Llama 2 7B is the smallest listed Llama 2 variant, with seven billion parameters. It offers a practical way to run a large language model locally, but its size makes downloading, loading, and generation resource-intensive. section 10.1.1
Plan for these operational constraints:
- Download approximately 10 GB of model files and reserve roughly 34 GB or more of RAM after decompression. section 10.1.1
- Use a Hugging Face access token for the demonstrated Transformers workflow, or consider local tools such as Llama.cpp and Ollama. section 10.1.1
Generate a short answer
Load `meta-llama/Llama-2-7b-chat-hf` with `LlamaTokenizer` and `LlamaForCausalLM`, tokenize a question-and-answer prompt, and call `llama.generate`. A sample prompt produces an answer about recognizing misunderstandings; a streamed loop can emit tokens incrementally.
Treat generated answers as fallible: the arithmetic demonstration states “16 legs” but its explanation totals eight, illustrating why outputs require checking.
