Scaling Diffusion Language Models via Adaptation from Autoregressive Models
Paper • 2410.17891 • Published • 18
How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf QuantFactory/diffullama-GGUF:# Run inference directly in the terminal:
llama-cli -hf QuantFactory/diffullama-GGUF:Use pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf QuantFactory/diffullama-GGUF:# Run inference directly in the terminal:
./llama-cli -hf QuantFactory/diffullama-GGUF:Build from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf QuantFactory/diffullama-GGUF:# Run inference directly in the terminal:
./build/bin/llama-cli -hf QuantFactory/diffullama-GGUF:Use Docker
docker model run hf.co/QuantFactory/diffullama-GGUF:Quick Links
QuantFactory/diffullama-GGUF
This is quantized version of diffusionfamily/diffullama created using llama.cpp
Original Model Card
diffullama
This model is a fine-tuned version of [llama2].
Model description
Details and model loading can be seen https://github.com/HKUNLP/DiffuLLaMA.
Framework versions
- Transformers 4.44.2
- Pytorch 2.1.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
@misc{gong2024scalingdiffusionlanguagemodels,
title={Scaling Diffusion Language Models via Adaptation from Autoregressive Models},
author={Shansan Gong and Shivam Agarwal and Yizhe Zhang and Jiacheng Ye and Lin Zheng and Mukai Li and Chenxin An and Peilin Zhao and Wei Bi and Jiawei Han and Hao Peng and Lingpeng Kong},
year={2024},
eprint={2410.17891},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2410.17891},
}
- Downloads last month
- 280
Hardware compatibility
Log In to add your hardware
2-bit
3-bit
4-bit
5-bit
6-bit
8-bit
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for QuantFactory/diffullama-GGUF
Base model
meta-llama/Llama-2-7b-hf
Install from brew
# Start a local OpenAI-compatible server with a web UI: llama-server -hf QuantFactory/diffullama-GGUF:# Run inference directly in the terminal: llama-cli -hf QuantFactory/diffullama-GGUF: