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---
base_model: Nanbeige/Nanbeige-16B-Chat
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访问此模型需要阅读并同意以下协议[这里](https://github.com/Nanbeige/Nanbeige/blob/main/%E5%8D%97%E5%8C%97%E9%98%81%E5%A4%A7%E8%AF%AD%E8%A8%80%E6%A8%A1%E5%9E%8B%E8%AE%B8%E5%8F%AF%E5%8D%8F%E8%AE%AE.pdf)
Access to this model requires reading and agreeing to the following agreement [here](https://github.com/Nanbeige/Nanbeige/blob/main/License_Agreement_for_Large_Language_Models_Nanbeige.pdf)
language:
- en
- zh
library_name: transformers
license: other
quantized_by: mradermacher
tags:
- llm
- Nanbeige
- custom_code
---
## About
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static quants of https://huggingface.co/Nanbeige/Nanbeige-16B-Chat
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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/Nanbeige-16B-Chat-GGUF/resolve/main/Nanbeige-16B-Chat.Q2_K.gguf) | Q2_K | 6.0 | |
| [GGUF](https://huggingface.co/mradermacher/Nanbeige-16B-Chat-GGUF/resolve/main/Nanbeige-16B-Chat.Q3_K_S.gguf) | Q3_K_S | 7.0 | |
| [GGUF](https://huggingface.co/mradermacher/Nanbeige-16B-Chat-GGUF/resolve/main/Nanbeige-16B-Chat.Q3_K_M.gguf) | Q3_K_M | 7.8 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Nanbeige-16B-Chat-GGUF/resolve/main/Nanbeige-16B-Chat.Q3_K_L.gguf) | Q3_K_L | 8.6 | |
| [GGUF](https://huggingface.co/mradermacher/Nanbeige-16B-Chat-GGUF/resolve/main/Nanbeige-16B-Chat.IQ4_XS.gguf) | IQ4_XS | 8.7 | |
| [GGUF](https://huggingface.co/mradermacher/Nanbeige-16B-Chat-GGUF/resolve/main/Nanbeige-16B-Chat.Q4_0_4_4.gguf) | Q4_0_4_4 | 9.1 | fast on arm, low quality |
| [GGUF](https://huggingface.co/mradermacher/Nanbeige-16B-Chat-GGUF/resolve/main/Nanbeige-16B-Chat.Q4_K_S.gguf) | Q4_K_S | 9.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Nanbeige-16B-Chat-GGUF/resolve/main/Nanbeige-16B-Chat.Q4_K_M.gguf) | Q4_K_M | 9.7 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Nanbeige-16B-Chat-GGUF/resolve/main/Nanbeige-16B-Chat.Q5_K_S.gguf) | Q5_K_S | 11.0 | |
| [GGUF](https://huggingface.co/mradermacher/Nanbeige-16B-Chat-GGUF/resolve/main/Nanbeige-16B-Chat.Q5_K_M.gguf) | Q5_K_M | 11.3 | |
| [GGUF](https://huggingface.co/mradermacher/Nanbeige-16B-Chat-GGUF/resolve/main/Nanbeige-16B-Chat.Q6_K.gguf) | Q6_K | 13.1 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Nanbeige-16B-Chat-GGUF/resolve/main/Nanbeige-16B-Chat.Q8_0.gguf) | Q8_0 | 16.9 | fast, best quality |
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
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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