Instructions to use pankajmathur/orca_mini_v3_7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use pankajmathur/orca_mini_v3_7b with Transformers:

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

pipe = pipeline("text-generation", model="pankajmathur/orca_mini_v3_7b")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("pankajmathur/orca_mini_v3_7b")
model = AutoModelForCausalLM.from_pretrained("pankajmathur/orca_mini_v3_7b")

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use pankajmathur/orca_mini_v3_7b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "pankajmathur/orca_mini_v3_7b"
# 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_v3_7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/pankajmathur/orca_mini_v3_7b

SGLang

How to use pankajmathur/orca_mini_v3_7b 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_v3_7b" \
    --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_v3_7b",
		"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_v3_7b" \
        --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_v3_7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use pankajmathur/orca_mini_v3_7b with Docker Model Runner:
```
docker model run hf.co/pankajmathur/orca_mini_v3_7b
```

orca_mini_v3_7b

Commit History

Adding `safetensors` variant of this model (#8)

0cbb2b5
verified

pankajmathur

SFconvertbot commited on Jan 29, 2025

Adding Evaluation Results (#7)

fe1953e
verified

pankajmathur

leaderboard-pr-bot commited on Jul 20, 2024

Adding Evaluation Results (#6)

6252eb7
verified

pankajmathur

leaderboard-pr-bot commited on Mar 4, 2024

Adding Evaluation Results (#5)

7b2f814

pankajmathur

leaderboard-pr-bot commited on Nov 18, 2023

Update README.md

f9849ea

Pankaj Mathur commited on Aug 25, 2023

Update README.md

21ef508

Pankaj Mathur commited on Aug 18, 2023

Upload orca_minis_small.jpeg

373e60f

Pankaj Mathur commited on Aug 18, 2023

Delete orca_minis.jpeg

31b5c70

Pankaj Mathur commited on Aug 18, 2023

Upload orca_minis.jpeg

8b2c889

Pankaj Mathur commited on Aug 18, 2023

Update README.md

0419bd9

Pankaj Mathur commited on Aug 16, 2023

Update README.md

d5fe5f3

Pankaj Mathur commited on Aug 16, 2023

Update README.md

a1583d2

Pankaj Mathur commited on Aug 15, 2023

Update README.md

05600c0

Pankaj Mathur commited on Aug 15, 2023