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https://github.com/ikawrakow/ik_llama.cpp.git
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Couldn't look at it without fixing it.
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@@ -311,10 +311,9 @@ void llama_sample_typical_impl(struct llama_sampling * smpl, llama_token_data_ar
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}
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// Compute the absolute difference between negative log probability and entropy for each candidate
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std::vector<float> shifted_scores;
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std::vector<float> shifted_scores(candidates->size);
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for (size_t i = 0; i < candidates->size; ++i) {
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float shifted_score = fabsf(-logf(candidates->data[i].p) - entropy);
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shifted_scores.push_back(shifted_score);
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shifted_scores[i] = fabsf(-logf(candidates->data[i].p) - entropy);
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}
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// Sort tokens based on the shifted_scores and their corresponding indices
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@@ -341,10 +340,10 @@ void llama_sample_typical_impl(struct llama_sampling * smpl, llama_token_data_ar
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}
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// Resize the output vector to keep only the locally typical tokens
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std::vector<llama_token_data> new_candidates;
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std::vector<llama_token_data> new_candidates(last_idx);
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for (size_t i = 0; i < last_idx; ++i) {
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size_t idx = indices[i];
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new_candidates.push_back(candidates->data[idx]);
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new_candidates[i] = candidates->data[idx];
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}
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// Replace the data in candidates with the new_candidates data
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