Instructions to use TechxGenus/Yi-9B-GPTQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TechxGenus/Yi-9B-GPTQ with Transformers:

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

pipe = pipeline("text-generation", model="TechxGenus/Yi-9B-GPTQ")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("TechxGenus/Yi-9B-GPTQ")
model = AutoModelForCausalLM.from_pretrained("TechxGenus/Yi-9B-GPTQ")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use TechxGenus/Yi-9B-GPTQ with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TechxGenus/Yi-9B-GPTQ"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TechxGenus/Yi-9B-GPTQ",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/TechxGenus/Yi-9B-GPTQ

SGLang

How to use TechxGenus/Yi-9B-GPTQ 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 "TechxGenus/Yi-9B-GPTQ" \
    --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": "TechxGenus/Yi-9B-GPTQ",
		"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 "TechxGenus/Yi-9B-GPTQ" \
        --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": "TechxGenus/Yi-9B-GPTQ",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use TechxGenus/Yi-9B-GPTQ with Docker Model Runner:
```
docker model run hf.co/TechxGenus/Yi-9B-GPTQ
```

Yi-9B-GPTQ

Commit History

Update README.md with license information (#1)

b3d86f1
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TechxGenus

Chen-01AI commited on Jun 25, 2024

Upload folder using huggingface_hub

98f64c3
verified

TechxGenus commited on Mar 12, 2024

initial commit

5c33449
verified

TechxGenus commited on Mar 12, 2024

Commit History

Update README.md with license information (#1) b3d86f1 verified

Upload folder using huggingface_hub 98f64c3 verified

initial commit 5c33449 verified

Update README.md with license information (#1)

b3d86f1
verified

Upload folder using huggingface_hub

98f64c3
verified

initial commit

5c33449
verified