NVIDIA Nemotron Labs 3 Elastic 12B A2B GGUF

--- base_model: DavidAU/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B language: - en - es - fr - de - ja - it library_name: transformers license: other license_link: https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/ license_name: nvidia-open-model-license mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - nvidia - pytorch - elastic - 128 experts - 8 activated experts - finetune - moe - mixture of experts - sparse moe --- ## About static quants of https://huggingface.co/DavidAU/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B-i1-GGUF ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, including on how to concatenate multi-part files. ## Provided Quants (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) | Link | Type | Size/GB | Notes | |:-----|:-----|--------:|:------| | [GGUF](https://huggingface.co/mradermacher/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B-GGUF/resolve/main/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B.Q2_K.gguf) | Q2_K | 7.2 | | | [GGUF](https://huggingface.co/mradermacher/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B-GGUF/resolve/main/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B.Q3_K_S.gguf) | Q3_K_S | 7.2 | | | [GGUF](https://huggingface.co/mradermacher/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B-GGUF/resolve/main/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B.IQ4_XS.gguf) | IQ4_XS | 7.3 | | | [GGUF](https://huggingface.co/mradermacher/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B-GGUF/resolve/main/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B.Q3_K_M.gguf) | Q3_K_M | 7.9 | lower quality | | [GGUF](https://huggingface.co/mradermacher/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B-GGUF/resolve/main/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B.Q3_K_L.gguf) | Q3_K_L | 8.3 | | | [GGUF](https://huggingface.co/mradermacher/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B-GGUF/resolve/main/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B.Q4_K_S.gguf) | Q4_K_S | 8.8 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B-GGUF/resolve/main/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B.Q5_K_S.gguf) | Q5_K_S | 9.5 | | | [GGUF](https://huggingface.co/mradermacher/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B-GGUF/resolve/main/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B.Q4_K_M.gguf) | Q4_K_M | 9.7 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B-GGUF/resolve/main/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B.Q5_K_M.gguf) | Q5_K_M | 10.3 | | | [GGUF](https://huggingface.co/mradermacher/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B-GGUF/resolve/main/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B.Q6_K.gguf) | Q6_K | 13.3 | very good quality | | [GGUF](https://huggingface.co/mradermacher/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B-GGUF/resolve/main/NVIDIA-Nemotron-Labs-3-Elastic-12B-A2B.Q8_0.gguf) | Q8_0 | 13.3 | fast, best quality | Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):  And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 ## FAQ / Model Request See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized. ## Thanks I thank my company, [nethype GmbH](https://www.nethype.de/), for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.