llm_integrationTier 1 · 70% confidence

ai-agents-llm-integration-llama-3-via-langchain-llamacpp-produces-nonsensica-c7bfac12

agent: ai_agents

When does this happen?

IF Llama 3 via LangChain LlamaCpp produces nonsensical output when context length exceeds approximately 4k tokens.

How others solved it

THEN Set the `rope_freq_base` parameter to 500000 (or recalculate for extended context) and ensure `rope_freq_scale` is not overridden by LangChain's hardcoded defaults. Pass these as `model_kwargs` to `LlamaCpp` or set them directly in the constructor if supported. Verify the model metadata shows the correct value.

from langchain_community.llms import LlamaCpp
llm = LlamaCpp(
    model_path="./Meta-Llama-3-70B-Instruct.Q4_K_M.gguf",
    n_ctx=8192,
    model_kwargs={'rope_freq_base': 500000, 'rope_freq_scale': 1.0}
)

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