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llama.cpp
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Show skipped IQ tensors

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Ed Addario 2025-08-22 09:15:11 +01:00
parent 01c927fb94
commit 897decbe8a
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1 changed files with 1 additions and 4 deletions
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src/llama-quant.cpp
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@ -1019,7 +1019,6 @@ static std::unordered_map<std::string, ggml_type> target_bpw_type(
std::vector<float> values_sample;
std::vector<float> activations_sample;
if (values_all) {
// get size from the map (not just the raw pointer)
auto itv = values_data->find(remap_imatrix(name, mapped));
const size_t sz = itv == values_data->end() ? 0 : itv->second.size();
copy_or_broadcast(values_all, sz, values_sample);
@ -1053,7 +1052,7 @@ static std::unordered_map<std::string, ggml_type> target_bpw_type(
compatible_candidates.reserve(quant_candidates.size());
for (ggml_type ts_type : quant_candidates) {
if (is_iq(ts_type) && !has_valid_imatrix) {
LLAMA_LOG_WARN("%s: skipping IQ quantization for %s, no or mismatched imatrix provided\n", __func__, name.c_str());
LLAMA_LOG_WARN("%s: skipping %s quantization for %s, no or mismatched imatrix provided\n", __func__, ggml_type_name(ts_type) , name.c_str());
continue;
}
ggml_type tt = make_compatible(t, ts_type);
@ -1214,13 +1213,11 @@ static std::unordered_map<std::string, ggml_type> target_bpw_type(
const auto & cur = ti.candidate[ti.choice];
const auto & nxt = ti.candidate[j];
const size_t delta_bytes = nxt.bytes - cur.bytes;
if (delta_bytes == 0) { continue; }
double err = cur.error - nxt.error;
err = std::max(err, 0.0);
double ratio = err / (double)(delta_bytes * 8ull);
if (ratio > best.ratio + eps || (std::abs(ratio - best.ratio) <= eps && delta_bytes < best.delta_bytes)) {
best = upgrade{ i, j, err, delta_bytes, ratio };