Georgi Gerganov
fd1234cb46
llama : add gpt-oss ( #15091 )
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* oai moe
* compat with new checkpoint
* add attn sink impl
* add rope scaling yarn
* logits match with latest transformers code
* wip chat template
* rm trailing space
* use ggml_scale_bias
* rm redundant is_swa_all
* convert interleaved gate_up
* graph : fix activation function to match reference (#7 )
* vocab : handle o200k_harmony special tokens
* ggml : add attention sinks support (#1 )
* llama : add attn sinks
* ggml : add attn sinks
* cuda : add attn sinks
* vulkan : add support for sinks in softmax
remove unnecessary return
* ggml : add fused swiglu_oai op (#11 )
* ggml : add fused swiglu_oai op
* Update ggml/src/ggml-cpu/ops.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
* update CUDA impl
* cont : metal impl
* add vulkan impl
* test-backend-ops : more test cases, clean up
* llama : remove unfused impl
* remove extra lines
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
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Co-authored-by: slaren <slarengh@gmail.com >
* repack mxfp4 upon conversion
* clean up a bit
* enable thinking
* add quick hack to render only some special tokens
* fix bf16 conversion
* remove vocab hack
* webui ok
* support chat parsing for gpt-oss
* fix webui
* direct mapping mxfp4, FINALLY
* force using mxfp4
* properly use lazy tensor
* ggml : add mxfp4
ggml : use e8m0 conversion instead of powf
Co-authored-by: Diego Devesa <slarengh@gmail.com >
change kvalues_mxfp4 table to match e2m1 (#6 )
metal : remove quantization for now (not used)
cuda : fix disabled CUDA graphs due to ffn moe bias
vulkan : add support for mxfp4
cont : add cm2 dequant
* ggml : add ggml_add_id (#13 )
* ggml : add ggml_add_id
* add cuda impl
* llama : add weight support check for add_id
* perf opt
* add vulkan impl
* rename cuda files
* add metal impl
* allow in-place ggml_add_id
* llama : keep biases on CPU with --cpu-moe
* llama : fix compile error
ggml-ci
* cuda : add fallback for __nv_cvt_e8m0_to_bf16raw
ggml-ci
* cleanup
ggml-ci
* sycl : fix supports_op for MXFP4
ggml-ci
* fix Unknown reasoning format
* ggml-cpu : fix AVX build
ggml-ci
* fix hip build
ggml-ci
* cuda : add mxfp4 dequantization support for cuBLAS
ggml-ci
* ggml-cpu : fix mxfp4 fallback definitions for some architectures
ggml-ci
* cuda : fix version required for __nv_cvt_e8m0_to_bf16raw
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Co-authored-by: Xuan Son Nguyen <son@huggingface.co >
Co-authored-by: slaren <slarengh@gmail.com >
2025-08-05 22:10:36 +03:00
Jeff Bolz
8875523eb3
vulkan: support softmax/FA batch and broadcast ( #14449 )
2025-07-02 15:48:33 +03:00
0cc4m
c3f9d25706
Vulkan: Fix float16 use on devices without float16 support + fix subgroup_size_control validation error ( #11161 )
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* Vulkan: Remove float16 use in shaders
* Fix validation error about subgroup_size_control extension
2025-01-10 06:39:33 +01:00
gn64
8dd19a4812
vulkan : fix soft_max.comp division by zero (whisper/2633)
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This change prevents a division by zero error when p.KY is 0.
2024-12-17 18:35:49 +02:00
Jeff Bolz
9abe9eeae9
vulkan: predicate max operation in soft_max shaders/soft_max ( #10437 )
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Fixes #10434
2024-11-20 20:47:36 +01:00
Jeff Bolz
b3e585988f
vulkan: Optimize soft_max ( #10301 )
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* vulkan: Optimize soft_max
Large soft_max could already saturate memory, but small/medium sizes were
pretty slow. The bulk of the gains for them comes from using a smaller
workgroup size, and making the workgroup size match the subgroup size also
makes the barriers much cheaper.
Cache some values in locals to avoid refetching/recomputing. And stamp
out a few "template instantiations" so smaller cases will fully unroll.
Add a missing early return for OOB rows. This happens when there are more
than 512 rows and the dispatch is 512 x H.
* vulkan: Further soft_max optimizations
Restore the workgroup size of 512 case, use it for >1024.
Use unrollable loops for more iteration counts.
2024-11-19 08:25:17 +01:00
Diego Devesa
ae8de6d50a
ggml : build backends as libraries ( #10256 )
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* ggml : build backends as libraries
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Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com >
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
Co-authored-by: R0CKSTAR <xiaodong.ye@mthreads.com >
2024-11-14 18:04:35 +01:00
