Initial Query

What is the hidden dimension of LLAMA-2 70b?

LLM Generation

Query

What is the hidden dimension of LLAMA-2 70b?

Output

The hidden dimension of LLaMA-2 70B (70 billion parameters) model is 8192. This refers to the size of the hidden layers in the transformer architecture, which is a critical component influencing the model's capacity to learn and represent complex patterns in data.

Check if any of the following conditions are true:

Substring Evaluation

Testing if the previous output contains the string 8,192: False

Substring Evaluation

Testing if the previous output contains the string 8192: True

Final Answer: True

Initial Query

What is the hidden dimension of LLAMA-2 70b?

LLM Generation

Query

What is the hidden dimension of LLAMA-2 70b?

Output

The hidden dimension of the LLAMA-2 70B model is 8192. This refers to the size of the hidden layers within the transformer architecture, which is a critical parameter impacting the model's capacity and performance.

Check if any of the following conditions are true:

Substring Evaluation

Testing if the previous output contains the string 8,192: False

Substring Evaluation

Testing if the previous output contains the string 8192: True

Final Answer: True

Initial Query

What is the hidden dimension of LLAMA-2 70b?

LLM Generation

Query

What is the hidden dimension of LLAMA-2 70b?

Output

The hidden dimension of LLAMA-2 70B (LLaMA-2 70 Billion parameter model) is 8192. This dimension is part of the transformer architecture used in the model, where it defines the size of the vectors in the hidden layers of the neural network.

Check if any of the following conditions are true:

Substring Evaluation

Testing if the previous output contains the string 8,192: False

Substring Evaluation

Testing if the previous output contains the string 8192: True

Final Answer: True

Initial Query

What is the hidden dimension of LLAMA-2 70b?

LLM Generation

Query

What is the hidden dimension of LLAMA-2 70b?

Output

The "hidden dimension" in the context of neural networks, particularly large language models like LLAMA-2, refers to the size of the internal layers within the model. For LLAMA-2 70B (where "70B" indicates that the model has 70 billion parameters), the hidden dimension is 8192. This dimension is a critical parameter as it influences the model's capacity to learn and represent complex patterns in data.

Check if any of the following conditions are true:

Substring Evaluation

Testing if the previous output contains the string 8,192: False

Substring Evaluation

Testing if the previous output contains the string 8192: True

Final Answer: True

Initial Query

What is the hidden dimension of LLAMA-2 70b?

LLM Generation

Query

What is the hidden dimension of LLAMA-2 70b?

Output

The hidden dimension of LLAMA-2 70B (70 billion parameters) is 8192. In transformer architectures like LLAMA-2, the hidden dimension refers to the size of the vectors used in the internal layers of the model, such as the feedforward neural networks and the self-attention mechanisms. This dimension plays a crucial role in determining the capacity and performance of the model.

Check if any of the following conditions are true:

Substring Evaluation

Testing if the previous output contains the string 8,192: False

Substring Evaluation

Testing if the previous output contains the string 8192: True

Final Answer: True