From 67367d2a5f5749e12646aa1750625207aedaaded Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Mon, 27 Jul 2026 18:56:06 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF Source: Original Platform --- .gitattributes | 49 +++++++ LGAI-EXAONE_EXAONE-4.0-1.2B-IQ2_M.gguf | 3 + LGAI-EXAONE_EXAONE-4.0-1.2B-IQ3_M.gguf | 3 + LGAI-EXAONE_EXAONE-4.0-1.2B-IQ3_XS.gguf | 3 + LGAI-EXAONE_EXAONE-4.0-1.2B-IQ3_XXS.gguf | 3 + LGAI-EXAONE_EXAONE-4.0-1.2B-IQ4_NL.gguf | 3 + LGAI-EXAONE_EXAONE-4.0-1.2B-IQ4_XS.gguf | 3 + LGAI-EXAONE_EXAONE-4.0-1.2B-Q2_K.gguf | 3 + LGAI-EXAONE_EXAONE-4.0-1.2B-Q2_K_L.gguf | 3 + LGAI-EXAONE_EXAONE-4.0-1.2B-Q3_K_L.gguf | 3 + LGAI-EXAONE_EXAONE-4.0-1.2B-Q3_K_M.gguf | 3 + LGAI-EXAONE_EXAONE-4.0-1.2B-Q3_K_S.gguf | 3 + LGAI-EXAONE_EXAONE-4.0-1.2B-Q3_K_XL.gguf | 3 + LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_0.gguf | 3 + LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_1.gguf | 3 + LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_K_L.gguf | 3 + LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_K_M.gguf | 3 + LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_K_S.gguf | 3 + LGAI-EXAONE_EXAONE-4.0-1.2B-Q5_K_L.gguf | 3 + LGAI-EXAONE_EXAONE-4.0-1.2B-Q5_K_M.gguf | 3 + LGAI-EXAONE_EXAONE-4.0-1.2B-Q5_K_S.gguf | 3 + LGAI-EXAONE_EXAONE-4.0-1.2B-Q6_K.gguf | 3 + LGAI-EXAONE_EXAONE-4.0-1.2B-Q6_K_L.gguf | 3 + LGAI-EXAONE_EXAONE-4.0-1.2B-Q8_0.gguf | 3 + LGAI-EXAONE_EXAONE-4.0-1.2B-bf16.gguf | 3 + LGAI-EXAONE_EXAONE-4.0-1.2B.imatrix | 3 + README.md | 175 +++++++++++++++++++++++ configuration.json | 1 + 28 files changed, 300 insertions(+) create mode 100644 .gitattributes create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B-IQ2_M.gguf create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B-IQ3_M.gguf create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B-IQ3_XS.gguf create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B-IQ3_XXS.gguf create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B-IQ4_NL.gguf create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B-IQ4_XS.gguf create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B-Q2_K.gguf create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B-Q2_K_L.gguf create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B-Q3_K_L.gguf create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B-Q3_K_M.gguf create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B-Q3_K_S.gguf create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B-Q3_K_XL.gguf create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_0.gguf create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_1.gguf create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_K_L.gguf create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_K_M.gguf create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_K_S.gguf create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B-Q5_K_L.gguf create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B-Q5_K_M.gguf create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B-Q5_K_S.gguf create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B-Q6_K.gguf create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B-Q6_K_L.gguf create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B-Q8_0.gguf create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B-bf16.gguf create mode 100644 LGAI-EXAONE_EXAONE-4.0-1.2B.imatrix create mode 100644 README.md create mode 100644 configuration.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..e667509 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,49 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bin.* filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zstandard filter=lfs diff=lfs merge=lfs -text +*.tfevents* filter=lfs diff=lfs merge=lfs -text +*.db* filter=lfs diff=lfs merge=lfs -text +*.ark* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.gguf* filter=lfs diff=lfs merge=lfs -text +*.ggml filter=lfs diff=lfs merge=lfs -text +*.llamafile* filter=lfs diff=lfs merge=lfs -text +*.pt2 filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text + +LGAI-EXAONE_EXAONE-4.0-1.2B.imatrix filter=lfs diff=lfs merge=lfs -text \ No newline at end of file diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B-IQ2_M.gguf b/LGAI-EXAONE_EXAONE-4.0-1.2B-IQ2_M.gguf new file mode 100644 index 