From f4f176f84389706edcfd4b064735aaf82a40bf8e Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Mon, 22 Jun 2026 01:45:12 +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/AvelonLabs_OpenClaude-1.7B-Merged-GGUF Source: Original Platform --- .gitattributes | 86 ++++++++ AvelonLabs_OpenClaude-1.7B-Merged-IQ2_M.gguf | 3 + AvelonLabs_OpenClaude-1.7B-Merged-IQ3_M.gguf | 3 + AvelonLabs_OpenClaude-1.7B-Merged-IQ3_XS.gguf | 3 + ...onLabs_OpenClaude-1.7B-Merged-IQ3_XXS.gguf | 3 + AvelonLabs_OpenClaude-1.7B-Merged-IQ4_NL.gguf | 3 + AvelonLabs_OpenClaude-1.7B-Merged-IQ4_XS.gguf | 3 + AvelonLabs_OpenClaude-1.7B-Merged-Q2_K.gguf | 3 + AvelonLabs_OpenClaude-1.7B-Merged-Q2_K_L.gguf | 3 + AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_L.gguf | 3 + AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_M.gguf | 3 + AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_S.gguf | 3 + ...onLabs_OpenClaude-1.7B-Merged-Q3_K_XL.gguf | 3 + AvelonLabs_OpenClaude-1.7B-Merged-Q4_0.gguf | 3 + AvelonLabs_OpenClaude-1.7B-Merged-Q4_1.gguf | 3 + AvelonLabs_OpenClaude-1.7B-Merged-Q4_K_L.gguf | 3 + AvelonLabs_OpenClaude-1.7B-Merged-Q4_K_M.gguf | 3 + AvelonLabs_OpenClaude-1.7B-Merged-Q4_K_S.gguf | 3 + AvelonLabs_OpenClaude-1.7B-Merged-Q5_K_L.gguf | 3 + AvelonLabs_OpenClaude-1.7B-Merged-Q5_K_M.gguf | 3 + AvelonLabs_OpenClaude-1.7B-Merged-Q5_K_S.gguf | 3 + AvelonLabs_OpenClaude-1.7B-Merged-Q6_K.gguf | 3 + AvelonLabs_OpenClaude-1.7B-Merged-Q6_K_L.gguf | 3 + AvelonLabs_OpenClaude-1.7B-Merged-Q8_0.gguf | 3 + AvelonLabs_OpenClaude-1.7B-Merged-bf16.gguf | 3 + ...onLabs_OpenClaude-1.7B-Merged-imatrix.gguf | 3 + README.md | 184 ++++++++++++++++++ configuration.json | 1 + 28 files changed, 346 insertions(+) create mode 100644 .gitattributes create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-IQ2_M.gguf create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-IQ3_M.gguf create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-IQ3_XS.gguf create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-IQ3_XXS.gguf create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-IQ4_NL.gguf create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-IQ4_XS.gguf create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-Q2_K.gguf create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-Q2_K_L.gguf create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_L.gguf create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_M.gguf create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_S.gguf create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_XL.gguf create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-Q4_0.gguf create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-Q4_1.gguf create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-Q4_K_L.gguf create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-Q4_K_M.gguf create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-Q4_K_S.gguf create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-Q5_K_L.gguf create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-Q5_K_M.gguf create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-Q5_K_S.gguf create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-Q6_K.gguf create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-Q6_K_L.gguf create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-Q8_0.gguf create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-bf16.gguf create mode 100644 AvelonLabs_OpenClaude-1.7B-Merged-imatrix.gguf create mode 100644 README.md create mode 100644 configuration.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..2bc8807 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,86 @@ +*.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 + +*.