Instructions to use Chat-Error/Pygboros-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Chat-Error/Pygboros-7B with Transformers:

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

pipe = pipeline("text-generation", model="Chat-Error/Pygboros-7B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Chat-Error/Pygboros-7B")
model = AutoModelForCausalLM.from_pretrained("Chat-Error/Pygboros-7B")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Chat-Error/Pygboros-7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Chat-Error/Pygboros-7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Chat-Error/Pygboros-7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Chat-Error/Pygboros-7B

SGLang

How to use Chat-Error/Pygboros-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 "Chat-Error/Pygboros-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": "Chat-Error/Pygboros-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 "Chat-Error/Pygboros-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": "Chat-Error/Pygboros-7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Chat-Error/Pygboros-7B with Docker Model Runner:
```
docker model run hf.co/Chat-Error/Pygboros-7B
```

Pygboros-7B

Commit History

Upload 17 files

994d14d

Phương commited on Jun 8, 2023

Update config.json

6abd362

Phương commited on Jun 8, 2023

Upload 13 files

389f4b0

Phương commited on Jun 7, 2023

initial commit

2594867

Phương commited on Jun 7, 2023

Commit History

Upload 17 files 994d14d

Update config.json 6abd362

Upload 13 files 389f4b0

initial commit 2594867

Upload 17 files

994d14d

Update config.json

6abd362

Upload 13 files

389f4b0

initial commit

2594867