Instructions to use NobodyExistsOnTheInternet/bigseek_3p2t with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NobodyExistsOnTheInternet/bigseek_3p2t with Transformers:

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

pipe = pipeline("text-generation", model="NobodyExistsOnTheInternet/bigseek_3p2t")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("NobodyExistsOnTheInternet/bigseek_3p2t")
model = AutoModelForCausalLM.from_pretrained("NobodyExistsOnTheInternet/bigseek_3p2t", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use NobodyExistsOnTheInternet/bigseek_3p2t with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "NobodyExistsOnTheInternet/bigseek_3p2t"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "NobodyExistsOnTheInternet/bigseek_3p2t",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/NobodyExistsOnTheInternet/bigseek_3p2t

SGLang

How to use NobodyExistsOnTheInternet/bigseek_3p2t 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 "NobodyExistsOnTheInternet/bigseek_3p2t" \
    --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": "NobodyExistsOnTheInternet/bigseek_3p2t",
		"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 "NobodyExistsOnTheInternet/bigseek_3p2t" \
        --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": "NobodyExistsOnTheInternet/bigseek_3p2t",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use NobodyExistsOnTheInternet/bigseek_3p2t with Docker Model Runner:
```
docker model run hf.co/NobodyExistsOnTheInternet/bigseek_3p2t
```

bigseek_3p2t / model-00033-layer033-routed-experts.safetensors

NobodyExistsOnTheInternet

Add files using upload-large-folder tool

a67c35d verified 3 months ago

Download

History Blame Contribute Delete

50.7 GB

This file is stored with Xet . It is too big to display, but you can still download it.

Xet Pointer Details

( Raw pointer file )

Xet hash:: 07805b772933d9cd695d1d6c7b099b7d7e01f589c14f89135cdb6a69a0b2f3c6
Size of remote file:: 50.7 GB
SHA256:: 082c032c6db881a536c88d322a3722428e5d9ca9bc6c94fcf511388809b0d485

Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.