From 9289b37ed4e743a211f00f4b0e369cccab1b8512 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Mon, 13 Jul 2026 17:21:06 +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/nvidia_OpenReasoning-Nemotron-1.5B-GGUF Source: Original Platform --- .gitattributes | 47 +++++ README.md | 169 ++++++++++++++++++ configuration.json | 1 + nvidia_OpenReasoning-Nemotron-1.5B-IQ3_M.gguf | 3 + ...ia_OpenReasoning-Nemotron-1.5B-IQ3_XS.gguf | 3 + ...a_OpenReasoning-Nemotron-1.5B-IQ3_XXS.gguf | 3 + ...ia_OpenReasoning-Nemotron-1.5B-IQ4_NL.gguf | 3 + ...ia_OpenReasoning-Nemotron-1.5B-IQ4_XS.gguf | 3 + nvidia_OpenReasoning-Nemotron-1.5B-Q2_K.gguf | 3 + ...ia_OpenReasoning-Nemotron-1.5B-Q2_K_L.gguf | 3 + ...ia_OpenReasoning-Nemotron-1.5B-Q3_K_L.gguf | 3 + ...ia_OpenReasoning-Nemotron-1.5B-Q3_K_M.gguf | 3 + ...ia_OpenReasoning-Nemotron-1.5B-Q3_K_S.gguf | 3 + ...a_OpenReasoning-Nemotron-1.5B-Q3_K_XL.gguf | 3 + nvidia_OpenReasoning-Nemotron-1.5B-Q4_0.gguf | 3 + nvidia_OpenReasoning-Nemotron-1.5B-Q4_1.gguf | 3 + ...ia_OpenReasoning-Nemotron-1.5B-Q4_K_L.gguf | 3 + ...ia_OpenReasoning-Nemotron-1.5B-Q4_K_M.gguf | 3 + ...ia_OpenReasoning-Nemotron-1.5B-Q4_K_S.gguf | 3 + ...ia_OpenReasoning-Nemotron-1.5B-Q5_K_L.gguf | 3 + ...ia_OpenReasoning-Nemotron-1.5B-Q5_K_M.gguf | 3 + ...ia_OpenReasoning-Nemotron-1.5B-Q5_K_S.gguf | 3 + nvidia_OpenReasoning-Nemotron-1.5B-Q6_K.gguf | 3 + ...ia_OpenReasoning-Nemotron-1.5B-Q6_K_L.gguf | 3 + nvidia_OpenReasoning-Nemotron-1.5B-Q8_0.gguf | 3 + nvidia_OpenReasoning-Nemotron-1.5B-bf16.gguf | 3 + nvidia_OpenReasoning-Nemotron-1.5B.imatrix | 3 + 27 files changed, 289 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 configuration.json create mode 100644 nvidia_OpenReasoning-Nemotron-1.5B-IQ3_M.gguf create mode 100644 nvidia_OpenReasoning-Nemotron-1.5B-IQ3_XS.gguf create mode 100644 nvidia_OpenReasoning-Nemotron-1.5B-IQ3_XXS.gguf create mode 100644 nvidia_OpenReasoning-Nemotron-1.5B-IQ4_NL.gguf create mode 100644 nvidia_OpenReasoning-Nemotron-1.5B-IQ4_XS.gguf create mode 100644 nvidia_OpenReasoning-Nemotron-1.5B-Q2_K.gguf create mode 100644 nvidia_OpenReasoning-Nemotron-1.5B-Q2_K_L.gguf create mode 100644 nvidia_OpenReasoning-Nemotron-1.5B-Q3_K_L.gguf create mode 100644 nvidia_OpenReasoning-Nemotron-1.5B-Q3_K_M.gguf create mode 100644 nvidia_OpenReasoning-Nemotron-1.5B-Q3_K_S.gguf create mode 100644 nvidia_OpenReasoning-Nemotron-1.5B-Q3_K_XL.gguf create mode 100644 nvidia_OpenReasoning-Nemotron-1.5B-Q4_0.gguf create mode 100644 nvidia_OpenReasoning-Nemotron-1.5B-Q4_1.gguf create mode 100644 nvidia_OpenReasoning-Nemotron-1.5B-Q4_K_L.gguf create mode 100644 nvidia_OpenReasoning-Nemotron-1.5B-Q4_K_M.gguf create mode 100644 nvidia_OpenReasoning-Nemotron-1.5B-Q4_K_S.gguf create mode 100644 nvidia_OpenReasoning-Nemotron-1.5B-Q5_K_L.gguf create mode 100644 nvidia_OpenReasoning-Nemotron-1.5B-Q5_K_M.gguf create mode 100644 nvidia_OpenReasoning-Nemotron-1.5B-Q5_K_S.gguf create mode 100644 nvidia_OpenReasoning-Nemotron-1.5B-Q6_K.gguf create mode 100644 nvidia_OpenReasoning-Nemotron-1.5B-Q6_K_L.gguf create mode 100644 nvidia_OpenReasoning-Nemotron-1.5B-Q8_0.gguf create mode 100644 nvidia_OpenReasoning-Nemotron-1.5B-bf16.gguf create mode 100644 nvidia_OpenReasoning-Nemotron-1.5B.imatrix diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..53d7257 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,47 @@ +*.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 \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..d9f2d7d --- /dev/null +++ b/README.md @@ -0,0 +1,169 @@ +--- +quantized_by: bartowski +pipeline_tag: text-generation +base_model: nvidia/OpenReasoning-Nemotron-1.5B +base_model_relation: quantized +--- + +## Llamacpp imatrix Quantizations of OpenReasoning-Nemotron-1.5B by nvidia + +Using llama.cpp release b5934 for quantization. + +Original model: https://huggingface.co/nvidia/OpenReasoning-Nemotron-1.5B + +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 + +``` +<|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 | +| -------- | ---------- | --------- | ----- | ----------- | +| [OpenReasoning-Nemotron-1.5B-bf16.gguf](https://huggingface.co/bartowski/nvidia_OpenReasoning-Nemotron-1.5B-GGUF/blob/main/nvidia_OpenReasoning-Nemotron-1.5B-bf16.gguf) | bf16 | 3.09GB | false | Full BF16 weights. | +| [OpenReasoning-Nemotron-1.5B-Q8_0.gguf](https://huggingface.co/bartowski/nvidia_OpenReasoning-Nemotron-1.5B-GGUF/blob/main/nvidia_OpenReasoning-Nemotron-1.5B-Q8_0.gguf) | Q8_0 | 1.65GB | false | Extremely high quality, generally unneeded but max available quant. | +| [OpenReasoning-Nemotron-1.5B-Q6_K_L.gguf](https://huggingface.co/bartowski/nvidia_OpenReasoning-Nemotron-1.5B-GGUF/blob/main/nvidia_OpenReasoning-Nemotron-1.5B-Q6_K_L.gguf) | Q6_K_L | 1.33GB | false | Uses Q8_0 for embed and output weights. Very high quality, near perfect, *recommended*. | +| [OpenReasoning-Nemotron-1.5B-Q6_K.gguf](https://huggingface.co/bartowski/nvidia_OpenReasoning-Nemotron-1.5B-GGUF/blob/main/nvidia_OpenReasoning-Nemotron-1.5B-Q6_K.gguf) | Q6_K | 1.27GB | false | Very high quality, near perfect, *recommended*. | +| [OpenReasoning-Nemotron-1.5B-Q5_K_L.gguf](https://huggingface.co/bartowski/nvidia_OpenReasoning-Nemotron-1.5B-GGUF/blob/main/nvidia_OpenReasoning-Nemotron-1.5B-Q5_K_L.gguf) | Q5_K_L | 1.18GB | false | Uses Q8_0 for embed and output weights. High quality, *recommended*. | +| [OpenReasoning-Nemotron-1.5B-Q5_K_M.gguf](https://huggingface.co/bartowski/nvidia_OpenReasoning-Nemotron-1.5B-GGUF/blob/main/nvidia_OpenReasoning-Nemotron-1.5B-Q5_K_M.gguf) | Q5_K_M | 1.13GB | false | High quality, *recommended*. | +| [OpenReasoning-Nemotron-1.5B-Q5_K_S.gguf](https://huggingface.co/bartowski/nvidia_OpenReasoning-Nemotron-1.5B-GGUF/blob/main/nvidia_OpenReasoning-Nemotron-1.5B-Q5_K_S.gguf) | Q5_K_S | 1.10GB | false | High quality, *recommended*. | +| [OpenReasoning-Nemotron-1.5B-Q4_K_L.gguf](https://huggingface.co/bartowski/nvidia_OpenReasoning-Nemotron-1.5B-GGUF/blob/main/nvidia_OpenReasoning-Nemotron-1.5B-Q4_K_L.gguf) | Q4_K_L | 1.04GB | false | Uses Q8_0 for embed and output weights. Good quality, *recommended*. | +| [OpenReasoning-Nemotron-1.5B-Q4_1.gguf](https://huggingface.co/bartowski/nvidia_OpenReasoning-Nemotron-1.5B-GGUF/blob/main/nvidia_OpenReasoning-Nemotron-1.5B-Q4_1.gguf) | Q4_1 | 1.02GB | false | Legacy