commit 1a8ed72425b29409ac70699e95c192a16d31db27 Author: ModelHub XC Date: Fri Oct 23 13:28:14 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: bartowski/LiquidAI_LFM2-350M-Extract-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..c843f0f --- /dev/null +++ b/.gitattributes @@ -0,0 +1,72 @@ +*.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 + +LiquidAI_LFM2-350M-Extract-Q2_K_L.gguf filter=lfs diff=lfs merge=lfs -text +LiquidAI_LFM2-350M-Extract-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text +LiquidAI_LFM2-350M-Extract-IQ3_M.gguf filter=lfs diff=lfs merge=lfs -text +LiquidAI_LFM2-350M-Extract-IQ3_XS.gguf filter=lfs diff=lfs merge=lfs -text +LiquidAI_LFM2-350M-Extract-Q5_K_L.gguf filter=lfs diff=lfs merge=lfs -text +LiquidAI_LFM2-350M-Extract-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text +LiquidAI_LFM2-350M-Extract-IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text +LiquidAI_LFM2-350M-Extract-IQ2_M.gguf filter=lfs diff=lfs merge=lfs -text +LiquidAI_LFM2-350M-Extract-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text +LiquidAI_LFM2-350M-Extract-bf16.gguf filter=lfs diff=lfs merge=lfs -text +LiquidAI_LFM2-350M-Extract-IQ4_NL.gguf filter=lfs diff=lfs merge=lfs -text +LiquidAI_LFM2-350M-Extract-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text +LiquidAI_LFM2-350M-Extract-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text +LiquidAI_LFM2-350M-Extract-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text +LiquidAI_LFM2-350M-Extract-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text +LiquidAI_LFM2-350M-Extract-Q6_K_L.gguf filter=lfs diff=lfs merge=lfs -text +LiquidAI_LFM2-350M-Extract-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text +LiquidAI_LFM2-350M-Extract-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text +LiquidAI_LFM2-350M-Extract-Q3_K_XL.gguf filter=lfs diff=lfs merge=lfs -text +LiquidAI_LFM2-350M-Extract-Q4_1.gguf filter=lfs diff=lfs merge=lfs -text +LiquidAI_LFM2-350M-Extract-Q4_K_L.gguf filter=lfs diff=lfs merge=lfs -text +LiquidAI_LFM2-350M-Extract-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text +LiquidAI_LFM2-350M-Extract-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text +LiquidAI_LFM2-350M-Extract-IQ3_XXS.gguf filter=lfs diff=lfs merge=lfs -text \ No newline at end of file diff --git a/LiquidAI_LFM2-350M-Extract-IQ2_M.gguf b/LiquidAI_LFM2-350M-Extract-IQ2_M.gguf new file mode 100644 index 0000000..12d5740 --- /dev/null +++ b/LiquidAI_LFM2-350M-Extract-IQ2_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:389407faeba7d8f74c762c58e7bd3f15bfe1c413bd9aa8b2b6da7149416094bd +size 142877248 diff --git a/LiquidAI_LFM2-350M-Extract-IQ3_M.gguf b/LiquidAI_LFM2-350M-Extract-IQ3_M.gguf new file mode 100644 index 0000000..1e9217f --- /dev/null +++ b/LiquidAI_LFM2-350M-Extract-IQ3_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a01750ac6b36d588c1ea6dde7d161106f73abb5aaa26637c10eb8591750c8f56 +size 183657024 diff --git a/LiquidAI_LFM2-350M-Extract-IQ3_XS.gguf b/LiquidAI_LFM2-350M-Extract-IQ3_XS.gguf new file mode 100644 index 0000000..3299db5 --- /dev/null +++ b/LiquidAI_LFM2-350M-Extract-IQ3_XS.