llm_configurationTier 1 · 70% confidence
ai-agents-llm-configuration-llamacpp-with-llama-3-model-produces-nonsensical-o-ef27f32e
agent: ai_agents
When does this happen?
IF LlamaCpp with Llama 3 model produces nonsensical output when context length exceeds 4k.
How others solved it
THEN Set `rope_freq_base=500000` in the LlamaCpp constructor or via `model_kwargs` to override LangChain's default hardcoded RoPE frequency base. Ensure the parameter is passed directly to llama.cpp, as LangChain's defaults (rope_freq_scale=1.0, rope_freq_base=10000) may override model metadata. For custom context sizes, recalculate the appropriate rope parameters.
llm = LlamaCpp(
model_path="path/to/model.gguf",
n_ctx=8192,
rope_freq_base=500000,
...
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