Instructions to use reeducator/vicuna-13b-free with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use reeducator/vicuna-13b-free with Transformers:

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

pipe = pipeline("text-generation", model="reeducator/vicuna-13b-free")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("reeducator/vicuna-13b-free")
model = AutoModelForMultimodalLM.from_pretrained("reeducator/vicuna-13b-free")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use reeducator/vicuna-13b-free with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "reeducator/vicuna-13b-free"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "reeducator/vicuna-13b-free",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/reeducator/vicuna-13b-free

SGLang

How to use reeducator/vicuna-13b-free 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 "reeducator/vicuna-13b-free" \
    --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": "reeducator/vicuna-13b-free",
		"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 "reeducator/vicuna-13b-free" \
        --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": "reeducator/vicuna-13b-free",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use reeducator/vicuna-13b-free with Docker Model Runner:
```
docker model run hf.co/reeducator/vicuna-13b-free
```

Why does it insert so many unsolicited http-links?

by ai2p - opened Apr 15, 2023

Discussion

ai2p

Apr 15, 2023

While original non-free Vicune never gave me any link... Never saw that, at least...

Why such a big difference?

reeducator

Owner Apr 20, 2023

I'm not sure but could have something to do with the fact that many "I'm sorry, but" occurrences where removed from the cleaned dataset. Many of these may have contained refusals to browse the internet, as also pointed out in the dataset README. Maybe it spontaneously also spams more links as as result...

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