Llava Llama 3 8b V1 1 GGUF

🚀 MoMonir/llava-llama-3-8b-v1_1-GGUF

This project presents the MoMonir/llava-llama-3-8b-v1_1-GGUF model, which is converted to the GGUF format. It offers a practical solution for image - to - text tasks, leveraging the power of the fine - tuned LLaVA model.

🚀 Quick Start

Download models

# mmproj
wget https://huggingface.co/xtuner/llava-llama-3-8b-v1_1-gguf/resolve/main/llava-llama-3-8b-v1_1-mmproj-f16.gguf

# fp16 llm
wget https://huggingface.co/xtuner/llava-llama-3-8b-v1_1-gguf/resolve/main/llava-llama-3-8b-v1_1-f16.gguf

# int4 llm
wget https://huggingface.co/xtuner/llava-llama-3-8b-v1_1-gguf/resolve/main/llava-llama-3-8b-v1_1-int4.gguf

# (optional) ollama fp16 modelfile
wget https://huggingface.co/xtuner/llava-llama-3-8b-v1_1-gguf/resolve/main/OLLAMA_MODELFILE_F16

# (optional) ollama int4 modelfile
wget https://huggingface.co/xtuner/llava-llama-3-8b-v1_1-gguf/resolve/main/OLLAMA_MODELFILE_INT4

Chat by ollama

# fp16
ollama create llava-llama3-f16 -f ./OLLAMA_MODELFILE_F16
ollama run llava-llama3-f16 "xx.png Describe this image"

# int4
ollama create llava-llama3-int4 -f ./OLLAMA_MODELFILE_INT4
ollama run llava-llama3-int4 "xx.png Describe this image"

Chat by llama.cpp

1. Build llama.cpp (docs).
2. Build ./llava-cli (docs).

Note: llava-llama-3-8b-v1_1 uses the Llama-3-instruct chat template.

# fp16
./llava-cli -m ./llava-llama-3-8b-v1_1-f16.gguf --mmproj ./llava-llama-3-8b-v1_1-mmproj-f16.gguf --image YOUR_IMAGE.jpg -c 4096 -e -p "<|start_header_id|>user<|end_header_id|>\n\n<image>\nDescribe this image<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n"

# int4
./llava-cli -m ./llava-llama-3-8b-v1_1-int4.gguf --mmproj ./llava-llama-3-8b-v1_1-mmproj-f16.gguf --image YOUR_IMAGE.jpg -c 4096 -e -p "<|start_header_id|>user<|end_header_id|>\n\n<image>\nDescribe this image<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n"

Reproduce

Please refer to docs.

✨ Features

• Model Conversion: This model is converted to the GGUF format from xtuner/llava-llama-3-8b-v1_1.
• Fine - Tuned Model: llava-llama-3-8b-v1_1 is a LLaVA model fine - tuned from meta-llama/Meta-Llama-3-8B-Instruct and CLIP-ViT-Large-patch14-336 with ShareGPT4V-PT and InternVL-SFT by XTuner.
• Multiple Resources: It provides multiple resource links, including GitHub, HuggingFace LLaVA format models, and official LLaVA format models.

📦 Installation

The installation mainly involves downloading the model files as shown in the "Quick Start" section.

📚 Documentation

About GGUF (TheBloke Description)

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.

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.
• GPT4All, a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
• LM Studio, 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.
• 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.
• [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.
• 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.

Model Details

Model Comparison Details

Results

🔧 Technical Details

The model is fine - tuned from specific base models with certain datasets, and the GGUF format conversion is based on the llama.cpp team's new standard. The fine - tuning and conversion processes involve specific technical strategies and operations.

📄 License

No license information is provided in the original document.

📖 Citation

@misc{2023xtuner,
    title={XTuner: A Toolkit for Efficiently Fine-tuning LLM},
    author={XTuner Contributors},
    howpublished = {\url{https://github.com/InternLM/xtuner}},
    year={2023}
}