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 + +AvelonLabs_OpenClaude-1.7B-Merged-IQ2_M.gguf filter=lfs diff=lfs merge=lfs -text + +AvelonLabs_OpenClaude-1.7B-Merged-IQ3_M.gguf filter=lfs diff=lfs merge=lfs -text +AvelonLabs_OpenClaude-1.7B-Merged-IQ3_XS.gguf filter=lfs diff=lfs merge=lfs -text + +AvelonLabs_OpenClaude-1.7B-Merged-IQ4_NL.gguf filter=lfs diff=lfs merge=lfs -text +AvelonLabs_OpenClaude-1.7B-Merged-IQ3_XXS.gguf filter=lfs diff=lfs merge=lfs -text + +AvelonLabs_OpenClaude-1.7B-Merged-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text +AvelonLabs_OpenClaude-1.7B-Merged-IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text + +AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text +AvelonLabs_OpenClaude-1.7B-Merged-Q2_K_L.gguf filter=lfs diff=lfs merge=lfs -text + +AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text +AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text + +AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_XL.gguf filter=lfs diff=lfs merge=lfs -text +AvelonLabs_OpenClaude-1.7B-Merged-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text + +AvelonLabs_OpenClaude-1.7B-Merged-Q4_1.gguf filter=lfs diff=lfs merge=lfs -text +AvelonLabs_OpenClaude-1.7B-Merged-Q4_K_L.gguf filter=lfs diff=lfs merge=lfs -text + +AvelonLabs_OpenClaude-1.7B-Merged-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text +AvelonLabs_OpenClaude-1.7B-Merged-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text + +AvelonLabs_OpenClaude-1.7B-Merged-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text +AvelonLabs_OpenClaude-1.7B-Merged-Q5_K_L.gguf filter=lfs diff=lfs merge=lfs -text + +AvelonLabs_OpenClaude-1.7B-Merged-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text + +AvelonLabs_OpenClaude-1.7B-Merged-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text +AvelonLabs_OpenClaude-1.7B-Merged-Q6_K_L.gguf filter=lfs diff=lfs merge=lfs -text + +AvelonLabs_OpenClaude-1.7B-Merged-bf16.gguf filter=lfs diff=lfs merge=lfs -text +AvelonLabs_OpenClaude-1.7B-Merged-imatrix.gguf filter=lfs diff=lfs merge=lfs -text + +AvelonLabs_OpenClaude-1.7B-Merged-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text \ No newline at end of file diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-IQ2_M.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-IQ2_M.gguf new file mode 100644 index 0000000..4351308 --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-IQ2_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9910a264cfaaaab3d5d064885f0cce839c7f3e671e6a6f8e359b4dbe150aee02 +size 769729504 diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-IQ3_M.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-IQ3_M.gguf new file mode 100644 index 0000000..771a2d7 --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-IQ3_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:43f52870a8eadbe0280105f02412c2dcf163e890ccc531860f8364503402cf06 +size 925940704 diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-IQ3_XS.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-IQ3_XS.gguf new file mode 100644 index 0000000..7776e83 --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-IQ3_XS.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f426a847a3cac2733a0d3a6a9853bf89879e2bf44bcbfc5eefb029f60a26dace +size 865418208 diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-IQ3_XXS.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-IQ3_XXS.gguf new file mode 100644 index 0000000..8c0c7ed --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-IQ3_XXS.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1a448c558aee5eaf0e36b914bef26c0780c62bbea80ab235ccb4b7d7cdc8baf0 +size 791061472 diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-IQ4_NL.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-IQ4_NL.gguf new file mode 100644 index 0000000..a0f286d --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-IQ4_NL.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cffb13228ade48e33898b1f80a8263d53e8f1aac25ba756973435b430a910363 +size 1069562848 diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-IQ4_XS.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-IQ4_XS.gguf new file mode 100644 index 0000000..37f1ee8 --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-IQ4_XS.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4a1a3c1306beea02c27b1e1a18fb1213bf1ec9e600552807c59d53e0f8f34277 +size 1027357664 diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-Q2_K.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-Q2_K.gguf new file mode 100644 index 0000000..f99f70b --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-Q2_K.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dcaa61fb4e391840fe2c16c03d5175686eb62807573287f30349adb7057ffcf0 +size 806697952 diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-Q2_K_L.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-Q2_K_L.gguf new file mode 100644 index 0000000..62e2b8b --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-Q2_K_L.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7aefe5d65c3f53de5d355a080080b1713e3dd4dbc5767b2ef2df42d39e299155 +size 882058208 diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_L.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_L.gguf new file mode 100644 index 0000000..94ca124 --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_L.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4923ec67f519af769a644a3bd9189a4669fa9c2d7c948c71147a001187057a23 +size 1011760096 diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_M.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_M.gguf new file mode 100644 index 0000000..ab64c58 --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:14e3a678e6ed52eb73f23957ad12030161dec4d46c5e0a64a9931b501cea9415 +size 965622752 diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_S.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_S.gguf new file mode 100644 index 0000000..937e59f --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_S.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8670b87430f23bf25cc54b94745323e46e1ded1c2c30c39daf3f1f1a6bf4207a +size 890190816 diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_XL.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_XL.gguf new file mode 100644 index 0000000..6e4e983 --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_XL.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3c6baa04963c93185cb9c1b635633399bd7815fadb5d41a6a94aeb3494890ce3 +size 1087120352 diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-Q4_0.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-Q4_0.gguf new file mode 100644 index 0000000..ea70f3b --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-Q4_0.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:61677d252474b14e9aa4b412a6889262afa7c47f53e772137551336aaf8ed01a +size 1071922144 diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-Q4_1.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-Q4_1.gguf new file mode 100644 index 0000000..cefdf4b --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-Q4_1.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d81c1a17ad5980049d7ddaef8f4e7570df5d5ecfc5fbce99bd2c422ed30a7bd2 +size 1153973216 diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-Q4_K_L.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-Q4_K_L.gguf new file mode 100644 index 0000000..10d090c --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-Q4_K_L.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6f8345da61f1601c84247a43934ee14ddd888d1d3dba801c2549c85f0065cafd +size 1219929056 diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-Q4_K_M.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-Q4_K_M.gguf new file mode 100644 index 0000000..e7878a8 --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-Q4_K_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bf3aaff3d06b7bac47e07baaff9a4246f655421464620fe18c04ff22d4f5b6af +size 1144568800 diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-Q4_K_S.