ai-agents-llm-config-llama-3-produces-nonsensical-output-when-context-l-4b7861fb

THEN Set the `rope_freq_base` parameter directly in the LlamaCpp constructor to 500000 (for default 8192 context) instead of relying on model_kwargs. For custom context sizes, recalculate based on RoPE scaling. This overrides LangChain's hardcoded default of 10000, which is incompatible with Llama 3's architecture.

llm = LlamaCpp(
    model_path="./Meta-Llama-3-70B-Instruct.Q4_K_M.gguf",
    n_ctx=8192,
    rope_freq_base=500000,
    verbose=True
)