How to use from the
Use from the
llama-cpp-python library
# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="AxionLab-Co/DogeAI-v2.1-BaseThink-GGUF",
	filename="",
)
llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

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.gguf
  • Qwen3-1.7B-Base.Q8_0.gguf
  • Qwen3-1.7B-Base.Q4_K_M.gguf This was trained 2x faster with Unsloth
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GGUF
Model size
2B params
Architecture
qwen3
Hardware compatibility
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