format, similar performance to Q4_K_S but with improved tokens/watt on Apple silicon. | +| [OpenReasoning-Nemotron-1.5B-Q4_K_M.gguf](https://huggingface.co/bartowski/nvidia_OpenReasoning-Nemotron-1.5B-GGUF/blob/main/nvidia_OpenReasoning-Nemotron-1.5B-Q4_K_M.gguf) | Q4_K_M | 0.99GB | false | Good quality, default size for most use cases, *recommended*. | +| [OpenReasoning-Nemotron-1.5B-Q4_K_S.gguf](https://huggingface.co/bartowski/nvidia_OpenReasoning-Nemotron-1.5B-GGUF/blob/main/nvidia_OpenReasoning-Nemotron-1.5B-Q4_K_S.gguf) | Q4_K_S | 0.94GB | false | Slightly lower quality with more space savings, *recommended*. | +| [OpenReasoning-Nemotron-1.5B-Q4_0.gguf](https://huggingface.co/bartowski/nvidia_OpenReasoning-Nemotron-1.5B-GGUF/blob/main/nvidia_OpenReasoning-Nemotron-1.5B-Q4_0.gguf) | Q4_0 | 0.94GB | false | Legacy format, offers online repacking for ARM and AVX CPU inference. | +| [OpenReasoning-Nemotron-1.5B-IQ4_NL.gguf](https://huggingface.co/bartowski/nvidia_OpenReasoning-Nemotron-1.5B-GGUF/blob/main/nvidia_OpenReasoning-Nemotron-1.5B-IQ4_NL.gguf) | IQ4_NL | 0.94GB | false | Similar to IQ4_XS, but slightly larger. Offers online repacking for ARM CPU inference. | +| [OpenReasoning-Nemotron-1.5B-Q3_K_XL.gguf](https://huggingface.co/bartowski/nvidia_OpenReasoning-Nemotron-1.5B-GGUF/blob/main/nvidia_OpenReasoning-Nemotron-1.5B-Q3_K_XL.gguf) | Q3_K_XL | 0.94GB | false | Uses Q8_0 for embed and output weights. Lower quality but usable, good for low RAM availability. | +| [OpenReasoning-Nemotron-1.5B-IQ4_XS.gguf](https://huggingface.co/bartowski/nvidia_OpenReasoning-Nemotron-1.5B-GGUF/blob/main/nvidia_OpenReasoning-Nemotron-1.5B-IQ4_XS.gguf) | IQ4_XS | 0.90GB | false | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. | +| [OpenReasoning-Nemotron-1.5B-Q3_K_L.gguf](https://huggingface.co/bartowski/nvidia_OpenReasoning-Nemotron-1.5B-GGUF/blob/main/nvidia_OpenReasoning-Nemotron-1.5B-Q3_K_L.gguf) | Q3_K_L | 0.88GB | false | Lower quality but usable, good for low RAM availability. | +| [OpenReasoning-Nemotron-1.5B-Q3_K_M.gguf](https://huggingface.co/bartowski/nvidia_OpenReasoning-Nemotron-1.5B-GGUF/blob/main/nvidia_OpenReasoning-Nemotron-1.5B-Q3_K_M.gguf) | Q3_K_M | 0.82GB | false | Low quality. | +| [OpenReasoning-Nemotron-1.5B-IQ3_M.gguf](https://huggingface.co/bartowski/nvidia_OpenReasoning-Nemotron-1.5B-GGUF/blob/main/nvidia_OpenReasoning-Nemotron-1.5B-IQ3_M.gguf) | IQ3_M | 0.78GB | false | Medium-low quality, new method with decent performance comparable to Q3_K_M. | +| [OpenReasoning-Nemotron-1.5B-Q3_K_S.gguf](https://huggingface.co/bartowski/nvidia_OpenReasoning-Nemotron-1.5B-GGUF/blob/main/nvidia_OpenReasoning-Nemotron-1.5B-Q3_K_S.gguf) | Q3_K_S | 0.76GB | false | Low quality, not recommended. | +| [OpenReasoning-Nemotron-1.5B-IQ3_XS.gguf](https://huggingface.co/bartowski/nvidia_OpenReasoning-Nemotron-1.5B-GGUF/blob/main/nvidia_OpenReasoning-Nemotron-1.5B-IQ3_XS.gguf) | IQ3_XS | 0.73GB | false | Lower quality, new method with decent performance, slightly better than Q3_K_S. | +| [OpenReasoning-Nemotron-1.5B-Q2_K_L.gguf](https://huggingface.co/bartowski/nvidia_OpenReasoning-Nemotron-1.5B-GGUF/blob/main/nvidia_OpenReasoning-Nemotron-1.5B-Q2_K_L.gguf) | Q2_K_L | 0.73GB | false | Uses Q8_0 for embed and output weights. Very low quality but surprisingly usable. | +| [OpenReasoning-Nemotron-1.5B-Q2_K.gguf](https://huggingface.co/bartowski/nvidia_OpenReasoning-Nemotron-1.5B-GGUF/blob/main/nvidia_OpenReasoning-Nemotron-1.5B-Q2_K.gguf) | Q2_K | 0.68GB | false | Very low quality but surprisingly usable. | +| [OpenReasoning-Nemotron-1.5B-IQ3_XXS.gguf](https://huggingface.co/bartowski/nvidia_OpenReasoning-Nemotron-1.5B-GGUF/blob/main/nvidia_OpenReasoning-Nemotron-1.5B-IQ3_XXS.gguf) | IQ3_XXS | 0.67GB | false | Lower quality, new method with decent performance, comparable to Q3 quants. | + +## 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/nvidia_OpenReasoning-Nemotron-1.5B-GGUF --include "nvidia_OpenReasoning-Nemotron-1.5B-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/nvidia_OpenReasoning-Nemotron-1.5B-GGUF --include "nvidia_OpenReasoning-Nemotron-1.5B-Q8_0/*" --local-dir ./ +``` + +You can either specify a new local-dir (nvidia_OpenReasoning-Nemotron-1.5B-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 diff --git a/nvidia_OpenReasoning-Nemotron-1.5B-IQ3_M.gguf b/nvidia_OpenReasoning-Nemotron-1.5B-IQ3_M.gguf new file mode 100644 index 0000000..ad1078b --- /dev/null +++ b/nvidia_OpenReasoning-Nemotron-1.5B-IQ3_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e7782979baf7baa54ee0ec202abccc04e7de5407ad46e2dfafbedade47c1ab23 +size 776662336 diff --git a/nvidia_OpenReasoning-Nemotron-1.5B-IQ3_XS.gguf b/nvidia_OpenReasoning-Nemotron-1.5B-IQ3_XS.gguf new file mode 100644 index 0000000..6c06ba1 --- /dev/null +++ b/nvidia_OpenReasoning-Nemotron-1.5B-IQ3_XS.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5afbf820e38a2b782bfb4ac7034a6c503f19f91068da5627f84ab494da0cc086 +size 731697472 diff --git a/nvidia_OpenReasoning-Nemotron-1.5B-IQ3_XXS.gguf b/nvidia_OpenReasoning-Nemotron-1.5B-IQ3_XXS.gguf new file mode 100644 index 0000000..0a270a6 --- /dev/null +++ b/nvidia_OpenReasoning-Nemotron-1.5B-IQ3_XXS.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:190096ee3ae6beda6381c64f7c3a7fd6179a95dd8d0c26199bfc9c8769b3d9cc +size 668790592 diff --git a/nvidia_OpenReasoning-Nemotron-1.5B-IQ4_NL.gguf b/nvidia_OpenReasoning-Nemotron-1.5B-IQ4_NL.gguf new file mode 100644 index 0000000..438365e --- /dev/null +++ b/nvidia_OpenReasoning-Nemotron-1.5B-IQ4_NL.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3b24a6c4fa844a3baf7f96daa5080743e219be9259a4643f25340adf0a296f89 +size 936329536 diff --git a/nvidia_OpenReasoning-Nemotron-1.5B-IQ4_XS.gguf b/nvidia_OpenReasoning-Nemotron-1.5B-IQ4_XS.gguf new file mode 100644 index 0000000..b5dabb1 --- /dev/null +++ b/nvidia_OpenReasoning-Nemotron-1.5B-IQ4_XS.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:076fc10d5082a93d4e64e9d56292a8a437a579e9f6783f9085b451d5e3dbeddf +size 895729984 diff --git a/nvidia_OpenReasoning-Nemotron-1.5B-Q2_K.gguf b/nvidia_OpenReasoning-Nemotron-1.5B-Q2_K.gguf new file mode 100644 index 0000000..8dc0427 --- /dev/null +++ b/nvidia_OpenReasoning-Nemotron-1.5B-Q2_K.