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base_model: Nanbeige/Nanbeige-16B-Chat
extra_gated_fields:
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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

static quants of https://huggingface.co/Nanbeige/Nanbeige-16B-Chat

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 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 Q2_K 6.0
GGUF Q3_K_S 7.0
GGUF Q3_K_M 7.8 lower quality
GGUF Q3_K_L 8.6
GGUF IQ4_XS 8.7
GGUF Q4_0_4_4 9.1 fast on arm, low quality
GGUF Q4_K_S 9.2 fast, recommended
GGUF Q4_K_M 9.7 fast, recommended
GGUF Q5_K_S 11.0
GGUF Q5_K_M 11.3
GGUF Q6_K 13.1 very good quality
GGUF Q8_0 16.9 fast, best quality

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

image.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, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.