0000000..d72880c --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B-IQ2_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:74f6bfd9f15d028da6f9406492dc02833655aa3338b3d7b6abf24396897e6159 +size 515625760 diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B-IQ3_M.gguf b/LGAI-EXAONE_EXAONE-4.0-1.2B-IQ3_M.gguf new file mode 100644 index 0000000..0d01f1f --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B-IQ3_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9a96ecb3a26c02aa502f370bedfad63c67aa0773f3b7045e58a90b3779b2fedb +size 660558624 diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B-IQ3_XS.gguf b/LGAI-EXAONE_EXAONE-4.0-1.2B-IQ3_XS.gguf new file mode 100644 index 0000000..fd6c960 --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B-IQ3_XS.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fa0a4ec237a20c365d8bffff14af5da6e691be24cdec95281ca64ccd5cbaf9c5 +size 615043872 diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B-IQ3_XXS.gguf b/LGAI-EXAONE_EXAONE-4.0-1.2B-IQ3_XXS.gguf new file mode 100644 index 0000000..b5998fa --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B-IQ3_XXS.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8ea4b9902274b0c82f86c1aed29f42fd2a9cec906b1bfe3979feb093c667fed7 +size 560059168 diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B-IQ4_NL.gguf b/LGAI-EXAONE_EXAONE-4.0-1.2B-IQ4_NL.gguf new file mode 100644 index 0000000..0a55621 --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B-IQ4_NL.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1a459af1f089b72a16751d5a8b28f2ea05087bcad2df3154cc139d409f05a48d +size 782308128 diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B-IQ4_XS.gguf b/LGAI-EXAONE_EXAONE-4.0-1.2B-IQ4_XS.gguf new file mode 100644 index 0000000..1622175 --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B-IQ4_XS.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b83bfcee00cdc6937ef9bb8123429e1d3229e507fb3cf934e32777f6f0f62297 +size 749867808 diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B-Q2_K.gguf b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q2_K.gguf new file mode 100644 index 0000000..1672d1f --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q2_K.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5f954d42df519a9205283958f4ba7e870c185fa3545ea5e93a5966de5e1e4de5 +size 573412128 diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B-Q2_K_L.gguf b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q2_K_L.gguf new file mode 100644 index 0000000..4341aba --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q2_K_L.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4e48eda140d178bc60709b128f5ffaecabf133423fdd9d73528afdfd102d10d6 +size 624202528 diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B-Q3_K_L.gguf b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q3_K_L.gguf new file mode 100644 index 0000000..2c200b6 --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q3_K_L.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1d60c0840b6a52281a67a581dc998b18d64f0206aed1f1d6d7922562c4232de9 +size 741757728 diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B-Q3_K_M.gguf b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q3_K_M.gguf new file mode 100644 index 0000000..d344bb5 --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q3_K_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f13e843ba002d1aa0f1488b3251bc2def3a60f81deda923bbb7e8d368e9b8c26 +size 691950368 diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B-Q3_K_S.gguf b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q3_K_S.gguf new file mode 100644 index 0000000..0ac5a1b --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q3_K_S.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0053eedf928770faac3c3f1521b6c67977aa7f54ccaa8ebbde50670f3b8d7cec +size 636326688 diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B-Q3_K_XL.gguf b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q3_K_XL.gguf new file mode 100644 index 0000000..de800a6 --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q3_K_XL.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7720a3521af22aaf36e23f2492a3f6ac4bac7582aea9e77b6563d2ffbc6dfc5c +size 792548128 diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_0.gguf b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_0.gguf new file mode 100644 index 0000000..6775859 --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_0.