Instructions to use Charley890/AdaptiveMath with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Charley890/AdaptiveMath with Transformers:

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

pipe = pipeline("text-generation", model="Charley890/AdaptiveMath")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Charley890/AdaptiveMath")
model = AutoModelForCausalLM.from_pretrained("Charley890/AdaptiveMath", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Charley890/AdaptiveMath with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Charley890/AdaptiveMath"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Charley890/AdaptiveMath",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Charley890/AdaptiveMath

SGLang

How to use Charley890/AdaptiveMath 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 "Charley890/AdaptiveMath" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Charley890/AdaptiveMath",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "Charley890/AdaptiveMath" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Charley890/AdaptiveMath",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Charley890/AdaptiveMath with Docker Model Runner:
```
docker model run hf.co/Charley890/AdaptiveMath
```

Charley890 commited on 3 days ago

Commit

30e935b

verified ·

1 Parent(s): 19d1bbe

Update README.md

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@@ -143,4 +143,32 @@ Evaluation performed using **Adaption Labs AutoScientist**
 ✓ Relative Quality Improvement: 82%
 ```

 ✓ Relative Quality Improvement: 82%
 ```
+---
+# 🧠 Mathematical Knowledge
+This model is optimized to solve a broad range of mathematical problems through logical reasoning instead of memorization.
+It performs best when explaining every intermediate step before arriving at the final answer.
+---
+## Supported Topics
+| Category | Examples |
+|-----------|----------|
+| Arithmetic | Addition, Subtraction, Multiplication, Division |
+| Algebra | Linear Equations, Quadratic Equations, Polynomial Factorization |
+| Geometry | Angles, Triangles, Circles, Coordinate Geometry |
+| Calculus | Differentiation, Integration, Limits |
+| Statistics | Mean, Median, Mode, Variance, Standard Deviation |
+| Probability | Conditional Probability, Bayes' Theorem |
+| Number Theory | Prime Numbers, Divisibility, Modular Arithmetic |
+| Trigonometry | Sine, Cosine, Tangent, Identities |
+| Linear Algebra | Matrices, Determinants, Eigenvalues |
+| Logic | Multi-step Mathematical Reasoning |
+| Discrete Mathematics | Graph Theory, Sets, Relations |
+| Numerical Analysis | Approximation Methods |
+| Differential Equations | Ordinary and Partial Differential Equations |