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1a518bcf3a4be2314a3d4280329f6973ed37a536eba7e1f5e47791bb1c0f1d78 +size 175399488 diff --git a/LiquidAI_LFM2-350M-Extract-IQ3_XXS.gguf b/LiquidAI_LFM2-350M-Extract-IQ3_XXS.gguf new file mode 100644 index 0000000..a39b3fa --- /dev/null +++ b/LiquidAI_LFM2-350M-Extract-IQ3_XXS.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ed70f66a1ca5ff887b0fa09fce2656125680b482a70e46105a02cd5293c2aea5 +size 158474816 diff --git a/LiquidAI_LFM2-350M-Extract-IQ4_NL.gguf b/LiquidAI_LFM2-350M-Extract-IQ4_NL.gguf new file mode 100644 index 0000000..ce95540 --- /dev/null +++ b/LiquidAI_LFM2-350M-Extract-IQ4_NL.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7598697359336c99ca7153c8fc584580df4e7d35ea19b5df0db972e96e5e0a14 +size 219308608 diff --git a/LiquidAI_LFM2-350M-Extract-IQ4_XS.gguf b/LiquidAI_LFM2-350M-Extract-IQ4_XS.gguf new file mode 100644 index 0000000..5090491 --- /dev/null +++ b/LiquidAI_LFM2-350M-Extract-IQ4_XS.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bd3a5fe8493b13eaa044d39b1a59bcfcaae31374cb52f4dc986936029061ca5c +size 210330176 diff --git a/LiquidAI_LFM2-350M-Extract-Q2_K.gguf b/LiquidAI_LFM2-350M-Extract-Q2_K.gguf new file mode 100644 index 0000000..96e4c86 --- /dev/null +++ b/LiquidAI_LFM2-350M-Extract-Q2_K.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ff5e4dd2e7ecfa40622e4d7a6357ac1c486b990c57ff49431a21624685936426 +size 160596544 diff --git a/LiquidAI_LFM2-350M-Extract-Q2_K_L.gguf b/LiquidAI_LFM2-350M-Extract-Q2_K_L.gguf new file mode 100644 index 0000000..10ceb19 --- /dev/null +++ b/LiquidAI_LFM2-350M-Extract-Q2_K_L.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:68b9cf4fe5bee5aa3be54531adbe7deb85aee9167c02c8c13797b65b55494da5 +size 176849472 diff --git a/LiquidAI_LFM2-350M-Extract-Q3_K_L.gguf b/LiquidAI_LFM2-350M-Extract-Q3_K_L.gguf new file mode 100644 index 0000000..9aa3d92 --- /dev/null +++ b/LiquidAI_LFM2-350M-Extract-Q3_K_L.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c9ba5d27626660414057bc3a5ac8a74067dbe48d0901b0eef610249728f22bf8 +size 203047488 diff --git a/LiquidAI_LFM2-350M-Extract-Q3_K_M.gguf b/LiquidAI_LFM2-350M-Extract-Q3_K_M.gguf new file mode 100644 index 0000000..0015470 --- /dev/null +++ b/LiquidAI_LFM2-350M-Extract-Q3_K_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:af22d155c55e85ab6022b1a1c6e0568a817919135f72d4059ab8448dcc7019a3 +size 193151552 diff --git a/LiquidAI_LFM2-350M-Extract-Q3_K_S.gguf b/LiquidAI_LFM2-350M-Extract-Q3_K_S.gguf new file mode 100644 index 0000000..3871c83 --- /dev/null +++ b/LiquidAI_LFM2-350M-Extract-Q3_K_S.