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b7d2de07e27b666b06bbdd2edf7d00db7747969bfae16a0a90a8cd5ef16426c8 +size 779948832 diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_1.gguf b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_1.gguf new file mode 100644 index 0000000..7917f5f --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_1.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4a5f2c170807b553b04f72036116753b885a84d15162525d023df62268db4f41 +size 845222688 diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_K_L.gguf b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_K_L.gguf new file mode 100644 index 0000000..b887892 --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_K_L.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:47ea82daab19e60176d9ce783be6614adcc823923f11959d2fca12d06a5596eb +size 863228704 diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_K_M.gguf b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_K_M.gguf new file mode 100644 index 0000000..bb746cb --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_K_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4b3fe462894e52ac923540e208840cf949a3b4f50d41e2d5dde7916f386dfeba +size 812438304 diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_K_S.gguf b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_K_S.gguf new file mode 100644 index 0000000..c32fd44 --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_K_S.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:09fcc98df95ddaeb36a4b679f216d23e90485c3d319d5969768d6d4cd46a8f14 +size 782045984 diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B-Q5_K_L.gguf b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q5_K_L.gguf new file mode 100644 index 0000000..091e5ab --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q5_K_L.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8c0e25b2cef8bb526a21cf2fd5648413e8aa517e053fe90f57abe98d558060b7 +size 980407072 diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B-Q5_K_M.gguf b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q5_K_M.gguf new file mode 100644 index 0000000..3e5902d --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q5_K_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:811db92193714df6caf6325d4ddb67016f166d6e16bc8c747dd4fe532aec8a16 +size 929616672 diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B-Q5_K_S.gguf b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q5_K_S.gguf new file mode 100644 index 0000000..11869da --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q5_K_S.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3126e722eb785e1a8983edcbda62df649a4984abff97e06f9646aadc3c3df480 +size 912069408 diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B-Q6_K.gguf b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q6_K.gguf new file mode 100644 index 0000000..a6b6a96 --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q6_K.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7c2ab092b617cd51977537177854be25af8248d61a0030a94e00034ab38c2920 +size 1054118688 diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B-Q6_K_L.gguf b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q6_K_L.gguf new file mode 100644 index 0000000..aeb1725 --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q6_K_L.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5568cef2b46422615cb09ee75d534c3ea4ae10607c1ba08e7d9ae8ba5681a11d +size 1104909088 diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B-Q8_0.gguf b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q8_0.gguf new file mode 100644 index 0000000..7de4abe --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B-Q8_0.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7959864702ef5a4476b5dc19186815af10ac9126142dcb92daaac8c0762459f4 +size 1363940128 diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B-bf16.gguf b/LGAI-EXAONE_EXAONE-4.0-1.2B-bf16.gguf new file mode 100644 index 0000000..660a52a --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B-bf16.