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--- |
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base_model: Nanbeige/Nanbeige2-8B-Chat |
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extra_gated_fields: |
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Affiliation: text |
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Country: text |
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Email: text |
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I agree to the license terms described in the above agreement: checkbox |
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Name: text |
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extra_gated_prompt: |- |
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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) |
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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) |
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language: |
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- en |
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- zh |
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library_name: transformers |
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license: apache-2.0 |
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quantized_by: mradermacher |
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tags: |
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- llm |
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- nanbeige |
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- custom_code |
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--- |
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## About |
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static quants of https://huggingface.co/Nanbeige/Nanbeige2-8B-Chat |
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<!-- provided-files --> |
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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. |
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## Usage |
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If you are unsure how to use GGUF files, refer to one of [TheBloke's |
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READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for |
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more details, including on how to concatenate multi-part files. |
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## Provided Quants |
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(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) |
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| Link | Type | Size/GB | Notes | |
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|:-----|:-----|--------:|:------| |
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| [GGUF](https://huggingface.co/mradermacher/Nanbeige1.5-8B-Chat-GGUF/resolve/main/Nanbeige1.5-8B-Chat.Q2_K.gguf) | Q2_K | 3.3 | | |
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| [GGUF](https://huggingface.co/mradermacher/Nanbeige1.5-8B-Chat-GGUF/resolve/main/Nanbeige1.5-8B-Chat.IQ3_XS.gguf) | IQ3_XS | 3.7 | | |
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| [GGUF](https://huggingface.co/mradermacher/Nanbeige1.5-8B-Chat-GGUF/resolve/main/Nanbeige1.5-8B-Chat.IQ3_S.gguf) | IQ3_S | 3.8 | beats Q3_K* | |
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| [GGUF](https://huggingface.co/mradermacher/Nanbeige1.5-8B-Chat-GGUF/resolve/main/Nanbeige1.5-8B-Chat.Q3_K_S.gguf) | Q3_K_S | 3.8 | | |
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| [GGUF](https://huggingface.co/mradermacher/Nanbeige1.5-8B-Chat-GGUF/resolve/main/Nanbeige1.5-8B-Chat.IQ3_M.gguf) | IQ3_M | 4.0 | | |
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| [GGUF](https://huggingface.co/mradermacher/Nanbeige1.5-8B-Chat-GGUF/resolve/main/Nanbeige1.5-8B-Chat.Q3_K_M.gguf) | Q3_K_M | 4.2 | lower quality | |
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| [GGUF](https://huggingface.co/mradermacher/Nanbeige1.5-8B-Chat-GGUF/resolve/main/Nanbeige1.5-8B-Chat.Q3_K_L.gguf) | Q3_K_L | 4.6 | | |
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| [GGUF](https://huggingface.co/mradermacher/Nanbeige1.5-8B-Chat-GGUF/resolve/main/Nanbeige1.5-8B-Chat.IQ4_XS.gguf) | IQ4_XS | 4.6 | | |
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| [GGUF](https://huggingface.co/mradermacher/Nanbeige1.5-8B-Chat-GGUF/resolve/main/Nanbeige1.5-8B-Chat.Q4_0.gguf) | Q4_0 | 4.8 | fast, low quality | |
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| [GGUF](https://huggingface.co/mradermacher/Nanbeige1.5-8B-Chat-GGUF/resolve/main/Nanbeige1.5-8B-Chat.IQ4_NL.gguf) | IQ4_NL | 4.8 | prefer IQ4_XS | |
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| [GGUF](https://huggingface.co/mradermacher/Nanbeige1.5-8B-Chat-GGUF/resolve/main/Nanbeige1.5-8B-Chat.Q4_K_S.gguf) | Q4_K_S | 4.9 | fast, recommended | |
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| [GGUF](https://huggingface.co/mradermacher/Nanbeige1.5-8B-Chat-GGUF/resolve/main/Nanbeige1.5-8B-Chat.Q4_K_M.gguf) | Q4_K_M | 5.1 | fast, recommended | |
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| [GGUF](https://huggingface.co/mradermacher/Nanbeige1.5-8B-Chat-GGUF/resolve/main/Nanbeige1.5-8B-Chat.Q5_K_S.gguf) | Q5_K_S | 5.8 | | |
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| [GGUF](https://huggingface.co/mradermacher/Nanbeige1.5-8B-Chat-GGUF/resolve/main/Nanbeige1.5-8B-Chat.Q5_K_M.gguf) | Q5_K_M | 5.9 | | |
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| [GGUF](https://huggingface.co/mradermacher/Nanbeige1.5-8B-Chat-GGUF/resolve/main/Nanbeige1.5-8B-Chat.Q6_K.gguf) | Q6_K | 6.8 | very good quality | |
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| [GGUF](https://huggingface.co/mradermacher/Nanbeige1.5-8B-Chat-GGUF/resolve/main/Nanbeige1.5-8B-Chat.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality | |
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Here is a handy graph by ikawrakow comparing some lower-quality quant |
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types (lower is better): |
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And here are Artefact2's thoughts on the matter: |
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https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 |
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## FAQ / Model Request |
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See https://huggingface.co/mradermacher/model_requests for some answers to |
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questions you might have and/or if you want some other model quantized. |
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## Thanks |
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I thank my company, [nethype GmbH](https://www.nethype.de/), for letting |
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me use its servers and providing upgrades to my workstation to enable |
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this work in my free time. |
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