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README.md
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README.md
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---
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license: Apache License 2.0
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tags: []
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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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tags:
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- quantized
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- 2-bit
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- 3-bit
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- 4-bit
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- 5-bit
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- 6-bit
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- 8-bit
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- GGUF
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- text-generation
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- text-generation
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model_name: WASSA2024_EmpathyDetection_Chinchunmei_EXP305-GGUF
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base_model: RicardoLee/WASSA2024_EmpathyDetection_Chinchunmei_EXP305
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inference: false
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model_creator: RicardoLee
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pipeline_tag: text-generation
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quantized_by: MaziyarPanahi
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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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# [MaziyarPanahi/WASSA2024_EmpathyDetection_Chinchunmei_EXP305-GGUF](https://huggingface.co/MaziyarPanahi/WASSA2024_EmpathyDetection_Chinchunmei_EXP305-GGUF)
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- Model creator: [RicardoLee](https://huggingface.co/RicardoLee)
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- Original model: [RicardoLee/WASSA2024_EmpathyDetection_Chinchunmei_EXP305](https://huggingface.co/RicardoLee/WASSA2024_EmpathyDetection_Chinchunmei_EXP305)
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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('MaziyarPanahi/WASSA2024_EmpathyDetection_Chinchunmei_EXP305-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/MaziyarPanahi/WASSA2024_EmpathyDetection_Chinchunmei_EXP305-GGUF.git
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```
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## Description
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[MaziyarPanahi/WASSA2024_EmpathyDetection_Chinchunmei_EXP305-GGUF](https://huggingface.co/MaziyarPanahi/WASSA2024_EmpathyDetection_Chinchunmei_EXP305-GGUF) contains GGUF format model files for [RicardoLee/WASSA2024_EmpathyDetection_Chinchunmei_EXP305](https://huggingface.co/RicardoLee/WASSA2024_EmpathyDetection_Chinchunmei_EXP305).
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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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### About GGUF
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GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.
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Here is an incomplete list of clients and libraries that are known to support GGUF:
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* [llama.cpp](https://github.com/ggerganov/llama.cpp). The source project for GGUF. Offers a CLI and a server option.
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* [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
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* [LM Studio](https://lmstudio.ai/), an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration. Linux available, in beta as of 27/11/2023.
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* [text-generation-webui](https://github.com/oobabooga/text-generation-webui), the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
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* [KoboldCpp](https://github.com/LostRuins/koboldcpp), a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
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* [GPT4All](https://gpt4all.io/index.html), a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
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* [LoLLMS Web UI](https://github.com/ParisNeo/lollms-webui), a great web UI with many interesting and unique features, including a full model library for easy model selection.
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* [Faraday.dev](https://faraday.dev/), an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
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* [candle](https://github.com/huggingface/candle), a Rust ML framework with a focus on performance, including GPU support, and ease of use.
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* [ctransformers](https://github.com/marella/ctransformers), a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note, as of time of writing (November 27th 2023), ctransformers has not been updated in a long time and does not support many recent models.
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## Special thanks
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🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible.
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