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7f52b33d5568b2274161b76dba4d3db90aebc5ca67b89cb451fb30171b75feb2 +size 2563248672 diff --git a/LGAI-EXAONE_EXAONE-4.0-1.2B.imatrix b/LGAI-EXAONE_EXAONE-4.0-1.2B.imatrix new file mode 100644 index 0000000..7827f33 --- /dev/null +++ b/LGAI-EXAONE_EXAONE-4.0-1.2B.imatrix @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a333f8af22636837854f71b1480a128f402daa886bf9a59d6fc11a114bd7dbfb +size 1973048 diff --git a/README.md b/README.md new file mode 100644 index 0000000..a6a8c2a --- /dev/null +++ b/README.md @@ -0,0 +1,175 @@ +--- +quantized_by: bartowski +pipeline_tag: text-generation +base_model: LGAI-EXAONE/EXAONE-4.0-1.2B +base_model_relation: quantized +--- + +## Llamacpp imatrix Quantizations of EXAONE-4.0-1.2B by LGAI-EXAONE + +Using llama.cpp release b5934 for quantization. + +Original model: https://huggingface.co/LGAI-EXAONE/EXAONE-4.0-1.2B + +All quants made using imatrix option with dataset from [here](https://gist.github.com/bartowski1182/eb213dccb3571f863da82e99418f81e8) + +Run them in [LM Studio](https://lmstudio.ai/) + +Run them directly with [llama.cpp](https://github.com/ggerganov/llama.cpp), or any other llama.cpp based project + +## Prompt format + +No chat template specified so default is used. This may be incorrect, check original model card for details. + +``` +[|system|] +{system_prompt}[|endofturn|] +[|user|] +{prompt}[|endofturn|] +[|assistant|] + + + +``` + +## Download a file (not the whole branch) from below: + +| Filename | Quant type | File Size | Split | Description | +| -------- | ---------- | --------- | ----- | ----------- | +| [EXAONE-4.0-1.2B-bf16.gguf](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF/blob/main/LGAI-EXAONE_EXAONE-4.0-1.2B-bf16.gguf) | bf16 | 2.56GB | false | Full BF16 weights. | +| [EXAONE-4.0-1.2B-Q8_0.gguf](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF/blob/main/LGAI-EXAONE_EXAONE-4.0-1.2B-Q8_0.gguf) | Q8_0 | 1.36GB | false | Extremely high quality, generally unneeded but max available quant. | +| [EXAONE-4.0-1.2B-Q6_K_L.gguf](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF/blob/main/LGAI-EXAONE_EXAONE-4.0-1.2B-Q6_K_L.gguf) | Q6_K_L | 1.10GB | false | Uses Q8_0 for embed and output weights. Very high quality, near perfect, *recommended*. | +| [EXAONE-4.0-1.2B-Q6_K.gguf](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF/blob/main/LGAI-EXAONE_EXAONE-4.0-1.2B-Q6_K.gguf) | Q6_K | 1.05GB | false | Very high quality, near perfect, *recommended*. | +| [EXAONE-4.0-1.2B-Q5_K_L.gguf](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF/blob/main/LGAI-EXAONE_EXAONE-4.0-1.2B-Q5_K_L.gguf) | Q5_K_L | 0.98GB | false | Uses Q8_0 for embed and output weights. High quality, *recommended*. | +| [EXAONE-4.0-1.2B-Q5_K_M.gguf](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF/blob/main/LGAI-EXAONE_EXAONE-4.0-1.2B-Q5_K_M.gguf) | Q5_K_M | 0.93GB | false | High quality, *recommended*. | +| [EXAONE-4.0-1.2B-Q5_K_S.gguf](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF/blob/main/LGAI-EXAONE_EXAONE-4.0-1.2B-Q5_K_S.gguf) | Q5_K_S | 0.91GB | false | High quality, *recommended*. | +| [EXAONE-4.0-1.2B-Q4_K_L.gguf](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF/blob/main/LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_K_L.gguf) | Q4_K_L | 0.86GB | false | Uses Q8_0 for embed and output weights. Good quality, *recommended*. | +| [EXAONE-4.0-1.2B-Q4_1.gguf](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF/blob/main/LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_1.gguf) | Q4_1 | 0.85GB | false | Legacy format, similar performance to Q4_K_S but with improved tokens/watt on Apple silicon. | +| [EXAONE-4.0-1.2B-Q4_K_M.gguf](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF/blob/main/LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_K_M.gguf) | Q4_K_M | 0.81GB | false | Good quality, default size for most use cases, *recommended*. | +| [EXAONE-4.0-1.2B-Q3_K_XL.gguf](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF/blob/main/LGAI-EXAONE_EXAONE-4.0-1.2B-Q3_K_XL.gguf) | Q3_K_XL | 0.79GB | false | Uses Q8_0 for embed and output weights. Lower quality but usable, good for low RAM availability. | +| [EXAONE-4.0-1.2B-Q4_K_S.gguf](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF/blob/main/LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_K_S.gguf) | Q4_K_S | 0.78GB | false | Slightly lower quality with more space