 wozeparrotandGitHub
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92d92c70a9
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gptoss: faster grad handling (#17795)
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2026-08-27 22:06:33 -07:00 |
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wozeparrotandGitHub
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c89ae6c083
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gptoss: save more (#17613)
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2026-08-19 14:57:18 -07:00 |
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wozeparrotandGitHub
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72280bb218
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gptoss: zero-2 optim (#17581)
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2026-08-18 14:28:57 -07:00 |
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wozeparrotandGitHub
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849074f0db
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gptoss: use fa swa (#17522)
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2026-08-13 10:39:22 -07:00 |
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wozeparrotandGitHub
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f891f5ffd0
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gptoss: route lm_head thru asm_gemm (#17497)
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2026-08-11 18:32:50 -07:00 |
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qazalandGitHub
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44f1f45cd5
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llama: custom silu kernels (#17462)
* start by copying the C
* uop kernel
* cleanup tests
* estimates is part of SPEC
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2026-08-10 16:43:01 +09:00 |
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qazalandGitHub
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be5f62d269
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llama: refactor amax stuff and skip in fp4 (#17375)
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2026-08-03 20:05:52 +09:00 |
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wozeparrotandGitHub
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4f5cadd15d
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gptoss ci (#17325)
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2026-07-31 05:51:58 -07:00 |
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wozeparrotandGitHub
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93b74c75fc
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gptoss: grouped moe (#17322)
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2026-07-31 03:25:32 -07:00 |
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qazalandGitHub
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f7964acb64
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llama with MXFP4 (#17321)
* mxfp4 in llama
* less
* name
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2026-07-31 18:25:25 +09:00 |
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wozeparrotandGitHub
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b5a2a5666a
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gptoss moe routing (#17284)
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2026-07-30 07:49:14 -07:00 |
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wozeparrotandGitHub
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2e7db75668
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gptoss: faster swa (#17150)
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2026-07-23 06:56:27 -07:00 |
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wozeparrotandGitHub
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5f2eaeee40
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gptoss: rope freqs in fp32 (#17132)
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2026-07-22 06:11:06 -07:00 |
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qazalandGitHub
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1cf8f2f68c
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llama: inplace amax update (#17064)
* llama: inplace amax update
* remove amax_out return
* work
* fit
* work
* work
* keep
* diff cleanup
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2026-07-20 15:05:41 +09:00 |
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wozeparrotandGitHub
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a836c3822a
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gptoss: 3d mx block scale (#17062)
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2026-07-16 23:30:24 -07:00 |
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qazalandGitHub
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939f28d571
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fused qkv rope custom kernel (#17021)
* work
* fused qkv_norm
* work
* speed
* not that yet
* test cleanup
* just clone
* remove .realize()
* cleanup tests
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2026-07-15 01:08:42 +09:00 |
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qazalandGitHub
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cae6696d75
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llama: split current and next amax state (#16993)
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2026-07-12 18:52:33 +09:00 |
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wozeparrotandGitHub
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a330bfffc9
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gptoss: remove contiguous (#16882)
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2026-07-05 17:48:32 -07:00 |
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wozeparrotandGitHub
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35522af0df
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gptoss: use quantize_mxfp8 (#16881)
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2026-07-05 17:48:24 -07:00 |
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wozeparrotandGitHub
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42be177ea8
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gpt-oss-20b: model (#16837)
* feat: gpt-oss model file
* clean: don't need that function
* feat: working model
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2026-07-03 01:29:56 -07:00 |
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wozeparrotandGitHub
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dfea9e7994
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llama: fused silu mul quantize mxfp8 (#16704)
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2026-06-23 16:59:50 -07:00 |
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wozeparrotandGitHub
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fe9b19b12d
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llama: more mp mem fixes (#16701)
* llama: more mp mem fixes
* clean: unused
* fix: batch
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2026-06-22 10:54:35 -04:00 |
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wozeparrotandGitHub
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70cac72781
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llama: realize weight init (#16623)
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2026-06-15 23:00:19 -07:00 |
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qazalandGitHub
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f998b9930a
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fp8 gemm inv_scale in epilogue (#16625)
* fuse scale
* remove python inv_scale
* more inv_scale removal
* more cleanups
* cleaner
* diff polish
* work
* rename
* simpler
* simpler
* compute
* c
* Revert "c"
This reverts commit 8941fec7ca.
* Revert "compute"
This reverts commit 9db573a6d3.
* Revert "simpler"
This reverts commit 910ad33f87.
