Instructions to use Theskywalker07/full_model_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Theskywalker07/full_model_1 with Transformers:

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

pipe = pipeline("text-generation", model="Theskywalker07/full_model_1", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("Theskywalker07/full_model_1", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Theskywalker07/full_model_1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Theskywalker07/full_model_1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Theskywalker07/full_model_1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Theskywalker07/full_model_1

SGLang

How to use Theskywalker07/full_model_1 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 "Theskywalker07/full_model_1" \
    --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": "Theskywalker07/full_model_1",
		"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 "Theskywalker07/full_model_1" \
        --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": "Theskywalker07/full_model_1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Theskywalker07/full_model_1 with Docker Model Runner:
```
docker model run hf.co/Theskywalker07/full_model_1
```

full_model_1 / CITATION.cff

Theskywalker07

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d0755b8 verified about 2 months ago

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495 Bytes

	cff-version: 1.2.0
	message: "If you use this model or software, please cite it as below."
	authors:
	- family-names: "Jain"
	given-names: "Soham"
	- family-names: "Singh"
	given-names: "Harsh"
	- family-names: "Dewan"
	given-names: "Divija"
	- family-names: "Dev"
	given-names: "Atul"
	title: "XpertGPT: Mixture of Experts with Parallelized Multi-Scale Information Transmission for Data-Constrained Pretraining"
	year: 2026
	url: "https://huggingface.co/Theskywalker07/full_model_1"