savings, *recommended*. | +| [EXAONE-4.0-1.2B-Q4_0.gguf](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF/blob/main/LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_0.gguf) | Q4_0 | 0.78GB | false | Legacy format, offers online repacking for ARM and AVX CPU inference. | +| [EXAONE-4.0-1.2B-IQ4_NL.gguf](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF/blob/main/LGAI-EXAONE_EXAONE-4.0-1.2B-IQ4_NL.gguf) | IQ4_NL | 0.78GB | false | Similar to IQ4_XS, but slightly larger. Offers online repacking for ARM CPU inference. | +| [EXAONE-4.0-1.2B-IQ4_XS.gguf](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF/blob/main/LGAI-EXAONE_EXAONE-4.0-1.2B-IQ4_XS.gguf) | IQ4_XS | 0.75GB | false | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. | +| [EXAONE-4.0-1.2B-Q3_K_L.gguf](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF/blob/main/LGAI-EXAONE_EXAONE-4.0-1.2B-Q3_K_L.gguf) | Q3_K_L | 0.74GB | false | Lower quality but usable, good for low RAM availability. | +| [EXAONE-4.0-1.2B-Q3_K_M.gguf](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF/blob/main/LGAI-EXAONE_EXAONE-4.0-1.2B-Q3_K_M.gguf) | Q3_K_M | 0.69GB | false | Low quality. | +| [EXAONE-4.0-1.2B-IQ3_M.gguf](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF/blob/main/LGAI-EXAONE_EXAONE-4.0-1.2B-IQ3_M.gguf) | IQ3_M | 0.66GB | false | Medium-low quality, new method with decent performance comparable to Q3_K_M. | +| [EXAONE-4.0-1.2B-Q3_K_S.gguf](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF/blob/main/LGAI-EXAONE_EXAONE-4.0-1.2B-Q3_K_S.gguf) | Q3_K_S | 0.64GB | false | Low quality, not recommended. | +| [EXAONE-4.0-1.2B-IQ3_XS.gguf](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF/blob/main/LGAI-EXAONE_EXAONE-4.0-1.2B-IQ3_XS.gguf) | IQ3_XS | 0.62GB | false | Lower quality, new method with decent performance, slightly better than Q3_K_S. | +| [EXAONE-4.0-1.2B-Q2_K_L.gguf](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF/blob/main/LGAI-EXAONE_EXAONE-4.0-1.2B-Q2_K_L.gguf) | Q2_K_L | 0.62GB | false | Uses Q8_0 for embed and output weights. Very low quality but surprisingly usable. | +| [EXAONE-4.0-1.2B-Q2_K.gguf](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF/blob/main/LGAI-EXAONE_EXAONE-4.0-1.2B-Q2_K.gguf) | Q2_K | 0.57GB | false | Very low quality but surprisingly usable. | +| [EXAONE-4.0-1.2B-IQ3_XXS.gguf](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF/blob/main/LGAI-EXAONE_EXAONE-4.0-1.2B-IQ3_XXS.gguf) | IQ3_XXS | 0.56GB | false | Lower quality, new method with decent performance, comparable to Q3 quants. | +| [EXAONE-4.0-1.2B-IQ2_M.gguf](https://huggingface.co/bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF/blob/main/LGAI-EXAONE_EXAONE-4.0-1.2B-IQ2_M.gguf) | IQ2_M | 0.52GB | false | Relatively low quality, uses SOTA techniques to be surprisingly usable. | + +## Embed/output weights + +Some of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to. + +## Downloading using huggingface-cli + +
+ Click to view download instructions + +First, make sure you have hugginface-cli installed: + +``` +pip install -U "huggingface_hub[cli]" +``` + +Then, you can target the specific file you want: + +``` +huggingface-cli download bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF --include "LGAI-EXAONE_EXAONE-4.0-1.2B-Q4_K_M.gguf" --local-dir ./ +``` + +If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run: + +``` +huggingface-cli download bartowski/LGAI-EXAONE_EXAONE-4.0-1.2B-GGUF --include "LGAI-EXAONE_EXAONE-4.0-1.2B-Q8_0/*" --local-dir ./ +``` + +You can either specify a new local-dir (LGAI-EXAONE_EXAONE-4.0-1.2B-Q8_0) or download them all in place (./) + +
+ +## ARM/AVX information + +Previously, you would download Q4_0_4_4/4_8/8_8, and these would have their weights interleaved in memory in order to improve performance on ARM and AVX machines by loading up more data in one pass. + +Now, however, there is something called "online repacking" for weights. details in [this PR](https://github.com/ggerganov/llama.cpp/pull/9921). If you use Q4_0 and your hardware would benefit from repacking weights, it will do it automatically on the fly. + +As of llama.cpp build [b4282](https://github.com/ggerganov/llama.cpp/releases/tag/b4282) you will not be able to run the Q4_0_X_X files and will instead need to use Q4_0. + +Additionally, if you want to get slightly better quality for , you can use IQ4_NL thanks to [this PR](https://github.com/ggerganov/llama.cpp/pull/10541) which will also repack the weights for ARM, though only the 4_4 for now. The loading time may be slower but it will result in an overall speed incrase. + +