* Revert "simpler"
This reverts commit bf75d235a1.
* s_g
* update types
* less diff noise
* remove
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2026-06-15 18:44:41 +09:00 |
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qazalandGitHub
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4d34590b7d
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llama: less E kernels (#16517)
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2026-06-12 19:49:25 +09:00 |
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wozeparrotandGitHub
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e770805d21
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llama: mxfp8 (#16574)
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2026-06-11 22:15:24 -07:00 |
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wozeparrotandGitHub
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7dcfd144b6
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llama: columnwise fp8 scaling (#16480)
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2026-06-02 18:55:45 -07:00 |
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wozeparrotandGitHub
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c23652e486
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llama: minimize peak init mem (#16440)
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2026-05-29 18:00:37 -07:00 |
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wozeparrotandGitHub
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36c8ff70c1
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llama: use old scale for dequant in optim (#16417)
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2026-05-28 15:21:19 -07:00 |
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George HotzandGitHub
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edca5df25a
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flip offset and shape in pad and shrink (#16414)
* flip offset and shape in pad and shrink
* dumb test
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2026-05-28 11:58:19 -07:00 |
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George HotzandGitHub
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8ee3a37524
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shrink/pad use (new_shape, offset) (#16405)
* shrink uses offset and shape
* pad does too
* fix
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2026-05-27 15:13:08 -07:00 |
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chenyuandGitHub
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31424cda71
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Tensor.requires_grad -> is_param (#16325)
for optimizer
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2026-05-21 19:39:57 -04:00 |
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wozeparrotandGitHub
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fb718a5e9d
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llama: realize amax (#16308)
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2026-05-21 14:00:48 -07:00 |
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wozeparrotandGitHub
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afc5bfa183
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llama: remove fused grad accum (#16301)
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2026-05-21 09:38:40 -07:00 |
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 sirhcmandGitHub
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172f9493e1
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move is_dtype_supported to renderer (#16226)
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2026-05-20 21:19:37 -04:00 |
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wozeparrotandGitHub
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825f30bf18
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llama: apply_grad saves memory (#16275)
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2026-05-20 13:14:06 -07:00 |
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wozeparrotandGitHub
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361553c0a8
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llama: match flat_llama with model_train (#16269)
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2026-05-19 17:25:56 -07:00 |
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wozeparrotandGitHub
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a3d59faef6
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llama: don't save weight (#16252)
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2026-05-18 17:05:45 -07:00 |
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wozeparrotandGitHub
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159694347e
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llama: fix running flat_llama (#16224)
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2026-05-15 20:16:48 -07:00 |
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chenyuandGitHub
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07a172dbbb
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remove noop requires_grad_ calls (#16213)
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2026-05-15 13:31:10 -04:00 |
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chenyuandGitHub
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409bb0c9ad
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requires_grad cannot be None (#16212)
final goal is to remove requires_grad, first change the default to True, and don't allow None
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2026-05-15 02:01:04 -04:00 |
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wozeparrotandGitHub
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b4d267dfd4
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llama: only save when small (#16208)
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2026-05-14 17:46:29 -07:00 |
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wozeparrotandGitHub
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88ac2ac1fd
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llama: cleanups (#16189)
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2026-05-13 17:08:06 -07:00 |
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wozeparrotandGitHub
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e9359d9e7d
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more llama mp fixes (#16151)
* llama: SPLIT_W13
* llama: fix with no fused kernels
* llama: cast to bf16 on non asm_gemm patH
* llama: new mp flags
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2026-05-11 21:29:23 -07:00 |
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wozeparrotandGitHub
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730fa66bf3
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llama speed 6 (#16071)
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2026-05-06 20:51:03 -07:00 |
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wozeparrotandGitHub
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528d35e306
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llama speed 4 (#15993)
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2026-04-30 17:14:41 -07:00 |
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wozeparrotandGitHub
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ef09071073
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llama: speed 2 (#15960)
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2026-04-28 20:44:37 -07:00 |
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wozeparrotandGitHub
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5e861cd2c4
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llama: move llama kernels to llama_kernels (#15952)
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2026-04-27 22:48:53 -07:00 |
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wozeparrotandGitHub
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d3cbd781d9
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llama: use fused norm mul quantize for w13 (#15878)
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2026-04-22 21:27:41 -07:00 |
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wozeparrotandGitHub
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87378331e8
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llama: fused mul quantize fp8 (#15863)
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2026-04-21 20:58:37 -07:00 |
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