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-Q4_K_S.gguf new file mode 100644 index 0000000..42e984d --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-Q4_K_S.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d4f529556f0113332041332690d130647a663419163a8dffbd77dfc46487d43e +size 1077951456 diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-Q5_K_L.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-Q5_K_L.gguf new file mode 100644 index 0000000..2b2cc81 --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-Q5_K_L.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:efec5d9e88bca3676219628b0bbe25fd188546a732a4389bf6754b71eeb9b56e +size 1364435936 diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-Q5_K_M.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-Q5_K_M.gguf new file mode 100644 index 0000000..650d362 --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-Q5_K_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:651add504cb57a216b999f3c89fdac4f01a9ab2624352f26fd6d829390b17270 +size 1289075680 diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-Q5_K_S.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-Q5_K_S.gguf new file mode 100644 index 0000000..2a6ea21 --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-Q5_K_S.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2924049d48d7e8851eba0658b68800cd6396f75ad2e4070df59808794a318543 +size 1238383584 diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-Q6_K.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-Q6_K.gguf new file mode 100644 index 0000000..fd02a06 --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-Q6_K.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8ba596d1a1d961ffbb8f7ec7a4dd0fc4db2f7ea4540945dd21a6f8b836ac7b92 +size 1481751520 diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-Q6_K_L.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-Q6_K_L.gguf new file mode 100644 index 0000000..7361cd1 --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-Q6_K_L.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c0c909a012ab31df619a9580bf7190db528b98100111845b9603e8ab28a5eeb0 +size 1557111776 diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-Q8_0.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-Q8_0.gguf new file mode 100644 index 0000000..21765a4 --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-Q8_0.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:88e84f6b8aa61246bd95b9d257c66b4d637d4fdecb56b3d924ddf9da32ee8a1e +size 1834427360 diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-bf16.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-bf16.gguf new file mode 100644 index 0000000..9aa0c1c --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-bf16.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0c40811a439d66dc9ebc0fbeef9174d827a504ecfa82b0915908030dedfe74a4 +size 3447349952 diff --git a/AvelonLabs_OpenClaude-1.7B-Merged-imatrix.gguf b/AvelonLabs_OpenClaude-1.7B-Merged-imatrix.gguf new file mode 100644 index 0000000..9286a2a --- /dev/null +++ b/AvelonLabs_OpenClaude-1.7B-Merged-imatrix.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:85db99c0364c7a69064f8697656e8f54ef64f3d1bf03b74c921b006d98b3f7dd +size 2094560 diff --git a/README.md b/README.md new file mode 100644 index 0000000..fa8283b --- /dev/null +++ b/README.md @@ -0,0 +1,184 @@ +--- +quantized_by: bartowski +pipeline_tag: text-generation +base_model_relation: quantized +language: +- en +license: apache-2.0 +datasets: +- angrygiraffe/claude-opus-4.6-4.7-reasoning-8.7k +- lordx64/reasoning-distill-claude-opus-4-7-max +base_model: AvelonLabs/OpenClaude-1.7B-Merged +--- + +## Llamacpp imatrix Quantizations of OpenClaude-1.7B-Merged by AvelonLabs + +Using llama.cpp release b9518 for quantization. + +Original model: https://huggingface.co/AvelonLabs/OpenClaude-1.7B-Merged + +All quants made using imatrix option with dataset from [here](https://gist.github.com/bartowski1182/82ae9b520227f57d79ba04add13d0d0d) + +Run them in your choice of tools: + +- [llama.cpp](https://github.com/ggml-org/llama.cpp) +- [ramalama](https://github.com/containers/ramalama) +- [LM Studio](https://lmstudio.ai/) +- [koboldcpp](https://github.com/LostRuins/koboldcpp) +- [Jan AI](https://www.jan.ai/) +- [Text Generation Web UI](https://github.com/oobabooga/text-generation-webui) +- [LoLLMs](https://github.com/ParisNeo/lollms) + +Note: if it's a newly supported model, you may need to wait for an update from the developers. + +## Prompt format + +``` +<|im_start|>system +{system_prompt}<|im_end|> +<|im_start|>user +{prompt}<|im_end|> +<|im_start|>assistant +``` + +## Download a file (not the whole branch) from below: + +| Filename | Quant type | File Size | Split | Description | +| -------- | ---------- | --------- | ----- | ----------- | +| [OpenClaude-1.7B-Merged-bf16.gguf](https://huggingface.co/bartowski/AvelonLabs_OpenClaude-1.7B-Merged-GGUF/blob/main/AvelonLabs_OpenClaude-1.7B-Merged-bf16.gguf) | bf16 | 3.45GB | false | Full BF16 weights. | +| [OpenClaude-1.7B-Merged-Q8_0.gguf](https://huggingface.co/bartowski/AvelonLabs_OpenClaude-1.7B-Merged-GGUF/blob/main/AvelonLabs_OpenClaude-1.7B-Merged-Q8_0.gguf) | Q8_0 | 1.83GB | false | Extremely high quality, generally unneeded but max available quant. | +| [OpenClaude-1.7B-Merged-Q6_K_L.gguf](https://huggingface.co/bartowski/AvelonLabs_OpenClaude-1.7B-Merged-GGUF/blob/main/AvelonLabs_OpenClaude-1.7B-Merged-Q6_K_L.gguf) | Q6_K_L | 1.56GB | false | Uses Q8_0 for embed and output weights. Very high quality, near perfect, *recommended*. | +| [OpenClaude-1.7B-Merged-Q6_K.gguf](https://huggingface.co/bartowski/AvelonLabs_OpenClaude-1.7B-Merged-GGUF/blob/main/AvelonLabs_OpenClaude-1.7B-Merged-Q6_K.gguf) | Q6_K | 1.48GB | false | Very high quality, near perfect, *recommended*. | +| [OpenClaude-1.7B-Merged-Q5_K_L.gguf](https://huggingface.co/bartowski/AvelonLabs_OpenClaude-1.7B-Merged-GGUF/blob/main/AvelonLabs_OpenClaude-1.7B-Merged-Q5_K_L.gguf) | Q5_K_L | 1.36GB | false | Uses Q8_0 for embed and output weights. High quality, *recommended*. | +| [OpenClaude-1.7B-Merged-Q5_K_M.gguf](https://huggingface.co/bartowski/AvelonLabs_OpenClaude-1.7B-Merged-GGUF/blob/main/AvelonLabs_OpenClaude-1.7B-Merged-Q5_K_M.gguf) | Q5_K_M | 1.29GB | false | High quality, *recommended*. | +| [OpenClaude-1.7B-Merged-Q5_K_S.gguf](https://huggingface.co/bartowski/AvelonLabs_OpenClaude-1.7B-Merged-GGUF/blob/main/AvelonLabs_OpenClaude-1.7B-Merged-Q5_K_S.gguf) | Q5_K_S | 1.24GB | false | High quality, *recommended*. | +| [OpenClaude-1.7B-Merged-Q4_K_L.gguf](https://huggingface.co/bartowski/AvelonLabs_OpenClaude-1.7B-Merged-GGUF/blob/main/AvelonLabs_OpenClaude-1.7B-Merged-Q4_K_L.gguf) | Q4_K_L | 1.22GB | false | Uses Q8_0 for embed and output weights. Good quality, *recommended*. | +| [OpenClaude-1.7B-Merged-Q4_1.gguf](https://huggingface.co/bartowski/AvelonLabs_OpenClaude-1.7B-Merged-GGUF/blob/main/AvelonLabs_OpenClaude-1.7B-Merged-Q4_1.gguf) | Q4_1 | 1.15GB | false | Legacy format, similar performance to Q4_K_S but with improved tokens/watt on Apple silicon. | +| [OpenClaude-1.7B-Merged-Q4_K_M.gguf](https://huggingface.co/bartowski/AvelonLabs_OpenClaude-1.7B-Merged-GGUF/blob/main/AvelonLabs_OpenClaude-1.7B-Merged-Q4_K_M.gguf) | Q4_K_M | 1.14GB | false | Good quality, default size for most use cases, *recommended*. | +| [OpenClaude-1.7B-Merged-Q3_K_XL.gguf](https://huggingface.co/bartowski/AvelonLabs_OpenClaude-1.7B-Merged-GGUF/blob/main/AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_XL.gguf) | Q3_K_XL | 1.09GB | false | Uses Q8_0 for embed and output weights. Lower quality but usable, good for low RAM availability. | +| [OpenClaude-1.7B-Merged-Q4_K_S.gguf](https://huggingface.co/bartowski/AvelonLabs_OpenClaude-1.7B-Merged-GGUF/blob/main/AvelonLabs_OpenClaude-1.7B-Merged-Q4_K_S.gguf) | Q4_K_S | 1.08GB | false | Slightly lower quality with more space savings, *recommended*. | +| [OpenClaude-1.7B-Merged-Q4_0.gguf](https://huggingface.co/bartowski/AvelonLabs_OpenClaude-1.7B-Merged-GGUF/blob/main/AvelonLabs_OpenClaude-1.7B-Merged-Q4_0.gguf) | Q4_0 | 1.07GB | false | Legacy format, offers online repacking for ARM and AVX CPU inference. | +| [OpenClaude-1.7B-Merged-IQ4_NL.gguf](https://huggingface.co/bartowski/AvelonLabs_OpenClaude-1.7B-Merged-GGUF/blob/main/AvelonLabs_OpenClaude-1.7B-Merged-IQ4_NL.gguf) | IQ4_NL | 1.07GB | false | Similar to IQ4_XS, but slightly larger. Offers online repacking for ARM CPU inference. | +| [OpenClaude-1.7B-Merged-IQ4_XS.gguf](https://huggingface.co/bartowski/AvelonLabs_OpenClaude-1.7B-Merged-GGUF/blob/main/AvelonLabs_OpenClaude-1.7B-Merged-IQ4_XS.gguf) | IQ4_XS | 1.03GB | false | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. | +| [OpenClaude-1.7B-Merged-Q3_K_L.gguf](https://huggingface.co/bartowski/AvelonLabs_OpenClaude-1.7B-Merged-GGUF/blob/main/AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_L.gguf) | Q3_K_L | 1.01GB | false | Lower quality but usable, good for low RAM availability. | +| [OpenClaude-1.7B-Merged-Q3_K_M.gguf](https://huggingface.co/bartowski/AvelonLabs_OpenClaude-1.7B-Merged-GGUF/blob/main/AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_M.gguf) | Q3_K_M | 0.97GB | false | Low quality. | +| [OpenClaude-1.7B-Merged-IQ3_M.gguf](https://huggingface.co/bartowski/AvelonLabs_OpenClaude-1.7B-Merged-GGUF/blob/main/AvelonLabs_OpenClaude-1.7B-Merged-IQ3_M.gguf) | IQ3_M | 0.93GB | false | Medium-low quality, new method with decent performance comparable to Q3_K_M. | +| [OpenClaude-1.7B-Merged-Q3_K_S.gguf](https://huggingface.co/bartowski/AvelonLabs_OpenClaude-1.7B-Merged-GGUF/blob/main/AvelonLabs_OpenClaude-1.7B-Merged-Q3_K_S.gguf) | Q3_K_S | 0.89GB | false | Low quality, not recommended. | +| [OpenClaude-1.7B-Merged-Q2_K_L.gguf](https://huggingface.co/bartowski/AvelonLabs_OpenClaude-1.7B-Merged-GGUF/blob/main/AvelonLabs_OpenClaude-1.7B-Merged-Q2_K_L.gguf) | Q2_K_L | 0.88GB | false | Uses Q8_0 for embed and output weights. Very low quality but surprisingly usable. | +| [OpenClaude-1.7B-Merged-IQ3_XS.gguf](https://huggingface.co/bartowski/AvelonLabs_OpenClaude-1.7B-Merged-GGUF/blob/main/AvelonLabs_OpenClaude-1.7B-Merged-IQ3_XS.gguf) | IQ3_XS | 0.87GB | false | Lower quality, new method with decent performance, slightly better than Q3_K_S. | +| [OpenClaude-1.7B-Merged-Q2_K.gguf](https://huggingface.co/bartowski/AvelonLabs_OpenClaude-1.7B-Merged-GGUF/blob/main/AvelonLabs_OpenClaude-1.7B-Merged-Q2_K.gguf) | Q2_K | 0.81GB | false | Very low quality but surprisingly usable. | +| [OpenClaude-1.7B-Merged-IQ3_XXS.gguf](https://huggingface.co/bartowski/AvelonLabs_OpenClaude-1.7B-Merged-GGUF/blob/main/AvelonLabs_OpenClaude-1.7B-Merged-IQ3_XXS.gguf) | IQ3_XXS | 0.79GB | false | Lower quality, new method with decent performance, comparable to Q3 quants. | +| [OpenClaude-1.7B-Merged-IQ2_M.gguf](https://huggingface.co/bartowski/AvelonLabs_OpenClaude-1.7B-Merged-GGUF/blob/main/AvelonLabs_OpenClaude-1.7B-Merged-IQ2_M.gguf) | IQ2_M | 0.77GB | 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/AvelonLabs_OpenClaude-1.7B-Merged-GGUF --include "AvelonLabs_OpenClaude-1.7B-Merged-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/AvelonLabs_OpenClaude-1.7B-Merged-GGUF --include "AvelonLabs_OpenClaude-1.7B-Merged-Q8_0/*" --local-dir ./ +``` + +You can either specify a new local-dir (AvelonLabs_OpenClaude-1.7B-Merged-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/ggml-org/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/ggml-org/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/ggml-org/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/ggml-org/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