Question 1

What is the cost of Meta-Llama-3-8B-Instruct by GitHub Models?

Accepted Answer

Meta-Llama-3-8B-Instruct by GitHub Models costs Free per 1M input tokens and Free per 1M output tokens.

Question 2

What is the context window of Meta-Llama-3-8B-Instruct by GitHub Models?

Accepted Answer

Meta-Llama-3-8B-Instruct by GitHub Models has a context window of 8K tokens. It supports up to 8K input tokens and can generate up to 2K output tokens.

Question 3

What are the capabilities of Meta-Llama-3-8B-Instruct by GitHub Models?

Accepted Answer

Meta-Llama-3-8B-Instruct by GitHub Models supports advanced reasoning, tool calling/function calling, adjustable temperature. It has open weights.

Question 4

What input and output types does Meta-Llama-3-8B-Instruct support?

Accepted Answer

Meta-Llama-3-8B-Instruct by GitHub Models accepts text as input and can generate text as output.

Question 5

Does Meta-Llama-3-8B-Instruct by GitHub Models support reasoning?

Accepted Answer

Yes, Meta-Llama-3-8B-Instruct by GitHub Models supports advanced reasoning capabilities.

Question 6

Is Meta-Llama-3-8B-Instruct by GitHub Models open source?

Accepted Answer

Yes, Meta-Llama-3-8B-Instruct by GitHub Models has open weights, meaning the model weights are publicly available for download and self-hosting.

Question 7

Does Meta-Llama-3-8B-Instruct support function calling?

Accepted Answer

Yes, Meta-Llama-3-8B-Instruct by GitHub Models supports tool calling (also known as function calling), allowing it to interact with external tools and APIs during conversations.

Question 8

What is the knowledge cutoff date for Meta-Llama-3-8B-Instruct?

Accepted Answer

Meta-Llama-3-8B-Instruct by GitHub Models has a knowledge cutoff date of 2023-12. This means the model was trained on data available up until that date.

Meta-Llama-3-8B-Instruct API

Input Modalities

Output Modalities

Standard (per 1M tokens)