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:273b1f3f63eee0e6c33f9aa8e69501f3033255783d011f800e23c848bdc27d22 +size 181150272 diff --git a/LiquidAI_LFM2-350M-Extract-Q3_K_XL.gguf b/LiquidAI_LFM2-350M-Extract-Q3_K_XL.gguf new file mode 100644 index 0000000..26f38a9 --- /dev/null +++ b/LiquidAI_LFM2-350M-Extract-Q3_K_XL.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4a4372c4f3478c1800d0326b19c737645a77040a07903f9e864c9e7eedae6e88 +size 219300416 diff --git a/LiquidAI_LFM2-350M-Extract-Q4_0.gguf b/LiquidAI_LFM2-350M-Extract-Q4_0.gguf new file mode 100644 index 0000000..015d1ee --- /dev/null +++ b/LiquidAI_LFM2-350M-Extract-Q4_0.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b4b7eff07349e5d88015c4f16232f9b0dfa89afdfe2f14f8826f899c478caca7 +size 219898432 diff --git a/LiquidAI_LFM2-350M-Extract-Q4_1.gguf b/LiquidAI_LFM2-350M-Extract-Q4_1.gguf new file mode 100644 index 0000000..92a47de --- /dev/null +++ b/LiquidAI_LFM2-350M-Extract-Q4_1.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2dd9d95aaeea44fdbd2b602d020cd0b29bbfa177488fe685fac04fc244a28f87 +size 237265472 diff --git a/LiquidAI_LFM2-350M-Extract-Q4_K_L.gguf b/LiquidAI_LFM2-350M-Extract-Q4_K_L.gguf new file mode 100644 index 0000000..1cf38d5 --- /dev/null +++ b/LiquidAI_LFM2-350M-Extract-Q4_K_L.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:230c63a35fedd75d383af40ddb32809a00ffeb7c5b4cf538d0baa1b5f3277ec4 +size 245563968 diff --git a/LiquidAI_LFM2-350M-Extract-Q4_K_M.gguf b/LiquidAI_LFM2-350M-Extract-Q4_K_M.gguf new file mode 100644 index 0000000..77ecfee --- /dev/null +++ b/LiquidAI_LFM2-350M-Extract-Q4_K_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:340a7fb24b98a7dbe933169dbbb869f4d89f8c7bf27ee45d62afabfc5b376743 +size 229311040 diff --git a/LiquidAI_LFM2-350M-Extract-Q4_K_S.gguf b/LiquidAI_LFM2-350M-Extract-Q4_K_S.gguf new file mode 100644 index 0000000..794303a --- /dev/null +++ b/LiquidAI_LFM2-350M-Extract-Q4_K_S.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:74cb86c0c038e7e45a498d2dd0f2eaf519583590120da01c8d63ee6cecab4653 +size 220750400 diff --git a/LiquidAI_LFM2-350M-Extract-Q5_K_L.gguf b/LiquidAI_LFM2-350M-Extract-Q5_K_L.gguf new file mode 100644 index 0000000..820fdec --- /dev/null +++ b/LiquidAI_LFM2-350M-Extract-Q5_K_L.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:23524b3a723c4504646f4fddf9da188e6e1bac03237ec350036949152780810f +size 276628032 diff --git a/LiquidAI_LFM2-350M-Extract-Q5_K_M.gguf b/LiquidAI_LFM2-350M-Extract-Q5_K_M.gguf new file mode 100644 index 0000000..c606178 --- /dev/null +++ b/LiquidAI_LFM2-350M-Extract-Q5_K_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e53777a7826cc5ff741d19bb95731714da593bbe9b928b891c540acd7c5885d7 +size 260375104 diff --git a/LiquidAI_LFM2-350M-Extract-Q5_K_S.gguf b/LiquidAI_LFM2-350M-Extract-Q5_K_S.gguf new file mode 100644 index 0000000..161e3d8 --- /dev/null +++ b/LiquidAI_LFM2-350M-Extract-Q5_K_S.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2a1bea9bd1f2a6e75036bdd0387fefc0861e76c6f639474adf4cfbce27ddc9f5 +size 255222336 diff --git a/LiquidAI_LFM2-350M-Extract-Q6_K.gguf b/LiquidAI_LFM2-350M-Extract-Q6_K.gguf new file mode 100644 index 0000000..aae9847 --- /dev/null +++ b/LiquidAI_LFM2-350M-Extract-Q6_K.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:55cf3fafd382970d7bcda49ead98ac8a8c585b324d6a4491ee90bcc1817aa593 +size 293380672 diff --git a/LiquidAI_LFM2-350M-Extract-Q6_K_L.gguf b/LiquidAI_LFM2-350M-Extract-Q6_K_L.gguf new file mode 100644 index 0000000..921d31b --- /dev/null +++ b/LiquidAI_LFM2-350M-Extract-Q6_K_L.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:afd79bd0efb7c60d43e47d0f35af7479878ae6891b5a10c3a4592a795ba66926 +size 309633600 diff --git a/LiquidAI_LFM2-350M-Extract-Q8_0.gguf b/LiquidAI_LFM2-350M-Extract-Q8_0.gguf new file mode 100644 index 0000000..3fd1773 --- /dev/null +++ b/LiquidAI_LFM2-350M-Extract-Q8_0.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2723a24792da9d64f2a1f6b9661c13b52194843150125f524b8c4e78d6d1747d +size 379216448 diff --git a/LiquidAI_LFM2-350M-Extract-bf16.gguf b/LiquidAI_LFM2-350M-Extract-bf16.gguf new file mode 100644 index 0000000..36b38f3 --- /dev/null +++ b/LiquidAI_LFM2-350M-Extract-bf16.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:048aa54285a04e70338b70fbae6d5943cd3d0ffca62ca90dac2cf7f0e85cc90e +size 711483680 diff --git a/LiquidAI_LFM2-350M-Extract-imatrix.gguf b/LiquidAI_LFM2-350M-Extract-imatrix.gguf new file mode 100644 index 0000000..186c5fd Binary files /dev/null and b/LiquidAI_LFM2-350M-Extract-imatrix.gguf differ diff --git a/README.md b/README.md new file mode 100644 index 0000000..4d6ba41 --- /dev/null +++ b/README.md @@ -0,0 +1,164 @@ +--- +quantized_by: bartowski +pipeline_tag: text-generation +base_model_relation: quantized +base_model: LiquidAI/LFM2-350M-Extract +--- + +## Llamacpp imatrix Quantizations of LFM2-350M-Extract by LiquidAI + +Using llama.cpp release b6683 for quantization. + +Original model: https://huggingface.co/LiquidAI/LFM2-350M-Extract + +All quants made using imatrix option with dataset from [here](https://gist.github.com/bartowski1182/eb213dccb3571f863da82e99418f81e8) combined with a subset of combined_all_small.parquet from Ed Addario [here](https://huggingface.co/datasets/eaddario/imatrix-calibration/blob/main/combined_all_small.parquet) + +Run them in [LM Studio](https://lmstudio.ai/) + +Run them directly with [llama.cpp](https://github.com/ggml-org/llama.cpp), or any other llama.cpp based project + +## Prompt format + +No prompt format found, check original model page + +## Download a file (not the whole branch) from below: + +| Filename | Quant type | File Size | Split | Description | +| -------- | ---------- | --------- | ----- | ----------- | +| [LFM2-350M-Extract-bf16.gguf](https://huggingface.co/bartowski/LiquidAI_LFM2-350M-Extract-GGUF/blob/main/LiquidAI_LFM2-350M-Extract-bf16.gguf) | bf16 | 0.71GB | false | Full BF16 