diff options
| author | Carolinabanana <140120812+Carolinabanana@users.noreply.github.com> | 2024-04-09 09:16:13 +0100 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2024-04-09 11:16:13 +0300 |
| commit | 5dc9dd7152dedc6046b646855585bd070c91e8c8 (patch) | |
| tree | d2bae3652d91cdd9327e28fa85d167a67e050c53 /ggml-cuda.cu | |
| parent | e11a8999b5690f810c2c99c14347f0834e68c524 (diff) | |
llama : add Command R Plus support (#6491)
* Add Command R Plus GGUF
* Add Command R Plus GGUF
* Loading works up to LayerNorm2D
* Export new tensors in 1D so they are not quantized.
* Fix embedding layer based on Noeda's example
* Whitespace
* Add line
* Fix unexpected tokens on MPS. Re-add F16 fix. ((Noeda)
* dranger003: Fix block index overflow in CUDA dequantizing.
* Reverted blocked multiplication code as it still has issues and could affect other Llama arches
* export norms as f32
* fix overflow issues during quant and other cleanup
* Type convention
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* dranger003: Fix more int overflow during quant.
---------
Co-authored-by: S <seast@Ss-Mac-Studio.local>
Co-authored-by: S <s@example.com>
Co-authored-by: slaren <slarengh@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Diffstat (limited to 'ggml-cuda.cu')
| -rw-r--r-- | ggml-cuda.cu | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/ggml-cuda.cu b/ggml-cuda.cu index ce28cb55..bff8ad9d 100644 --- a/ggml-cuda.cu +++ b/ggml-cuda.cu @@ -1225,7 +1225,7 @@ static void ggml_cuda_op_mul_mat_cublas( // the main device has a larger memory buffer to hold the results from all GPUs // ldc == nrows of the matrix that cuBLAS writes into - int ldc = id == ctx.device ? ne0 : row_diff; + int64_t ldc = id == ctx.device ? ne0 : row_diff; const int compute_capability = ggml_cuda_info().devices[id].cc; @@ -1377,8 +1377,8 @@ static void ggml_cuda_op_mul_mat( const int64_t ne0 = dst->ne[0]; const int64_t ne1 = dst->ne[1]; - const int nb2 = dst->nb[2]; - const int nb3 = dst->nb[3]; + const int64_t nb2 = dst->nb[2]; + const int64_t nb3 = dst->nb[3]; GGML_ASSERT(ggml_backend_buffer_is_cuda(dst->buffer)); GGML_ASSERT(ggml_backend_buffer_is_cuda(src1->buffer)); |