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d1c28b7951ce466d9a0392d40b95275566a2e3e5eb4bc684eb40f22f970bfc8a +size 676303168 diff --git a/nvidia_OpenReasoning-Nemotron-1.5B-Q2_K_L.gguf b/nvidia_OpenReasoning-Nemotron-1.5B-Q2_K_L.gguf new file mode 100644 index 0000000..fd85786 --- /dev/null +++ b/nvidia_OpenReasoning-Nemotron-1.5B-Q2_K_L.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:be096ad1468536759ae97ddc280c2efac48897e8c5c7015888b8b2b1e70b359f +size 732823360 diff --git a/nvidia_OpenReasoning-Nemotron-1.5B-Q3_K_L.gguf b/nvidia_OpenReasoning-Nemotron-1.5B-Q3_K_L.gguf new file mode 100644 index 0000000..3142692 --- /dev/null +++ b/nvidia_OpenReasoning-Nemotron-1.5B-Q3_K_L.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f2f77f3cc23ca8018f67aaa7c6cdb64ac64dbe5749265822dbeb3ef38173b0e3 +size 880161088 diff --git a/nvidia_OpenReasoning-Nemotron-1.5B-Q3_K_M.gguf b/nvidia_OpenReasoning-Nemotron-1.5B-Q3_K_M.gguf new file mode 100644 index 0000000..785c559 --- /dev/null +++ b/nvidia_OpenReasoning-Nemotron-1.5B-Q3_K_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:55f64ef1ba71a9dc38a37eb0ef2945da0a566a9c1a018269e2c1547f142d4847 +size 824176960 diff --git a/nvidia_OpenReasoning-Nemotron-1.5B-Q3_K_S.gguf b/nvidia_OpenReasoning-Nemotron-1.5B-Q3_K_S.gguf new file mode 100644 index 0000000..cd7e223 --- /dev/null +++ b/nvidia_OpenReasoning-Nemotron-1.5B-Q3_K_S.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6dcec759cf4dbd7bb6f2828f166b40836181a745e68619265cd949c19ddf0cc0 +size 760942912 diff --git a/nvidia_OpenReasoning-Nemotron-1.5B-Q3_K_XL.gguf b/nvidia_OpenReasoning-Nemotron-1.5B-Q3_K_XL.gguf new file mode 100644 index 0000000..6fcecf7 --- /dev/null +++ b/nvidia_OpenReasoning-Nemotron-1.5B-Q3_K_XL.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:82478a87ce898917490599eeb48c181db6135164f8aa95970a26cbd989f3f940 +size 936681280 diff --git a/nvidia_OpenReasoning-Nemotron-1.5B-Q4_0.gguf b/nvidia_OpenReasoning-Nemotron-1.5B-Q4_0.gguf new file mode 100644 index 0000000..848ad5e --- /dev/null +++ b/nvidia_OpenReasoning-Nemotron-1.5B-Q4_0.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4731dc383a3c9418b72b9b35c5631dd67ddd6206049eaf400580ec7b204b5759 +size 937533760 diff --git a/nvidia_OpenReasoning-Nemotron-1.5B-Q4_1.gguf b/nvidia_OpenReasoning-Nemotron-1.5B-Q4_1.gguf new file mode 100644 index 0000000..180795c --- /dev/null +++ b/nvidia_OpenReasoning-Nemotron-1.5B-Q4_1.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c24d38f7ff4a883714bddd71fe4310e55a8484018357164eec302cd4b354af6d +size 1016840512 diff --git a/nvidia_OpenReasoning-Nemotron-1.5B-Q4_K_L.gguf b/nvidia_OpenReasoning-Nemotron-1.5B-Q4_K_L.gguf new file mode 100644 index 0000000..318f34b --- /dev/null +++ b/nvidia_OpenReasoning-Nemotron-1.5B-Q4_K_L.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6db8a205a0bd96e1815e2ca349ed8e2d6af2aedc1e7853378b6827019660e640 +size 1042566976 diff --git a/nvidia_OpenReasoning-Nemotron-1.5B-Q4_K_M.gguf b/nvidia_OpenReasoning-Nemotron-1.5B-Q4_K_M.gguf new file mode 100644 index 0000000..b925a29 --- /dev/null +++ b/nvidia_OpenReasoning-Nemotron-1.5B-Q4_K_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7c39e6fa1f335bec37e51404d104b47de0b80aafeaae534080aa8c2e11c71101 +size 986046784 diff --git a/nvidia_OpenReasoning-Nemotron-1.5B-Q4_K_S.gguf b/nvidia_OpenReasoning-Nemotron-1.5B-Q4_K_S.gguf new file mode 100644 index 0000000..64204dd --- /dev/null +++ b/nvidia_OpenReasoning-Nemotron-1.5B-Q4_K_S.