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

Libraries

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

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

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

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("KiteFishAI/Minnow-Math-2B")
model = AutoModelForCausalLM.from_pretrained("KiteFishAI/Minnow-Math-2B")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

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

Install from pip and serve model

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

Use Docker

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

SGLang

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

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

anuj0456 commited on Feb 9

Commit

40e0f0c

1 Parent(s): c9f8a72

README.md updated

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@@ -1,3 +1,18 @@
 # 🐟 Math-A1-2B
 **Math-A1-2B** is a 2B-parameter language model by **Kitefish**, focused on mathematical reasoning, symbolic understanding, and structured problem solving.

+---
+language:
+- en
+license: apache-2.0
+tags:
+- math
+- reasoning
+- mathematics
+- causal-lm
+- text-generation
+library_name: transformers
+pipeline_tag: text-generation
+model_name: Math-A1-2B
+---
 # 🐟 Math-A1-2B
 **Math-A1-2B** is a 2B-parameter language model by **Kitefish**, focused on mathematical reasoning, symbolic understanding, and structured problem solving.