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--- |
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base_model: UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3 |
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datasets: |
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- openbmb/UltraFeedback |
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language: |
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- en |
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license: apache-2.0 |
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pipeline_tag: text-generation |
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tags: |
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- llama-cpp |
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- gguf-my-repo |
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--- |
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Greetings friends, Asalamu Alaikum; I am pleased to provide you with GGUF vresions of this great model! The original model is: [Llama-3-Instruct-8B-SPPO-Iter3](https://huggingface.co/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3) by [UCLA-AGI/](https://huggingface.co/UCLA-AGI) |
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--- |
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<!-- description start --> |
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## Description (per [TheBloke](https://huggingface.co/TheBloke)) |
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This repo contains GGUF format model files. |
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These files were quantised using ggml-org/gguf-my-repo [https://huggingface.co/spaces/ggml-org/gguf-my-repo] |
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<!-- description end --> |
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<!-- README_GGUF.md-about-gguf start --> |
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### About GGUF (per [TheBloke](https://huggingface.co/TheBloke)) |
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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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* [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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<!-- repositories-available start --> |
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--- |
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--- |
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# BenevolenceMessiah/Llama-3-Instruct-8B-SPPO-Iter3-Q8_0-GGUF |
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This model was converted to GGUF format from [`UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3`](https://huggingface.co/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. |
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Refer to the [original model card](https://huggingface.co/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3) for more details on the model. |
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## Use with llama.cpp |
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Install llama.cpp through brew (works on Mac and Linux) |
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```bash |
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brew install 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 BenevolenceMessiah/Llama-3-Instruct-8B-SPPO-Iter3-Q8_0-GGUF --hf-file llama-3-instruct-8b-sppo-iter3-q8_0.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 BenevolenceMessiah/Llama-3-Instruct-8B-SPPO-Iter3-Q8_0-GGUF --hf-file llama-3-instruct-8b-sppo-iter3-q8_0.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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Step 1: Clone llama.cpp from GitHub. |
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``` |
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git clone https://github.com/ggerganov/llama.cpp |
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``` |
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Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux). |
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``` |
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cd llama.cpp && LLAMA_CURL=1 make |
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``` |
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Step 3: Run inference through the main binary. |
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``` |
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./llama-cli --hf-repo BenevolenceMessiah/Llama-3-Instruct-8B-SPPO-Iter3-Q8_0-GGUF --hf-file llama-3-instruct-8b-sppo-iter3-q8_0.gguf -p "The meaning to life and the universe is" |
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``` |
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or |
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``` |
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./llama-server --hf-repo BenevolenceMessiah/Llama-3-Instruct-8B-SPPO-Iter3-Q8_0-GGUF --hf-file llama-3-instruct-8b-sppo-iter3-q8_0.gguf -c 2048 |
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``` |
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