Instructions to use KiteFishAI/Nano-Math-2B-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use KiteFishAI/Nano-Math-2B-v2 with Transformers:

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

pipe = pipeline("text-generation", model="KiteFishAI/Nano-Math-2B-v2")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("KiteFishAI/Nano-Math-2B-v2")
model = AutoModelForCausalLM.from_pretrained("KiteFishAI/Nano-Math-2B-v2", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use KiteFishAI/Nano-Math-2B-v2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "KiteFishAI/Nano-Math-2B-v2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "KiteFishAI/Nano-Math-2B-v2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/KiteFishAI/Nano-Math-2B-v2

SGLang

How to use KiteFishAI/Nano-Math-2B-v2 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 "KiteFishAI/Nano-Math-2B-v2" \
    --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": "KiteFishAI/Nano-Math-2B-v2",
		"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 "KiteFishAI/Nano-Math-2B-v2" \
        --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": "KiteFishAI/Nano-Math-2B-v2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use KiteFishAI/Nano-Math-2B-v2 with Docker Model Runner:
```
docker model run hf.co/KiteFishAI/Nano-Math-2B-v2
```

anuj0456 commited on 1 day ago

Commit

62c557d

verified ·

1 Parent(s): c6e7474

Update README.md

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README.md +7 -6

README.md CHANGED Viewed

@@ -1,12 +1,13 @@
 ---
 license: mit
 language:
-  - en
 tags:
-  - scientific-language-model
-  - mathematics
-  - arxiv
-  - research
 library_name: transformers
 ---
@@ -128,4 +129,4 @@ If you use this model in your research, please cite:
   eprint={2602.17288},
   archivePrefix={arXiv}
 }
-```

 ---
 license: mit
 language:
+- en
 tags:
+- scientific-language-model
+- mathematics
+- arxiv
+- research
+- math
 library_name: transformers
 ---
   eprint={2602.17288},
   archivePrefix={arXiv}
 }
+```