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 AxionLab-Co/DogeAI-v2.1-BaseThink-GGUF:# Run inference directly in the terminal:
llama-cli -hf AxionLab-Co/DogeAI-v2.1-BaseThink-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 AxionLab-Co/DogeAI-v2.1-BaseThink-GGUF:# Run inference directly in the terminal:
./llama-cli -hf AxionLab-Co/DogeAI-v2.1-BaseThink-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 AxionLab-Co/DogeAI-v2.1-BaseThink-GGUF:# Run inference directly in the terminal:
./build/bin/llama-cli -hf AxionLab-Co/DogeAI-v2.1-BaseThink-GGUF:Use Docker
docker model run hf.co/AxionLab-Co/DogeAI-v2.1-BaseThink-GGUF:Quick Links
DogeAI-v2.1-BaseThink-GGUF : GGUF
This model was finetuned and converted to GGUF format using Unsloth.
Example usage:
- For text only LLMs:
./llama.cpp/llama-cli -hf AxionLab-Co/DogeAI-v2.1-BaseThink-GGUF --jinja - For multimodal models:
./llama.cpp/llama-mtmd-cli -hf AxionLab-Co/DogeAI-v2.1-BaseThink-GGUF --jinja
Available Model files:
Qwen3-1.7B-Base.Q5_K_M.ggufQwen3-1.7B-Base.Q8_0.ggufQwen3-1.7B-Base.Q4_K_M.ggufThis was trained 2x faster with Unsloth
- Downloads last month
- 60
Hardware compatibility
Log In to add your hardware
4-bit
5-bit
8-bit
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Install from brew
# Start a local OpenAI-compatible server with a web UI: llama-server -hf AxionLab-Co/DogeAI-v2.1-BaseThink-GGUF:# Run inference directly in the terminal: llama-cli -hf AxionLab-Co/DogeAI-v2.1-BaseThink-GGUF: