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--- |
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license: other |
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license_name: codegeex4 |
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license_link: https://huggingface.co/THUDM/codegeex4-all-9b/blob/main/LICENSE |
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language: |
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- zh |
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- en |
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tags: |
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- glm |
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- codegeex |
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- thudm |
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inference: false |
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pipeline_tag: text-generation |
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base_model: THUDM/codegeex4-all-9b |
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--- |
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# MoMonir/codegeex4-all-9b-GGUF |
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This model was converted to GGUF format from [`THUDM/codegeex4-all-9b`](https://huggingface.co/THUDM/codegeex4-all-9b) using llama.cpp. |
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Refer to the [original model card](https://huggingface.co/THUDM/codegeex4-all-9b) for more details on the model. |
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<!-- README_GGUF.md-about-gguf start --> |
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### About GGUF ([TheBloke](https://huggingface.co/TheBloke) Description) |
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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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* [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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* [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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* [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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* [backyard.ai](https://backyard.ai/) (Formeraly [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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* [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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* [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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<!-- README_GGUF.md-about-gguf end --> |
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## Use with llama.cpp |
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Install llama.cpp through brew. |
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```bash |
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brew install ggerganov/ggerganov/llama.cpp |
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``` |
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Invoke the llama.cpp server or the CLI. |
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CLI: |
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```bash |
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llama-cli --hf-repo MoMonir/codegeex4-all-9b-GGUF --model codegeex4-all-9b.Q4_K_M.gguf -p "The meaning to life and the universe is" |
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``` |
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Server: |
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```bash |
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llama-server --hf-repo MoMonir/codegeex4-all-9b-GGUF --model codegeex4-all-9b.Q4_K_M.gguf -c 2048 |
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``` |
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Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. |
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``` |
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git clone https://github.com/ggerganov/llama.cpp && \ |
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cd llama.cpp && \ |
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make && \ |
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./main -m codegeex4-all-9b.Q4_K_M.gguf -n 128 |
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``` |