+ Click to view Q4_0_X_X information (deprecated + +I'm keeping this section to show the potential theoretical uplift in performance from using the Q4_0 with online repacking. + +
+ Click to view benchmarks on an AVX2 system (EPYC7702) + +| model | size | params | backend | threads | test | t/s | % (vs Q4_0) | +| ------------------------------ | ---------: | ---------: | ---------- | ------: | ------------: | -------------------: |-------------: | +| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | pp512 | 204.03 ± 1.03 | 100% | +| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | pp1024 | 282.92 ± 0.19 | 100% | +| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | pp2048 | 259.49 ± 0.44 | 100% | +| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | tg128 | 39.12 ± 0.27 | 100% | +| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | tg256 | 39.31 ± 0.69 | 100% | +| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | tg512 | 40.52 ± 0.03 | 100% | +| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | pp512 | 301.02 ± 1.74 | 147% | +| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | pp1024 | 287.23 ± 0.20 | 101% | +| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | pp2048 | 262.77 ± 1.81 | 101% | +| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | tg128 | 18.80 ± 0.99 | 48% | +| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | tg256 | 24.46 ± 3.04 | 83% | +| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | tg512 | 36.32 ± 3.59 | 90% | +| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | pp512 | 271.71 ± 3.53 | 133% | +| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | pp1024 | 279.86 ± 45.63 | 100% | +| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | pp2048 | 320.77 ± 5.00 | 124% | +| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | tg128 | 43.51 ± 0.05 | 111% | +| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | tg256 | 43.35 ± 0.09 | 110% | +| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | tg512 | 42.60 ± 0.31 | 105% | + +Q4_0_8_8 offers a nice bump to prompt processing and a small bump to text generation + +
+ +
+ +## Which file should I choose? + +
+ Click here for details + +A great write up with charts showing various performances is provided by Artefact2 [here](https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9) + +The first thing to figure out is how big a model you can run. To do this, you'll need to figure out how much RAM and/or VRAM you have. + +If you want your model running as FAST as possible, you'll want to fit the whole thing on your GPU's VRAM. Aim for a quant with a file size 1-2GB smaller than your GPU's total VRAM. + +If you want the absolute maximum quality, add both your system RAM and your GPU's VRAM together, then similarly grab a quant with a file size 1-2GB Smaller than that total. + +Next, you'll need to decide if you want to use an 'I-quant' or a 'K-quant'. + +If you don't want to think too much, grab one of the K-quants. These are in format 'QX_K_X', like Q5_K_M. + +If you want to get more into the weeds, you can check out this extremely useful feature chart: + +[llama.cpp feature matrix](https://github.com/ggerganov/llama.cpp/wiki/Feature-matrix) + +But basically, if you're aiming for below Q4, and you're running cuBLAS (Nvidia) or rocBLAS (AMD), you should look towards the I-quants. These are in format IQX_X, like IQ3_M. These are newer and offer better performance for their size. + +These I-quants can also be used on CPU, but will be slower than their K-quant equivalent, so speed vs performance is a tradeoff you'll have to decide. + +
+ +## Credits + +Thank you kalomaze and Dampf for assistance in creating the imatrix calibration dataset. + +Thank you ZeroWw for the inspiration to experiment with embed/output. + +Thank you to LM Studio for sponsoring my work. + +Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski diff --git a/configuration.json b/configuration.json new file mode 100644 index 0000000..bbeeda1 --- /dev/null +++ b/configuration.json @@ -0,0 +1 @@ +{"framework": "pytorch", "task": "text-generation", "allow_remote": true} \ No newline at end of file