---
base_model: NousResearch/Hermes-3-Llama-3.1-405B
language:
- en
library_name: transformers
license: llama3
quantized_by: mradermacher
tags:
- Llama-3
- instruct
- finetune
- chatml
- gpt4
- synthetic data
- distillation
- function calling
- json mode
- axolotl
- roleplaying
- chat
---
## About

<!-- ### quantize_version: 2 -->
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weighted/imatrix quants of https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-405B

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static quants are available at https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-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/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-IQ1_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-IQ1_S.gguf.part2of2) | i1-IQ1_S | 85.3 | for the desperate |
| [PART 1](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-IQ1_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-IQ1_M.gguf.part2of2) | i1-IQ1_M | 93.6 | mostly desperate |
| [PART 1](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-IQ2_S.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-IQ2_S.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-IQ2_S.gguf.part3of3) | i1-IQ2_S | 125.7 |  |
| [PART 1](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-IQ2_M.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-IQ2_M.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-IQ2_M.gguf.part3of3) | i1-IQ2_M | 136.8 |  |
| [PART 1](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q2_K.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q2_K.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q2_K.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q2_K.gguf.part4of4) | i1-Q2_K | 149.4 | IQ3_XXS probably better |
| [PART 1](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q3_K_S.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q3_K_S.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q3_K_S.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q3_K_S.gguf.part4of4) | i1-Q3_K_S | 175.3 | IQ3_XS probably better |
| [PART 1](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q3_K_M.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q3_K_M.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q3_K_M.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q3_K_M.gguf.part4of4) | i1-Q3_K_M | 195.5 | IQ3_S probably better |
| [P1](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q4_K_S.gguf.part1of5) [P2](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q4_K_S.gguf.part2of5) [P3](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q4_K_S.gguf.part3of5) [P4](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q4_K_S.gguf.part4of5) [P5](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q4_K_S.gguf.part5of5) | i1-Q4_K_S | 230.6 | optimal size/speed/quality |
| [P1](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q4_K_M.gguf.part1of5) [P2](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q4_K_M.gguf.part2of5) [P3](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q4_K_M.gguf.part3of5) [P4](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q4_K_M.gguf.part4of5) [P5](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q4_K_M.gguf.part5of5) | i1-Q4_K_M | 243.2 | fast, recommended |
| [P1](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q6_K.gguf.part1of7) [P2](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q6_K.gguf.part2of7) [P3](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q6_K.gguf.part3of7) [P4](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q6_K.gguf.part4of7) [P5](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q6_K.gguf.part5of7) [P6](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q6_K.gguf.part6of7) [P7](https://huggingface.co/mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF/resolve/main/Hermes-3-Llama-3.1-405B.i1-Q6_K.gguf.part7of7) | i1-Q6_K | 333.0 | practically like static Q6_K |

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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

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