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a3066841ca6db715b2ef39cb4d125a1aa388e7503d46249bce50644f765c1347 +size 940310848 diff --git a/nvidia_OpenReasoning-Nemotron-1.5B-Q5_K_L.gguf b/nvidia_OpenReasoning-Nemotron-1.5B-Q5_K_L.gguf new file mode 100644 index 0000000..f167db7 --- /dev/null +++ b/nvidia_OpenReasoning-Nemotron-1.5B-Q5_K_L.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:90c3d35df5206e0e5900480dd8ec9baa777ad2315ccec13e67e57234ed2d2843 +size 1181568832 diff --git a/nvidia_OpenReasoning-Nemotron-1.5B-Q5_K_M.gguf b/nvidia_OpenReasoning-Nemotron-1.5B-Q5_K_M.gguf new file mode 100644 index 0000000..7536e07 --- /dev/null +++ b/nvidia_OpenReasoning-Nemotron-1.5B-Q5_K_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:294d6ecf43ae2df3ce858a22ad5fe395fde26b59d2fd0ebac43eb02d4fdab820 +size 1125048640 diff --git a/nvidia_OpenReasoning-Nemotron-1.5B-Q5_K_S.gguf b/nvidia_OpenReasoning-Nemotron-1.5B-Q5_K_S.gguf new file mode 100644 index 0000000..868033d --- /dev/null +++ b/nvidia_OpenReasoning-Nemotron-1.5B-Q5_K_S.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7da9cf7e67cc8a3488585ef755cce268d85b731906caac924b9fa3f52fd51704 +size 1098727744 diff --git a/nvidia_OpenReasoning-Nemotron-1.5B-Q6_K.gguf b/nvidia_OpenReasoning-Nemotron-1.5B-Q6_K.gguf new file mode 100644 index 0000000..85701ef --- /dev/null +++ b/nvidia_OpenReasoning-Nemotron-1.5B-Q6_K.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:707226b52d000600bcf6cfdc7c118c6d0bd232ca5d13ecacdbf9abf9d81a9f85 +size 1272738112 diff --git a/nvidia_OpenReasoning-Nemotron-1.5B-Q6_K_L.gguf b/nvidia_OpenReasoning-Nemotron-1.5B-Q6_K_L.gguf new file mode 100644 index 0000000..6070382 --- /dev/null +++ b/nvidia_OpenReasoning-Nemotron-1.5B-Q6_K_L.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5c7841d2a596acf13584c5f8c3bf3ef8c60d117584e5b55048dcd434aaf562f1 +size 1329258304 diff --git a/nvidia_OpenReasoning-Nemotron-1.5B-Q8_0.gguf b/nvidia_OpenReasoning-Nemotron-1.5B-Q8_0.gguf new file mode 100644 index 0000000..23e7ee2 --- /dev/null +++ b/nvidia_OpenReasoning-Nemotron-1.5B-Q8_0.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1f5c3dcf03057be712c1a099b60a32f1ddf1b7f1e029eb87e9f322958a8d7457 +size 1646571328 diff --git a/nvidia_OpenReasoning-Nemotron-1.5B-bf16.gguf b/nvidia_OpenReasoning-Nemotron-1.5B-bf16.gguf new file mode 100644 index 0000000..1881e9e --- /dev/null +++ b/nvidia_OpenReasoning-Nemotron-1.5B-bf16.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:150c04d9e9b88d4d624233d70bc216477e2a195357c71c517b587107f8dc5fc2 +size 3093667328 diff --git a/nvidia_OpenReasoning-Nemotron-1.5B.imatrix b/nvidia_OpenReasoning-Nemotron-1.5B.imatrix new file mode 100644 index 0000000..87d5fe7 --- /dev/null +++ b/nvidia_OpenReasoning-Nemotron-1.5B.imatrix @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0cb201bf613345e5ba19fd2651cd5eb4b7f9f9539124d27e18679e903a393979 +size 2042214