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model : Qwen3 Next (llama/16095) 

* Qwen3 Next - cleaned up version

* Whitespaces and stuff

* Correct minor errors

* Update src/llama-model.cpp

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

* Misc. fixes.

* Clean up code, add missing hybrid qualifier

* Did someone transpose the SOLVE_TRI result matrix? Perhaps...

* Whitespace

* Proper tensors for cb calls

* Use llama-graph.h vertical alignment

* BROKEN: chunking

* Set new tensors as inputs.

* Proper chunk logic

* It's the circle of life...

* More shenanigans for n_seq > 1

* Nail in the coffin?

* Fix Windows build

* Eh, one fails on Windows, the other fails on Mac... just use general capture.

* quant : cleanup

* model : cleanup

* qwen3 : cleanup

* cont : cleanup

* cont : cleanup

* ggml : revert change

* qwen3 : cleanup

* cont : cleanup

* Readd cmath

* qwen3 : fix typo

* Update convert_hf_to_gguf.py

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

* Usual suspects

* fix my bad suggestion

---------

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
This commit is contained in:
Piotr Wilkin (ilintar) 2025-11-28 12:02:56 +01:00 committed by Georgi Gerganov
parent 37e4c2ed3a
commit 43441ff58a
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ggml/src/ggml-cpu/ops.cpp
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@ -9766,7 +9766,8 @@ static void ggml_compute_forward_solve_tri_f32(const struct ggml_compute_params
}
const float diag = A_batch[i00 * n + i00];
GGML_ASSERT(diag != 0.0f && "Zero diagonal in triangular matrix");
assert(diag != 0.0f && "Zero diagonal in triangular matrix");
X_batch[i00 * k + i01] = (B_batch[i00 * k + i01] - sum) / diag;
}
}