Instructions to use WhirlwindAI/Arithmetic-SLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use WhirlwindAI/Arithmetic-SLM with Transformers:

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

pipe = pipeline("text-generation", model="WhirlwindAI/Arithmetic-SLM", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("WhirlwindAI/Arithmetic-SLM", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use WhirlwindAI/Arithmetic-SLM with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/WhirlwindAI/Arithmetic-SLM

SGLang

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

Docker Model Runner
How to use WhirlwindAI/Arithmetic-SLM with Docker Model Runner:
```
docker model run hf.co/WhirlwindAI/Arithmetic-SLM
```

PhysiQuanty commited on Jul 6

Commit

839399e

verified ·

1 Parent(s): b82b2a5

Update README.md

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README.md +18 -18

README.md CHANGED Viewed

@@ -32,23 +32,6 @@ model-index:
 ![image](https://cdn-uploads.huggingface.co/production/uploads/6975505c60cf607407afe2c0/g4yF4mQR39XYMoUehSTsX.png)
-# Arithmetic-SLM
-Arithmetic-SLM is a small language model specialized for arithmetic continuation. It is designed to be highly efficient on numerical operations with mostly two-digit numbers in patterns such as:
-```text
-a op b op c op d
-```
-where:
-```text
-op = +, -, *, /
-```
-The goal is not to make a general chatbot. The goal is to train a compact model that can learn arithmetic patterns, operator priority, parentheses, and numerical continuation with very few parameters.
 ## Scores
 <div align="center">
@@ -65,7 +48,7 @@ The goal is not to make a general chatbot. The goal is to train a compact model
     <td align="center"><strong>82.08%</strong></td>
   </tr>
   <tr>
-    <td align="center"><code>WhirlwindAI/Arithmetic-SLM</code></td>
     <td align="center">31.70M</td>
     <td align="center"><strong>78.60%</strong></td>
   </tr>
@@ -108,6 +91,23 @@ The goal is not to make a general chatbot. The goal is to train a compact model
 </div>
 ## Calculation Patterns
 ### 1. Single operation

 ![image](https://cdn-uploads.huggingface.co/production/uploads/6975505c60cf607407afe2c0/g4yF4mQR39XYMoUehSTsX.png)
 ## Scores
 <div align="center">
     <td align="center"><strong>82.08%</strong></td>
   </tr>
   <tr>
+    <td align="center"><code>PhysiQuanty/Arithmetic-SLM</code></td>
     <td align="center">31.70M</td>
     <td align="center"><strong>78.60%</strong></td>
   </tr>
 </div>
+# Arithmetic-SLM
+Arithmetic-SLM is a small language model specialized for arithmetic continuation. It is designed to be highly efficient on numerical operations with mostly two-digit numbers in patterns such as:
+```text
+a op b op c op d
+```
+where:
+```text
+op = +, -, *, /
+```
+The goal is not to make a general chatbot. The goal is to train a compact model that can learn arithmetic patterns, operator priority, parentheses, and numerical continuation with very few parameters.
 ## Calculation Patterns
 ### 1. Single operation