Instructions to use pankajmathur/model_007_13b_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use pankajmathur/model_007_13b_v2 with Transformers:

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

pipe = pipeline("text-generation", model="pankajmathur/model_007_13b_v2")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("pankajmathur/model_007_13b_v2")
model = AutoModelForCausalLM.from_pretrained("pankajmathur/model_007_13b_v2")

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use pankajmathur/model_007_13b_v2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "pankajmathur/model_007_13b_v2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "pankajmathur/model_007_13b_v2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/pankajmathur/model_007_13b_v2

SGLang

How to use pankajmathur/model_007_13b_v2 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/model_007_13b_v2" \
    --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/model_007_13b_v2",
		"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/model_007_13b_v2" \
        --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/model_007_13b_v2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use pankajmathur/model_007_13b_v2 with Docker Model Runner:
```
docker model run hf.co/pankajmathur/model_007_13b_v2
```

model_007_13b_v2

Commit History

Adding Evaluation Results

3975e2c

leaderboard-pr-bot commited on Nov 17, 2023

Update README.md

d854f62

Pankaj Mathur commited on Aug 25, 2023

Update README.md

f07c509

Pankaj Mathur commited on Aug 25, 2023

Update README.md

8ed1547

Pankaj Mathur commited on Aug 25, 2023

Create README.md

8a8a65c

Pankaj Mathur commited on Aug 25, 2023

Initial Commit

1c959d4

pankajmathur commited on Aug 12, 2023

initial commit

307a777

pankajmathur commited on Aug 12, 2023

Commit History

Adding Evaluation Results 3975e2c

Update README.md d854f62

Update README.md f07c509

Update README.md 8ed1547

Create README.md 8a8a65c

Initial Commit 1c959d4

initial commit 307a777

Adding Evaluation Results

3975e2c

Update README.md

d854f62

Update README.md

f07c509

Update README.md

8ed1547

Create README.md

8a8a65c

Initial Commit

1c959d4

initial commit

307a777