--- base_model: nvidia/NFT-32B datasets: - BytedTsinghua-SIA/DAPO-Math-17k language: - en library_name: transformers license: other license_link: https://huggingface.co/nvidia/NFT-32B/blob/main/LICENSE license_name: nvidia-non-commercial-license mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - nvidia - math - reasoning - post-training - qwen --- ## About static quants of https://huggingface.co/nvidia/NFT-32B ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#NFT-32B-GGUF).*** weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion. ## 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/NFT-32B-GGUF/resolve/main/NFT-32B.Q2_K.gguf) | Q2_K | 12.4 | | 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.