Llamacpp quants
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ai-modelscope
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README.md
71
README.md
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---
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license: Apache License 2.0
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#model-type:
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##如 gpt、phi、llama、chatglm、baichuan 等
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#- gpt
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#domain:
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##如 nlp、cv、audio、multi-modal
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#- nlp
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#language:
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##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
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#- cn
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#metrics:
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##如 CIDEr、Blue、ROUGE 等
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#- CIDEr
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#tags:
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##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
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#- pretrained
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#tools:
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##如 vllm、fastchat、llamacpp、AdaSeq 等
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#- vllm
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datasets:
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- microsoft/orca-math-word-problems-200k
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license: apache-2.0
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quantized_by: bartowski
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pipeline_tag: text-generation
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---
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### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
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#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型
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SDK下载
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```bash
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#安装ModelScope
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pip install modelscope
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```
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```python
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#SDK模型下载
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from modelscope import snapshot_download
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model_dir = snapshot_download('bartowski/Maverick-Math-7B-GGUF')
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```
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Git下载
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```
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#Git模型下载
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git clone https://www.modelscope.cn/bartowski/Maverick-Math-7B-GGUF.git
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```
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## Llamacpp Quantizations of Maverick-Math-7B
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<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>
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Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2440">b2440</a> for quantization.
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Original model: https://huggingface.co/feeltheAGI/Maverick-Math-7B
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Download a file (not the whole branch) from below:
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| Filename | Quant type | File Size | Description |
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| -------- | ---------- | --------- | ----------- |
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| [Maverick-Math-7B-Q8_0.gguf](https://huggingface.co/bartowski/Maverick-Math-7B-GGUF/blob/main/Maverick-Math-7B-Q8_0.gguf) | Q8_0 | 7.69GB | Extremely high quality, generally unneeded but max available quant. |
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| [Maverick-Math-7B-Q6_K.gguf](https://huggingface.co/bartowski/Maverick-Math-7B-GGUF/blob/main/Maverick-Math-7B-Q6_K.gguf) | Q6_K | 5.94GB | Very high quality, near perfect, *recommended*. |
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| [Maverick-Math-7B-Q5_K_M.gguf](https://huggingface.co/bartowski/Maverick-Math-7B-GGUF/blob/main/Maverick-Math-7B-Q5_K_M.gguf) | Q5_K_M | 5.13GB | High quality, very usable. |
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| [Maverick-Math-7B-Q5_K_S.gguf](https://huggingface.co/bartowski/Maverick-Math-7B-GGUF/blob/main/Maverick-Math-7B-Q5_K_S.gguf) | Q5_K_S | 4.99GB | High quality, very usable. |
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| [Maverick-Math-7B-Q5_0.gguf](https://huggingface.co/bartowski/Maverick-Math-7B-GGUF/blob/main/Maverick-Math-7B-Q5_0.gguf) | Q5_0 | 4.99GB | High quality, older format, generally not recommended. |
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| [Maverick-Math-7B-Q4_K_M.gguf](https://huggingface.co/bartowski/Maverick-Math-7B-GGUF/blob/main/Maverick-Math-7B-Q4_K_M.gguf) | Q4_K_M | 4.36GB | Good quality, similar to 4.25 bpw. |
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| [Maverick-Math-7B-Q4_K_S.gguf](https://huggingface.co/bartowski/Maverick-Math-7B-GGUF/blob/main/Maverick-Math-7B-Q4_K_S.gguf) | Q4_K_S | 4.14GB | Slightly lower quality with small space savings. |
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| [Maverick-Math-7B-Q4_0.gguf](https://huggingface.co/bartowski/Maverick-Math-7B-GGUF/blob/main/Maverick-Math-7B-Q4_0.gguf) | Q4_0 | 4.10GB | Decent quality, older format, generally not recommended. |
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| [Maverick-Math-7B-Q3_K_L.gguf](https://huggingface.co/bartowski/Maverick-Math-7B-GGUF/blob/main/Maverick-Math-7B-Q3_K_L.gguf) | Q3_K_L | 3.82GB | Lower quality but usable, good for low RAM availability. |
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| [Maverick-Math-7B-Q3_K_M.gguf](https://huggingface.co/bartowski/Maverick-Math-7B-GGUF/blob/main/Maverick-Math-7B-Q3_K_M.gguf) | Q3_K_M | 3.51GB | Even lower quality. |
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| [Maverick-Math-7B-Q3_K_S.gguf](https://huggingface.co/bartowski/Maverick-Math-7B-GGUF/blob/main/Maverick-Math-7B-Q3_K_S.gguf) | Q3_K_S | 3.16GB | Low quality, not recommended. |
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| [Maverick-Math-7B-Q2_K.gguf](https://huggingface.co/bartowski/Maverick-Math-7B-GGUF/blob/main/Maverick-Math-7B-Q2_K.gguf) | Q2_K | 2.71GB | Extremely low quality, *not* recommended.
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Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
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