weights. | +| [LFM2-350M-Extract-Q8_0.gguf](https://huggingface.co/bartowski/LiquidAI_LFM2-350M-Extract-GGUF/blob/main/LiquidAI_LFM2-350M-Extract-Q8_0.gguf) | Q8_0 | 0.38GB | false | Extremely high quality, generally unneeded but max available quant. | +| [LFM2-350M-Extract-Q6_K_L.gguf](https://huggingface.co/bartowski/LiquidAI_LFM2-350M-Extract-GGUF/blob/main/LiquidAI_LFM2-350M-Extract-Q6_K_L.gguf) | Q6_K_L | 0.31GB | false | Uses Q8_0 for embed and output weights. Very high quality, near perfect, *recommended*. | +| [LFM2-350M-Extract-Q6_K.gguf](https://huggingface.co/bartowski/LiquidAI_LFM2-350M-Extract-GGUF/blob/main/LiquidAI_LFM2-350M-Extract-Q6_K.gguf) | Q6_K | 0.29GB | false | Very high quality, near perfect, *recommended*. | +| [LFM2-350M-Extract-Q5_K_L.gguf](https://huggingface.co/bartowski/LiquidAI_LFM2-350M-Extract-GGUF/blob/main/LiquidAI_LFM2-350M-Extract-Q5_K_L.gguf) | Q5_K_L | 0.28GB | false | Uses Q8_0 for embed and output weights. High quality, *recommended*. | +| [LFM2-350M-Extract-Q5_K_M.gguf](https://huggingface.co/bartowski/LiquidAI_LFM2-350M-Extract-GGUF/blob/main/LiquidAI_LFM2-350M-Extract-Q5_K_M.gguf) | Q5_K_M | 0.26GB | false | High quality, *recommended*. | +| [LFM2-350M-Extract-Q5_K_S.gguf](https://huggingface.co/bartowski/LiquidAI_LFM2-350M-Extract-GGUF/blob/main/LiquidAI_LFM2-350M-Extract-Q5_K_S.gguf) | Q5_K_S | 0.26GB | false | High quality, *recommended*. | +| [LFM2-350M-Extract-Q4_K_L.gguf](https://huggingface.co/bartowski/LiquidAI_LFM2-350M-Extract-GGUF/blob/main/LiquidAI_LFM2-350M-Extract-Q4_K_L.gguf) | Q4_K_L | 0.25GB | false | Uses Q8_0 for embed and output weights. Good quality, *recommended*. | +| [LFM2-350M-Extract-Q4_1.gguf](https://huggingface.co/bartowski/LiquidAI_LFM2-350M-Extract-GGUF/blob/main/LiquidAI_LFM2-350M-Extract-Q4_1.gguf) | Q4_1 | 0.24GB | false | Legacy format, similar performance to Q4_K_S but with improved tokens/watt on Apple silicon. | +| [LFM2-350M-Extract-Q4_K_M.gguf](https://huggingface.co/bartowski/LiquidAI_LFM2-350M-Extract-GGUF/blob/main/LiquidAI_LFM2-350M-Extract-Q4_K_M.gguf) | Q4_K_M | 0.23GB | false | Good quality, default size for most use cases, *recommended*. | +| [LFM2-350M-Extract-Q4_K_S.gguf](https://huggingface.co/bartowski/LiquidAI_LFM2-350M-Extract-GGUF/blob/main/LiquidAI_LFM2-350M-Extract-Q4_K_S.gguf) | Q4_K_S | 0.22GB | false | Slightly lower quality with more space savings, *recommended*. | +| [LFM2-350M-Extract-Q4_0.gguf](https://huggingface.co/bartowski/LiquidAI_LFM2-350M-Extract-GGUF/blob/main/LiquidAI_LFM2-350M-Extract-Q4_0.gguf) | Q4_0 | 0.22GB | false | Legacy format, offers online repacking for ARM and AVX CPU inference. | +| [LFM2-350M-Extract-IQ4_NL.gguf](https://huggingface.co/bartowski/LiquidAI_LFM2-350M-Extract-GGUF/blob/main/LiquidAI_LFM2-350M-Extract-IQ4_NL.gguf) | IQ4_NL | 0.22GB | false | Similar to IQ4_XS, but slightly larger. Offers online repacking for ARM CPU