You can use any LLM just like JEV

Any GGUF LLM can be used like JEV by running it with llama.cpp, setting n_predict=1 and n_probs=10, and disabling reasoning. This allows for direct classification, such as prompting it to respond with "1" for spam and "0" for non-spam. The output includes logprobs for tokens like "1" (-0.00456317700445652) and "0" (-5.395024299621582), indicating the model's confidence. The example shows a model named "Spark-X2.5-4B-Q4_K_M.gguf" processing 64 prompt_tokens and 1 completion_token.

This method uniquely leverages logprobs to extract quantifiable confidence scores from any LLM, unlike typical classification where only the final output is considered.