Instructions to use Rohithoctacter/pega-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Rohithoctacter/pega-8B with Transformers:

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

pipe = pipeline("text-generation", model="Rohithoctacter/pega-8B", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("Rohithoctacter/pega-8B", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Rohithoctacter/pega-8B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Rohithoctacter/pega-8B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Rohithoctacter/pega-8B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Rohithoctacter/pega-8B

SGLang

How to use Rohithoctacter/pega-8B 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 "Rohithoctacter/pega-8B" \
    --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": "Rohithoctacter/pega-8B",
		"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 "Rohithoctacter/pega-8B" \
        --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": "Rohithoctacter/pega-8B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Rohithoctacter/pega-8B with Docker Model Runner:
```
docker model run hf.co/Rohithoctacter/pega-8B
```

pega-8B

Commit History

Update config.json

8ae57af
verified

Tonyshah commited on Feb 17, 2025

Upload FalconForCausalLM

3bea61f
verified

Tonyshah commited on Feb 17, 2025

initial commit

4f5113c
verified

Tonyshah commited on Feb 17, 2025

Commit History

Update config.json 8ae57af verified

Upload FalconForCausalLM 3bea61f verified

initial commit 4f5113c verified

Update config.json

8ae57af
verified

Upload FalconForCausalLM

3bea61f
verified

initial commit

4f5113c
verified