inference. | +| [LFM2-350M-Extract-Q3_K_XL.gguf](https://huggingface.co/bartowski/LiquidAI_LFM2-350M-Extract-GGUF/blob/main/LiquidAI_LFM2-350M-Extract-Q3_K_XL.gguf) | Q3_K_XL | 0.22GB | false | Uses Q8_0 for embed and output weights. Lower quality but usable, good for low RAM availability. | +| [LFM2-350M-Extract-IQ4_XS.gguf](https://huggingface.co/bartowski/LiquidAI_LFM2-350M-Extract-GGUF/blob/main/LiquidAI_LFM2-350M-Extract-IQ4_XS.gguf) | IQ4_XS | 0.21GB | false | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. | +| [LFM2-350M-Extract-Q3_K_L.gguf](https://huggingface.co/bartowski/LiquidAI_LFM2-350M-Extract-GGUF/blob/main/LiquidAI_LFM2-350M-Extract-Q3_K_L.gguf) | Q3_K_L | 0.20GB | false | Lower quality but usable, good for low RAM availability. | +| [LFM2-350M-Extract-Q3_K_M.gguf](https://huggingface.co/bartowski/LiquidAI_LFM2-350M-Extract-GGUF/blob/main/LiquidAI_LFM2-350M-Extract-Q3_K_M.gguf) | Q3_K_M | 0.19GB | false | Low quality. | +| [LFM2-350M-Extract-IQ3_M.gguf](https://huggingface.co/bartowski/LiquidAI_LFM2-350M-Extract-GGUF/blob/main/LiquidAI_LFM2-350M-Extract-IQ3_M.gguf) | IQ3_M | 0.18GB | false | Medium-low quality, new method with decent performance comparable to Q3_K_M. | +| [LFM2-350M-Extract-Q3_K_S.gguf](https://huggingface.co/bartowski/LiquidAI_LFM2-350M-Extract-GGUF/blob/main/LiquidAI_LFM2-350M-Extract-Q3_K_S.gguf) | Q3_K_S | 0.18GB | false | Low quality, not recommended. | +| [LFM2-350M-Extract-IQ3_XS.gguf](https://huggingface.co/bartowski/LiquidAI_LFM2-350M-Extract-GGUF/blob/main/LiquidAI_LFM2-350M-Extract-IQ3_XS.gguf) | IQ3_XS | 0.18GB | false | Lower quality, new method with decent performance, slightly better than Q3_K_S. | +| [LFM2-350M-Extract-Q2_K_L.gguf](https://huggingface.co/bartowski/LiquidAI_LFM2-350M-Extract-GGUF/blob/main/LiquidAI_LFM2-350M-Extract-Q2_K_L.gguf) | Q2_K_L | 0.18GB | false | Uses Q8_0 for embed and output weights. Very low quality but surprisingly usable. | +| [LFM2-350M-Extract-IQ3_XXS.gguf](https://huggingface.co/bartowski/LiquidAI_LFM2-350M-Extract-GGUF/blob/main/LiquidAI_LFM2-350M-Extract-IQ3_XXS.gguf) | IQ3_XXS | 0.16GB | false | Lower quality, new method with decent performance, comparable to Q3 quants. | +| [LFM2-350M-Extract-Q2_K.gguf](https://huggingface.co/bartowski/LiquidAI_LFM2-350M-Extract-GGUF/blob/main/LiquidAI_LFM2-350M-Extract-Q2_K.gguf) | Q2_K | 0.16GB | false | Very low quality but surprisingly usable. | +| [LFM2-350M-Extract-IQ2_M.gguf](https://huggingface.co/bartowski/LiquidAI_LFM2-350M-Extract-GGUF/blob/main/LiquidAI_LFM2-350M-Extract-IQ2_M.gguf) | IQ2_M | 0.14GB | 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/LiquidAI_LFM2-350M-Extract-GGUF --include "LiquidAI_LFM2-350M-Extract-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/LiquidAI_LFM2-350M-Extract-GGUF --include "LiquidAI_LFM2-350M-Extract-Q8_0/*" --local-dir ./ +``` + +You can either specify a new local-dir (LiquidAI_LFM2-350M-Extract-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