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", device_map="auto")

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

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 / README.md

Commit History

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Commit History

Adding Evaluation Results (#5) 83ac4b2 verified

Update README.md 253ec84 verified

Adding Evaluation Results (#4) 2c6ddf2 verified

Adding Evaluation Results (#3) e63a535

Update README.md d854f62

Update README.md f07c509

Update README.md 8ed1547

Create README.md 8a8a65c

Adding Evaluation Results (#5)

83ac4b2
verified

Update README.md

253ec84
verified

Adding Evaluation Results (#4)

2c6ddf2
verified

Adding Evaluation Results (#3)

e63a535

Update README.md

d854f62

Update README.md

f07c509

Update README.md

8ed1547

Create README.md

8a8a65c