Instructions to use AxionLab-official/DogeAI-v1.0-Instruct-DISCONTINUED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AxionLab-official/DogeAI-v1.0-Instruct-DISCONTINUED with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-270m-it")
model = PeftModel.from_pretrained(base_model, "AxionLab-official/DogeAI-v1.0-Instruct-DISCONTINUED")

Transformers

How to use AxionLab-official/DogeAI-v1.0-Instruct-DISCONTINUED with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="AxionLab-official/DogeAI-v1.0-Instruct-DISCONTINUED")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("AxionLab-official/DogeAI-v1.0-Instruct-DISCONTINUED", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use AxionLab-official/DogeAI-v1.0-Instruct-DISCONTINUED with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AxionLab-official/DogeAI-v1.0-Instruct-DISCONTINUED"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AxionLab-official/DogeAI-v1.0-Instruct-DISCONTINUED",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/AxionLab-official/DogeAI-v1.0-Instruct-DISCONTINUED

SGLang

How to use AxionLab-official/DogeAI-v1.0-Instruct-DISCONTINUED with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "AxionLab-official/DogeAI-v1.0-Instruct-DISCONTINUED" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AxionLab-official/DogeAI-v1.0-Instruct-DISCONTINUED",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "AxionLab-official/DogeAI-v1.0-Instruct-DISCONTINUED" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AxionLab-official/DogeAI-v1.0-Instruct-DISCONTINUED",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use AxionLab-official/DogeAI-v1.0-Instruct-DISCONTINUED with Docker Model Runner:
```
docker model run hf.co/AxionLab-official/DogeAI-v1.0-Instruct-DISCONTINUED
```

🧠 MODEL CARD — DogeAI-v1.0-instruct Model Details

Model Description DogeAI-v1.0-instruct is an early-stage instruction-following language model fine-tuned for conversational use and experimentation. This version is intended as a proof of concept (v1) and focuses on language generation rather than reliable logical reasoning.

THIS MODEL IS DISCONTINUED. USE THE LATEST VERSIONS TO ADQUIRE BETTER RESPONSES AND BETTER ARCHITECTURE

Downloads last month: 4

Model tree for AxionLab-official/DogeAI-v1.0-Instruct-DISCONTINUED

Base model

google/gemma-3-270m

Finetuned

google/gemma-3-270m-it

Adapter

(60)

this model