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---
base_model: mgoin/Nemotron-4-340B-Base-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
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static quants of https://huggingface.co/mgoin/Nemotron-4-340B-Base-hf
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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 |
|:-----|:-----|--------:|:------|
| [PART 1](https://huggingface.co/mradermacher/Nemotron-4-340B-Base-hf-GGUF/resolve/main/Nemotron-4-340B-Base-hf.Q4_K_S.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/Nemotron-4-340B-Base-hf-GGUF/resolve/main/Nemotron-4-340B-Base-hf.Q4_K_S.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/Nemotron-4-340B-Base-hf-GGUF/resolve/main/Nemotron-4-340B-Base-hf.Q4_K_S.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/Nemotron-4-340B-Base-hf-GGUF/resolve/main/Nemotron-4-340B-Base-hf.Q4_K_S.gguf.part4of4) | Q4_K_S | 195.2 | fast, recommended |
| [P1](https://huggingface.co/mradermacher/Nemotron-4-340B-Base-hf-GGUF/resolve/main/Nemotron-4-340B-Base-hf.Q8_0.gguf.part1of8) [P2](https://huggingface.co/mradermacher/Nemotron-4-340B-Base-hf-GGUF/resolve/main/Nemotron-4-340B-Base-hf.Q8_0.gguf.part2of8) [P3](https://huggingface.co/mradermacher/Nemotron-4-340B-Base-hf-GGUF/resolve/main/Nemotron-4-340B-Base-hf.Q8_0.gguf.part3of8) [P4](https://huggingface.co/mradermacher/Nemotron-4-340B-Base-hf-GGUF/resolve/main/Nemotron-4-340B-Base-hf.Q8_0.gguf.part4of8) [P5](https://huggingface.co/mradermacher/Nemotron-4-340B-Base-hf-GGUF/resolve/main/Nemotron-4-340B-Base-hf.Q8_0.gguf.part5of8) [P6](https://huggingface.co/mradermacher/Nemotron-4-340B-Base-hf-GGUF/resolve/main/Nemotron-4-340B-Base-hf.Q8_0.gguf.part6of8) [P7](https://huggingface.co/mradermacher/Nemotron-4-340B-Base-hf-GGUF/resolve/main/Nemotron-4-340B-Base-hf.Q8_0.gguf.part7of8) [P8](https://huggingface.co/mradermacher/Nemotron-4-340B-Base-hf-GGUF/resolve/main/Nemotron-4-340B-Base-hf.Q8_0.gguf.part8of8) | Q8_0 | 362.5 | fast, best quality |
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.
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