Instructions to use AMT-Studio/StellarAI-1-beta-0.05b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AMT-Studio/StellarAI-1-beta-0.05b with Transformers:

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

pipe = pipeline("text-generation", model="AMT-Studio/StellarAI-1-beta-0.05b", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("AMT-Studio/StellarAI-1-beta-0.05b", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use AMT-Studio/StellarAI-1-beta-0.05b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AMT-Studio/StellarAI-1-beta-0.05b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AMT-Studio/StellarAI-1-beta-0.05b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/AMT-Studio/StellarAI-1-beta-0.05b

SGLang

How to use AMT-Studio/StellarAI-1-beta-0.05b 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 "AMT-Studio/StellarAI-1-beta-0.05b" \
    --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": "AMT-Studio/StellarAI-1-beta-0.05b",
		"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 "AMT-Studio/StellarAI-1-beta-0.05b" \
        --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": "AMT-Studio/StellarAI-1-beta-0.05b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use AMT-Studio/StellarAI-1-beta-0.05b with Docker Model Runner:
```
docker model run hf.co/AMT-Studio/StellarAI-1-beta-0.05b
```

StellarAI-1-beta-0.05b

File size: 1,772 Bytes

bc6e2fd

{
  "name_or_path": "stellarai-tiny",
  "do_lower_case": false,
  "model_max_length": 1024,
  "padding_side": "right",
  "truncation_side": "right",
  "bos_token": "[BOS]",
  "eos_token": "[EOS]",
  "unk_token": "[UNK]",
  "sep_token": "[SEP]",
  "pad_token": "[PAD]",
  "cls_token": "[CLS]",
  "mask_token": "[MASK]",
  "additional_special_tokens": ["[IMG]", "[BOI]", "[EOI]"],
  "strip_accents": false,
  "clean_up_tokenization_spaces": true,
  "comment_tokens": [],
  "added_tokens_decoder": {
    "0":  {"content": "[PAD]",  "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true},
    "1":  {"content": "[BOS]",  "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true},
    "2":  {"content": "[EOS]",  "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true},
    "3":  {"content": "[UNK]",  "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true},
    "4":  {"content": "[MASK]", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true},
    "5":  {"content": "[CLS]",  "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true},
    "6":  {"content": "[SEP]",  "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true},
    "7":  {"content": "[IMG]",  "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true},
    "8":  {"content": "[BOI]",  "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true},
    "9":  {"content": "[EOI]",  "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true}
  }
}