Instructions to use Tiiny/Bamboo-DPO-v0.1-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tiiny/Bamboo-DPO-v0.1-gguf with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tiiny/Bamboo-DPO-v0.1-gguf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Tiiny/Bamboo-DPO-v0.1-gguf with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Tiiny/Bamboo-DPO-v0.1-gguf:Q4_0 # Run inference directly in the terminal: llama cli -hf Tiiny/Bamboo-DPO-v0.1-gguf:Q4_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Tiiny/Bamboo-DPO-v0.1-gguf:Q4_0 # Run inference directly in the terminal: llama cli -hf Tiiny/Bamboo-DPO-v0.1-gguf:Q4_0
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf Tiiny/Bamboo-DPO-v0.1-gguf:Q4_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf Tiiny/Bamboo-DPO-v0.1-gguf:Q4_0
Use Docker
docker model run hf.co/Tiiny/Bamboo-DPO-v0.1-gguf:Q4_0
- Llama new
- LM Studio
- Jan
- Ollama
How to use Tiiny/Bamboo-DPO-v0.1-gguf with Ollama:
ollama run hf.co/Tiiny/Bamboo-DPO-v0.1-gguf:Q4_0
- Unsloth Desktop
- Docker Model Runner
How to use Tiiny/Bamboo-DPO-v0.1-gguf with Docker Model Runner:
docker model run hf.co/Tiiny/Bamboo-DPO-v0.1-gguf:Q4_0
- Lemonade
How to use Tiiny/Bamboo-DPO-v0.1-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Tiiny/Bamboo-DPO-v0.1-gguf:Q4_0
Run and chat with the model
lemonade run user.Bamboo-DPO-v0.1-gguf-Q4_0
List all available models
lemonade list
- Atomic Chat
Bamboo-DPO-v0.1-PowerInfer-GGUF
- Original model: PowerInfer/Bamboo-DPO-v0_1
- Converted & distributed by: PowerInfer
Citation
Please kindly cite using the following BibTeX:
@misc{bamboo,
title={Bamboo: Harmonizing Sparsity and Performance in Large Language Models},
author={Yixin Song, Haotong Xie, Zeyu Mi, Li Ma, Haibo Chen},
year={2024}
}
- Downloads last month
- 117
Hardware compatibility
Log In to add your hardware
4-bit
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐ Ask for provider support