Instructions to use prithivMLmods/Deepthink-Reasoning-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use prithivMLmods/Deepthink-Reasoning-7B with Transformers:

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

pipe = pipeline("text-generation", model="prithivMLmods/Deepthink-Reasoning-7B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("prithivMLmods/Deepthink-Reasoning-7B")
model = AutoModelForCausalLM.from_pretrained("prithivMLmods/Deepthink-Reasoning-7B")
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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use prithivMLmods/Deepthink-Reasoning-7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "prithivMLmods/Deepthink-Reasoning-7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "prithivMLmods/Deepthink-Reasoning-7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/prithivMLmods/Deepthink-Reasoning-7B

SGLang

How to use prithivMLmods/Deepthink-Reasoning-7B 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 "prithivMLmods/Deepthink-Reasoning-7B" \
    --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": "prithivMLmods/Deepthink-Reasoning-7B",
		"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 "prithivMLmods/Deepthink-Reasoning-7B" \
        --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": "prithivMLmods/Deepthink-Reasoning-7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use prithivMLmods/Deepthink-Reasoning-7B with Docker Model Runner:
```
docker model run hf.co/prithivMLmods/Deepthink-Reasoning-7B
```

prithivMLmods commited on Dec 28, 2024

Commit

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@@ -63,4 +63,35 @@ generated_ids = [
 response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
 ```

 response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
 ```
+# **Run with Ollama [Ollama Run]**
+Ollama makes running machine learning models simple and efficient. Follow these steps to set up and run your GGUF models quickly.
+## Quick Start: Step-by-Step Guide
+| Step | Description                                     | Command / Instructions                                                                                                                                   |
+|------|-------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
+| 1    | **Install Ollama 🦙**                          | Download Ollama from [https://ollama.com/download](https://ollama.com/download) and install it on your system.                                            |
+| 2    | **Create Your Model File**                     | - Create a file named after your model, e.g., `metallama`.                                                                                               |
+|      |                                                 | - Add the following line to specify the base model:                                                                                                      |
+|      |                                                 |   ```bash                                                                                                                                               |
+|      |                                                 |   FROM Llama-3.2-1B.F16.gguf                                                                                                                            |
+|      |                                                 |   ```                                                                                                                                                   |
+|      |                                                 | - Ensure the base model file is in the same directory.                                                                                                   |
+| 3    | **Create and Patch the Model**                 | Run the following commands to create and verify your model:                                                                                             |
+|      |                                                 | ```bash                                                                                                                                                 |
+|      |                                                 | ollama create metallama -f ./metallama                                                                                                                  |
+|      |                                                 | ollama list                                                                                                                                             |
+|      |                                                 | ```                                                                                                                                                     |
+| 4    | **Run the Model**                              | Use the following command to start your model:                                                                                                          |
+|      |                                                 | ```bash                                                                                                                                                 |
+|      |                                                 | ollama run metallama                                                                                                                                    |
+|      |                                                 | ```                                                                                                                                                     |
+| 5    | **Interact with the Model**                    | Once the model is running, interact with it:                                                                                                            |
+|      |                                                 | ```plaintext                                                                                                                                             |
+|      |                                                 | >>> Tell me about Space X.                                                                                                                              |
+|      |                                                 | Space X, the private aerospace company founded by Elon Musk, is revolutionizing space exploration...                                                    |
+|      |                                                 | ```                                                                                                                                                     |
+## Conclusion
+With Ollama, running and interacting with models is seamless. Start experimenting today!