Instructions to use SupraLabs/Supra-50M-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use SupraLabs/Supra-50M-Base with Transformers:

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

pipe = pipeline("text-generation", model="SupraLabs/Supra-50M-Base")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("SupraLabs/Supra-50M-Base")
model = AutoModelForCausalLM.from_pretrained("SupraLabs/Supra-50M-Base", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use SupraLabs/Supra-50M-Base with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "SupraLabs/Supra-50M-Base"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SupraLabs/Supra-50M-Base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/SupraLabs/Supra-50M-Base

SGLang

How to use SupraLabs/Supra-50M-Base 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 "SupraLabs/Supra-50M-Base" \
    --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": "SupraLabs/Supra-50M-Base",
		"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 "SupraLabs/Supra-50M-Base" \
        --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": "SupraLabs/Supra-50M-Base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use SupraLabs/Supra-50M-Base with Docker Model Runner:
```
docker model run hf.co/SupraLabs/Supra-50M-Base
```

AxionLab-official commited on May 27

Commit

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@@ -36,6 +36,35 @@ tags:
 | **PIQA** (logic) | 62.2% | 63.0% | 67.3% | **69.75%** |
 | **HellaSwag** (context) | 31.8% | 29.5% | 42.0% | **46.71%** |
 ![Benchmarks](https://cdn-uploads.huggingface.co/production/uploads/697f2832c2c5e4daa93cece7/tTgsWh576T2sdVzetvZ8C.png)
 ![image](https://cdn-uploads.huggingface.co/production/uploads/697f2832c2c5e4daa93cece7/Jwa95LBR5UgZAuq7IZ4Uu.png)

 | **PIQA** (logic) | 62.2% | 63.0% | 67.3% | **69.75%** |
 | **HellaSwag** (context) | 31.8% | 29.5% | 42.0% | **46.71%** |
+| Task | Metric | Value |
+| :--- | :--- | :---: |
+| arc_easy | acc,none | 0.5185 |
+| arc_easy | acc_stderr,none | 0.0103 |
+| arc_easy | acc_norm,none | 0.4600 |
+| arc_easy | acc_norm_stderr,none | 0.0102 |
+| arc_challenge | acc,none | 0.2159 |
+| arc_challenge | acc_stderr,none | 0.0120 |
+| arc_challenge | acc_norm,none | 0.2517 |
+| arc_challenge | acc_norm_stderr,none | 0.0127 |
+| hellaswag | acc,none | 0.2903 |
+| hellaswag | acc_stderr,none | 0.0045 |
+| hellaswag | acc_norm,none | 0.3172 |
+| hellaswag | acc_norm_stderr,none | 0.0046 |
+| winogrande | acc,none | 0.5154 |
+| winogrande | acc_stderr,none | 0.0140 |
+| piqa | acc,none | 0.6251 |
+| piqa | acc_stderr,none | 0.0113 |
+| piqa | acc_norm,none | 0.6219 |
+| piqa | acc_norm_stderr,none | 0.0113 |
+| openbookqa | acc,none | 0.1860 |
+| openbookqa | acc_stderr,none | 0.0174 |
+| openbookqa | acc_norm,none | 0.3080 |
+| openbookqa | acc_norm_stderr,none | 0.0207 |
+| boolq | acc,none | 0.5303 |
+| boolq | acc_stderr,none | 0.0087 |
 ![Benchmarks](https://cdn-uploads.huggingface.co/production/uploads/697f2832c2c5e4daa93cece7/tTgsWh576T2sdVzetvZ8C.png)
 ![image](https://cdn-uploads.huggingface.co/production/uploads/697f2832c2c5e4daa93cece7/Jwa95LBR5UgZAuq7IZ4Uu.png)