--- base_model: mgoin/Nemotron-4-340B-Instruct-hf language: - en library_name: transformers license: other license_link: https://developer.download.nvidia.com/licenses/nvidia-open-model-license-agreement-june-2024.pdf license_name: nvidia-open-model-license quantized_by: mradermacher tags: - vllm --- ## About weighted/imatrix quants of https://huggingface.co/mgoin/Nemotron-4-340B-Instruct-hf static quants are available at https://huggingface.co/mradermacher/Nemotron-4-340B-Instruct-hf-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 | |:-----|:-----|--------:|:------| | [PART 1](https://huggingface.co/mradermacher/Nemotron-4-340B-Instruct-hf-i1-GGUF/resolve/main/Nemotron-4-340B-Instruct-hf.i1-IQ1_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Nemotron-4-340B-Instruct-hf-i1-GGUF/resolve/main/Nemotron-4-340B-Instruct-hf.i1-IQ1_S.gguf.part2of2) | i1-IQ1_S | 74.9 | for the desperate | | [PART 1](https://huggingface.co/mradermacher/Nemotron-4-340B-Instruct-hf-i1-GGUF/resolve/main/Nemotron-4-340B-Instruct-hf.i1-IQ1_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Nemotron-4-340B-Instruct-hf-i1-GGUF/resolve/main/Nemotron-4-340B-Instruct-hf.i1-IQ1_M.gguf.part2of2) | i1-IQ1_M | 81.5 | mostly desperate | | [PART 1](https://huggingface.co/mradermacher/Nemotron-4-340B-Instruct-hf-i1-GGUF/resolve/main/Nemotron-4-340B-Instruct-hf.i1-IQ2_XS.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Nemotron-4-340B-Instruct-hf-i1-GGUF/resolve/main/Nemotron-4-340B-Instruct-hf.i1-IQ2_XS.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Nemotron-4-340B-Instruct-hf-i1-GGUF/resolve/main/Nemotron-4-340B-Instruct-hf.i1-IQ2_XS.gguf.part3of3) | i1-IQ2_XS | 102.2 | | | [PART 1](https://huggingface.co/mradermacher/Nemotron-4-340B-Instruct-hf-i1-GGUF/resolve/main/Nemotron-4-340B-Instruct-hf.i1-IQ2_S.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Nemotron-4-340B-Instruct-hf-i1-GGUF/resolve/main/Nemotron-4-340B-Instruct-hf.i1-IQ2_S.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Nemotron-4-340B-Instruct-hf-i1-GGUF/resolve/main/Nemotron-4-340B-Instruct-hf.i1-IQ2_S.gguf.part3of3) | i1-IQ2_S | 108.9 | | | [PART 1](https://huggingface.co/mradermacher/Nemotron-4-340B-Instruct-hf-i1-GGUF/resolve/main/Nemotron-4-340B-Instruct-hf.i1-IQ2_M.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Nemotron-4-340B-Instruct-hf-i1-GGUF/resolve/main/Nemotron-4-340B-Instruct-hf.i1-IQ2_M.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Nemotron-4-340B-Instruct-hf-i1-GGUF/resolve/main/Nemotron-4-340B-Instruct-hf.i1-IQ2_M.gguf.part3of3) | i1-IQ2_M | 117.6 | | | [PART 1](https://huggingface.co/mradermacher/Nemotron-4-340B-Instruct-hf-i1-GGUF/resolve/main/Nemotron-4-340B-Instruct-hf.i1-Q2_K.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Nemotron-4-340B-Instruct-hf-i1-GGUF/resolve/main/Nemotron-4-340B-Instruct-hf.i1-Q2_K.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Nemotron-4-340B-Instruct-hf-i1-GGUF/resolve/main/Nemotron-4-340B-Instruct-hf.i1-Q2_K.gguf.part3of3) | i1-Q2_K | 131.6 | IQ3_XXS probably better | Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better): ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png) 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.