Instructions to use prithivMLmods/Tulu-MathLingo-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use prithivMLmods/Tulu-MathLingo-8B with Transformers:

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

pipe = pipeline("text-generation", model="prithivMLmods/Tulu-MathLingo-8B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("prithivMLmods/Tulu-MathLingo-8B")
model = AutoModelForCausalLM.from_pretrained("prithivMLmods/Tulu-MathLingo-8B")
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 prithivMLmods/Tulu-MathLingo-8B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "prithivMLmods/Tulu-MathLingo-8B"
# 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/Tulu-MathLingo-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/prithivMLmods/Tulu-MathLingo-8B

SGLang

How to use prithivMLmods/Tulu-MathLingo-8B 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/Tulu-MathLingo-8B" \
    --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/Tulu-MathLingo-8B",
		"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/Tulu-MathLingo-8B" \
        --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/Tulu-MathLingo-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use prithivMLmods/Tulu-MathLingo-8B with Docker Model Runner:
```
docker model run hf.co/prithivMLmods/Tulu-MathLingo-8B
```

prithivMLmods commited on Dec 24, 2024

Commit

633f667

verified ·

1 Parent(s): 7e8e7ef

Update README.md

Browse files

Files changed (1) hide show

README.md +20 -1

README.md CHANGED Viewed

@@ -16,4 +16,23 @@ tags:
 - llama
 - text-generation-inference
 - math_lingo
----

 - llama
 - text-generation-inference
 - math_lingo
+---
+# Tulu-MathLingo-8B Model Files
+| **File Name**                     | **Size**     | **Description**                                 | **Upload Status** |
+|-----------------------------------|--------------|------------------------------------------------|-------------------|
+| `.gitattributes`                  | 1.57 kB     | Configures LFS tracking for large files.        | Updated           |
+| `README.md`                       | 292 Bytes   | Basic details about the uploaded model.         | Updated           |
+| `config.json`                     | 988 Bytes   | Contains model architecture and metadata.       | Uploaded          |
+| `generation_config.json`          | 241 Bytes   | Parameters for text generation (e.g., length, temperature). | Uploaded          |
+| `model-00001-of-00004.safetensors`| 4.98 GB     | Part 1 of model weights.                        | Uploaded (LFS)    |
+| `model-00002-of-00004.safetensors`| 5 GB        | Part 2 of model weights.                        | Uploaded (LFS)    |
+| `model-00003-of-00004.safetensors`| 4.92 GB     | Part 3 of model weights.                        | Uploaded (LFS)    |
+| `model-00004-of-00004.safetensors`| 1.17 GB     | Part 4 of model weights.                        | Uploaded (LFS)    |
+| `model.safetensors.index.json`    | 25.4 kB     | Index file for multi-part model weights.        | Uploaded          |
+| `special_tokens_map.json`         | 462 Bytes   | Maps special tokens (e.g., `<PAD>`, `<EOS>`).   | Uploaded          |
+| `tokenizer.json`                  | 17.2 MB     | Full tokenizer configuration.                   | Uploaded (LFS)    |
+| `tokenizer_config.json`           | 57.6 kB     | Metadata for tokenizer usage.                   | Uploaded          |
+---