Instructions to use pankajmathur/orca_dolly_3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use pankajmathur/orca_dolly_3b with Transformers:

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

pipe = pipeline("text-generation", model="pankajmathur/orca_dolly_3b")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("pankajmathur/orca_dolly_3b")
model = AutoModelForCausalLM.from_pretrained("pankajmathur/orca_dolly_3b", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use pankajmathur/orca_dolly_3b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "pankajmathur/orca_dolly_3b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "pankajmathur/orca_dolly_3b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/pankajmathur/orca_dolly_3b

SGLang

How to use pankajmathur/orca_dolly_3b 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 "pankajmathur/orca_dolly_3b" \
    --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": "pankajmathur/orca_dolly_3b",
		"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 "pankajmathur/orca_dolly_3b" \
        --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": "pankajmathur/orca_dolly_3b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use pankajmathur/orca_dolly_3b with Docker Model Runner:
```
docker model run hf.co/pankajmathur/orca_dolly_3b
```

orca_dolly_3b

Commit History

Adding `safetensors` variant of this model (#1)

9b024bb
verified

pankajmathur

SFconvertbot commited on Jun 12, 2025

Update README.md

30f21fc

psmathur commited on Jun 26, 2023

Update README.md

5a3a598

psmathur commited on Jun 25, 2023

Initial Commit

9b64ff6

pankajmathur commited on Jun 19, 2023

initial commit

a2fe339

pankajmathur commited on Jun 19, 2023

Commit History

Adding `safetensors` variant of this model (#1) 9b024bb verified

Update README.md 30f21fc

Update README.md 5a3a598

Initial Commit 9b64ff6

initial commit a2fe339

Adding `safetensors` variant of this model (#1)

9b024bb
verified

Update README.md

30f21fc

Update README.md

5a3a598

Initial Commit

9b64ff6

initial commit

a2fe339