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---
base_model: Joseph717171/Hermes-2-Pro-Mistral-10.7B
datasets:
- teknium/OpenHermes-2.5
language:
- en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
- mergekit
- merge
- Mistral
- instruct
- finetune
- chatml
- DPO
- RLHF
- gpt4
- synthetic data
- distillation
- function calling
- json mode
---
## About
static quants of https://huggingface.co/Joseph717171/Hermes-2-Pro-Mistral-10.7B
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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 |
|:-----|:-----|--------:|:------|
| [GGUF](https://huggingface.co/mradermacher/Hermes-2-Pro-Mistral-10.7B-GGUF/resolve/main/Hermes-2-Pro-Mistral-10.7B.Q2_K.gguf) | Q2_K | 4.3 | |
| [GGUF](https://huggingface.co/mradermacher/Hermes-2-Pro-Mistral-10.7B-GGUF/resolve/main/Hermes-2-Pro-Mistral-10.7B.IQ3_XS.gguf) | IQ3_XS | 4.7 | |
| [GGUF](https://huggingface.co/mradermacher/Hermes-2-Pro-Mistral-10.7B-GGUF/resolve/main/Hermes-2-Pro-Mistral-10.7B.Q3_K_S.gguf) | Q3_K_S | 4.9 | |
| [GGUF](https://huggingface.co/mradermacher/Hermes-2-Pro-Mistral-10.7B-GGUF/resolve/main/Hermes-2-Pro-Mistral-10.7B.IQ3_S.gguf) | IQ3_S | 4.9 | beats Q3_K* |
| [GGUF](https://huggingface.co/mradermacher/Hermes-2-Pro-Mistral-10.7B-GGUF/resolve/main/Hermes-2-Pro-Mistral-10.7B.IQ3_M.gguf) | IQ3_M | 5.1 | |
| [GGUF](https://huggingface.co/mradermacher/Hermes-2-Pro-Mistral-10.7B-GGUF/resolve/main/Hermes-2-Pro-Mistral-10.7B.Q3_K_M.gguf) | Q3_K_M | 5.5 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Hermes-2-Pro-Mistral-10.7B-GGUF/resolve/main/Hermes-2-Pro-Mistral-10.7B.Q3_K_L.gguf) | Q3_K_L | 5.9 | |
| [GGUF](https://huggingface.co/mradermacher/Hermes-2-Pro-Mistral-10.7B-GGUF/resolve/main/Hermes-2-Pro-Mistral-10.7B.IQ4_XS.gguf) | IQ4_XS | 6.1 | |
| [GGUF](https://huggingface.co/mradermacher/Hermes-2-Pro-Mistral-10.7B-GGUF/resolve/main/Hermes-2-Pro-Mistral-10.7B.Q4_K_S.gguf) | Q4_K_S | 6.4 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Hermes-2-Pro-Mistral-10.7B-GGUF/resolve/main/Hermes-2-Pro-Mistral-10.7B.Q4_K_M.gguf) | Q4_K_M | 6.7 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Hermes-2-Pro-Mistral-10.7B-GGUF/resolve/main/Hermes-2-Pro-Mistral-10.7B.Q5_K_S.gguf) | Q5_K_S | 7.7 | |
| [GGUF](https://huggingface.co/mradermacher/Hermes-2-Pro-Mistral-10.7B-GGUF/resolve/main/Hermes-2-Pro-Mistral-10.7B.Q5_K_M.gguf) | Q5_K_M | 7.9 | |
| [GGUF](https://huggingface.co/mradermacher/Hermes-2-Pro-Mistral-10.7B-GGUF/resolve/main/Hermes-2-Pro-Mistral-10.7B.Q6_K.gguf) | Q6_K | 9.1 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Hermes-2-Pro-Mistral-10.7B-GGUF/resolve/main/Hermes-2-Pro-Mistral-10.7B.Q8_0.gguf) | Q8_0 | 11.6 | 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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