Text Generation
Transformers
PyTorch
Safetensors
English
llama
trl
ollama
llama-cpp
math
instruct
conversational
text-generation-inference
Instructions to use prithivMLmods/SmolLM2-Math-IIO-1.7B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/SmolLM2-Math-IIO-1.7B-Instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="prithivMLmods/SmolLM2-Math-IIO-1.7B-Instruct") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("prithivMLmods/SmolLM2-Math-IIO-1.7B-Instruct") model = AutoModelForCausalLM.from_pretrained("prithivMLmods/SmolLM2-Math-IIO-1.7B-Instruct") 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
- vLLM
How to use prithivMLmods/SmolLM2-Math-IIO-1.7B-Instruct with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "prithivMLmods/SmolLM2-Math-IIO-1.7B-Instruct" # 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/SmolLM2-Math-IIO-1.7B-Instruct", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/prithivMLmods/SmolLM2-Math-IIO-1.7B-Instruct
- SGLang
How to use prithivMLmods/SmolLM2-Math-IIO-1.7B-Instruct 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/SmolLM2-Math-IIO-1.7B-Instruct" \ --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/SmolLM2-Math-IIO-1.7B-Instruct", "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/SmolLM2-Math-IIO-1.7B-Instruct" \ --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/SmolLM2-Math-IIO-1.7B-Instruct", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use prithivMLmods/SmolLM2-Math-IIO-1.7B-Instruct with Docker Model Runner:
docker model run hf.co/prithivMLmods/SmolLM2-Math-IIO-1.7B-Instruct
Update README.md
Browse files
README.md
CHANGED
|
@@ -17,4 +17,21 @@ tags:
|
|
| 17 |
- llama-cpp
|
| 18 |
- math
|
| 19 |
- instruct
|
| 20 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 17 |
- llama-cpp
|
| 18 |
- math
|
| 19 |
- instruct
|
| 20 |
+
---
|
| 21 |
+
|
| 22 |
+
### SmolLM2-Math-IIO-1.7B-Instruct
|
| 23 |
+
|
| 24 |
+
| File Name | Size | Description | Upload Status |
|
| 25 |
+
|----------------------------------------|------------|------------------------------------------------|----------------|
|
| 26 |
+
| `.gitattributes` | 1.52 kB | Git attributes configuration file | Uploaded |
|
| 27 |
+
| `README.md` | 287 Bytes | Updated README file | Updated |
|
| 28 |
+
| `config.json` | 940 Bytes | Model configuration settings | Uploaded |
|
| 29 |
+
| `generation_config.json` | 162 Bytes | Generation-specific configurations | Uploaded |
|
| 30 |
+
| `merges.txt` | 515 kB | Merging information for tokenization | Uploaded |
|
| 31 |
+
| `pytorch_model.bin` | 3.42 GB | Full model weights (PyTorch format) | Uploaded (LFS) |
|
| 32 |
+
| `special_tokens_map.json` | 572 Bytes | Mapping for special tokens used by the model | Uploaded |
|
| 33 |
+
| `tokenizer.json` | 3.77 MB | Tokenizer configuration and vocabulary | Uploaded |
|
| 34 |
+
| `tokenizer_config.json` | 3.95 kB | Tokenizer configuration for loading and usage | Uploaded |
|
| 35 |
+
| `vocab.json` | 801 kB | Vocabulary for the tokenizer | Uploaded |
|
| 36 |
+
|
| 37 |
+
---
|