Pygmalion 2 13B SuperCOT Weighed GGUF

🚀 Pygmalion 2 13B SuperCOT Weighed - GGUF

This repository provides GGUF format model files for royallab's Pygmalion 2 13B SuperCOT Weighed, offering various quantization options for different use cases.

✨ Features

• Multiple Quantization Options: Offers a range of quantization methods and bit sizes to balance between model size and quality.
• Wide Compatibility: Compatible with llama.cpp and many third - party UIs and libraries.
• Easy Download: Can be downloaded automatically by several clients or manually using the huggingface-hub library.

📦 Installation

Prerequisites

If you plan to download the model using the command line, you need to install the huggingface-hub Python library:

pip3 install huggingface-hub>=0.17.1

To accelerate downloads on fast connections (1Gbit/s or higher), install hf_transfer:

pip3 install hf_transfer

Downloading the Model

• Using Clients/Libraries: Clients like LM Studio, LoLLMS Web UI, and Faraday.dev will automatically download models for you, providing a list of available models to choose from.
• In text-generation-webui: Under Download Model, enter the model repo TheBloke/Pygmalion-2-13B-SuperCOT-weighed-GGUF and a specific filename to download, such as pygmalion-2-13b-supercot-weighed.q4_K_M.gguf, then click Download.
• On the command line:
  • To download a single model file:

huggingface-cli download TheBloke/Pygmalion-2-13B-SuperCOT-weighed-GGUF pygmalion-2-13b-supercot-weighed.q4_K_M.gguf --local-dir . --local-dir-use-symlinks False

- To download multiple files at once with a pattern:

huggingface-cli download TheBloke/Pygmalion-2-13B-SuperCOT-weighed-GGUF --local-dir . --local-dir-use-symlinks False --include='*Q4_K*gguf'

- To accelerate downloads:

HUGGINGFACE_HUB_ENABLE_HF_TRANSFER=1 huggingface-cli download TheBloke/Pygmalion-2-13B-SuperCOT-weighed-GGUF pygmalion-2-13b-supercot-weighed.q4_K_M.gguf --local-dir . --local-dir-use-symlinks False

Windows CLI users should use set HUGGINGFACE_HUB_ENABLE_HF_TRANSFER=1 before running the download command.

💻 Usage Examples

Example llama.cpp command

Make sure you are using llama.cpp from commit d0cee0d36d5be95a0d9088b674dbb27354107221 or later.

./main -ngl 32 -m pygmalion-2-13b-supercot-weighed.q4_K_M.gguf --color -c 4096 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n{prompt}\n\n### Response:"

• Change -ngl 32 to the number of layers to offload to GPU. Remove it if you don't have GPU acceleration.
• Change -c 4096 to the desired sequence length. For extended sequence models (e.g., 8K, 16K, 32K), the necessary RoPE scaling parameters are read from the GGUF file and set by llama.cpp automatically.
• If you want to have a chat - style conversation, replace the -p <PROMPT> argument with -i -ins

📚 Documentation

About GGUF

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. GGUF offers numerous advantages over GGML, such as better tokenisation, and support for special tokens. It also supports metadata and is designed to be extensible.

Here is an incomplete list of clients and libraries that are known to support GGUF:

• llama.cpp. The source project for GGUF. Offers a CLI and a server option.
• text-generation-webui, the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
• KoboldCpp, a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
• LM Studio, an easy - to - use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration.
• LoLLMS Web UI, a great web UI with many interesting and unique features, including a full model library for easy model selection.
• Faraday.dev, an attractive and easy to use character - based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
• ctransformers, a Python library with GPU accel, LangChain support, and OpenAI - compatible AI server.
• [llama - cpp - python](https://github.com/abetlen/llama - cpp - python), a Python library with GPU accel, LangChain support, and OpenAI - compatible API server.
• candle, a Rust ML framework with a focus on performance, including GPU support, and ease of use.

Repositories available

• AWQ model(s) for GPU inference.
• GPTQ models for GPU inference, with multiple quantisation parameter options.
• 2, 3, 4, 5, 6 and 8 - bit GGUF models for CPU+GPU inference
• royallab's original unquantised fp16 model in pytorch format, for GPU inference and for further conversions

Prompt template: Alpaca

Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
{prompt}

### Response:

Compatibility

These quantised GGUFv2 files are compatible with llama.cpp from August 27th onwards, as of commit d0cee0d36d5be95a0d9088b674dbb27354107221. They are also compatible with many third - party UIs and libraries - please see the list at the top of this README.

Explanation of quantisation methods

Provided files

Note: the above RAM figures assume no GPU offloading. If layers are offloaded to the GPU, this will reduce RAM usage and use VRAM instead.

How to download GGUF files

Note for manual downloaders: You almost never want to clone the entire repo! Multiple different quantisation formats are provided, and most users only want to pick and download a single file.

The following clients/libraries will automatically download models for you, providing a list of available models to choose from:

• LM Studio
• LoLLMS Web UI
• Faraday.dev

In text-generation-webui

Under Download Model, you can enter the model repo: TheBloke/Pygmalion-2-13B-SuperCOT-weighed-GGUF and below it, a specific filename to download, such as: pygmalion-2-13b-supercot-weighed.q4_K_M.gguf. Then click Download.

On the command line, including multiple files at once

I recommend using the huggingface-hub Python library:

pip3 install huggingface-hub>=0.17.1

Then you can download any individual model file to the current directory, at high speed, with a command like this:

huggingface-cli download TheBloke/Pygmalion-2-13B-SuperCOT-weighed-GGUF pygmalion-2-13b-supercot-weighed.q4_K_M.gguf --local-dir . --local-dir-use-symlinks False

huggingface-cli download TheBloke/Pygmalion-2-13B-SuperCOT-weighed-GGUF --local-dir . --local-dir-use-symlinks False --include='*Q4_K*gguf'

pip3 install hf_transfer

HUGGINGFACE_HUB_ENABLE_HF_TRANSFER=1 huggingface-cli download TheBloke/Pygmalion-2-13B-SuperCOT-weighed-GGUF pygmalion-2-13b-supercot-weighed.q4_K_M.gguf --local-dir . --local-dir-use-symlinks False

📄 License

The model is under the llama2 license.