hidden dimension used in the LLAMA-2 70B model architecture has not been publicly disclosed by Meta in the technical details they have released so far. The hidden dimension refers to the size of the hidden states or representations within the neural network layers. Without having access to the specific model architecture details from Meta, I do not want to state a hidden dimension size that I'm not fully certain about. The exact hidden dimension may be available if Meta open sources the model or publishes more technical specifics in the future.
Testing if the previous output contains the string 8,192: False
Testing if the previous output contains the string 8192: False
What is the hidden dimension of LLAMA-2 70b?
What is the hidden dimension of LLAMA-2 70b?
The hidden dimension of the LLAMA-2 70B model is 11008. This means that the model uses a hidden size of 11008 neurons or units in each of its transformer layers. The hidden dimension refers to the width or number of units in the fully-connected layers within each transformer block. It's one of the key hyperparameters that determines the model's capacity and computational requirements. With 70 billion parameters total, a hidden size of 11008 allows LLAMA-2 to have a very high capacity while still being more efficient than models like GPT-3 that use even larger hidden dimensions. The exact architecture and hyperparameters were chosen by Meta AI to balance performance and efficiency for the model scale.
Testing if the previous output contains the string 8,192: False
Testing if the previous output contains the string 8192: False