Instructions to use DrRiceIO7/SmolLM2-1.7B-CPT-Merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use DrRiceIO7/SmolLM2-1.7B-CPT-Merged with Transformers:

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

pipe = pipeline("text-generation", model="DrRiceIO7/SmolLM2-1.7B-CPT-Merged")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("DrRiceIO7/SmolLM2-1.7B-CPT-Merged")
model = AutoModelForCausalLM.from_pretrained("DrRiceIO7/SmolLM2-1.7B-CPT-Merged")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use DrRiceIO7/SmolLM2-1.7B-CPT-Merged with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DrRiceIO7/SmolLM2-1.7B-CPT-Merged"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DrRiceIO7/SmolLM2-1.7B-CPT-Merged",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/DrRiceIO7/SmolLM2-1.7B-CPT-Merged

SGLang

How to use DrRiceIO7/SmolLM2-1.7B-CPT-Merged 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 "DrRiceIO7/SmolLM2-1.7B-CPT-Merged" \
    --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": "DrRiceIO7/SmolLM2-1.7B-CPT-Merged",
		"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 "DrRiceIO7/SmolLM2-1.7B-CPT-Merged" \
        --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": "DrRiceIO7/SmolLM2-1.7B-CPT-Merged",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use DrRiceIO7/SmolLM2-1.7B-CPT-Merged with Docker Model Runner:
```
docker model run hf.co/DrRiceIO7/SmolLM2-1.7B-CPT-Merged
```

This is the version of my model that I did Continued Pre Training on to try and infuse more flavor into it before SFT. It took an obnoxiously long time and I'm not sure how much it helped, if I'm being honest. But here's to learning!

Downloads last month: 3

Safetensors

Model size

2B params

Tensor type

F16

Model tree for DrRiceIO7/SmolLM2-1.7B-CPT-Merged

Base model

HuggingFaceTB/SmolLM2-1.7B

Finetuned

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Finetuned

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Finetunes

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