Instructions to use pankajmathur/orca_mini_v2_13b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use pankajmathur/orca_mini_v2_13b with Transformers:

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

pipe = pipeline("text-generation", model="pankajmathur/orca_mini_v2_13b")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("pankajmathur/orca_mini_v2_13b")
model = AutoModelForCausalLM.from_pretrained("pankajmathur/orca_mini_v2_13b")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use pankajmathur/orca_mini_v2_13b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "pankajmathur/orca_mini_v2_13b"
# 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_mini_v2_13b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/pankajmathur/orca_mini_v2_13b

SGLang

How to use pankajmathur/orca_mini_v2_13b 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_mini_v2_13b" \
    --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_mini_v2_13b",
		"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_mini_v2_13b" \
        --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_mini_v2_13b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use pankajmathur/orca_mini_v2_13b with Docker Model Runner:
```
docker model run hf.co/pankajmathur/orca_mini_v2_13b
```

orca_mini_v2_13b

Commit History

Adding Evaluation Results

4f3fdc6
verified

leaderboard-pr-bot commited on Mar 4, 2024

Update README.md

1058709

psmathur commited on Jul 13, 2023

Update README.md

dacfc88

psmathur commited on Jul 9, 2023

Update README.md

965ed2a

psmathur commited on Jul 9, 2023

Update README.md

36aabdb

psmathur commited on Jul 9, 2023

Update README.md

e8a6b9e

psmathur commited on Jul 9, 2023

Update README.md

1332e7f

psmathur commited on Jul 9, 2023

Create README.md

e918056

psmathur commited on Jul 9, 2023

Initial Commit

628b27f

Eric Hartford commited on Jul 6, 2023

initial commit

1b442dd

pankajmathur commited on Jul 6, 2023

Commit History

Adding Evaluation Results 4f3fdc6 verified

Update README.md 1058709

Update README.md dacfc88

Update README.md 965ed2a

Update README.md 36aabdb

Update README.md e8a6b9e

Update README.md 1332e7f

Create README.md e918056

Initial Commit 628b27f

initial commit 1b442dd

Adding Evaluation Results

4f3fdc6
verified

Update README.md

1058709

Update README.md

dacfc88

Update README.md

965ed2a

Update README.md

36aabdb

Update README.md

e8a6b9e

Update README.md

1332e7f

Create README.md

e918056

Initial Commit

628b27f

initial commit

1b442dd