Instructions to use TheBloke/Llama-2-13B-chat-GPTQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TheBloke/Llama-2-13B-chat-GPTQ with Transformers:

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

pipe = pipeline("text-generation", model="TheBloke/Llama-2-13B-chat-GPTQ")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("TheBloke/Llama-2-13B-chat-GPTQ")
model = AutoModelForMultimodalLM.from_pretrained("TheBloke/Llama-2-13B-chat-GPTQ")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use TheBloke/Llama-2-13B-chat-GPTQ with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TheBloke/Llama-2-13B-chat-GPTQ"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TheBloke/Llama-2-13B-chat-GPTQ",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/TheBloke/Llama-2-13B-chat-GPTQ

SGLang

How to use TheBloke/Llama-2-13B-chat-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 "TheBloke/Llama-2-13B-chat-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": "TheBloke/Llama-2-13B-chat-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 "TheBloke/Llama-2-13B-chat-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": "TheBloke/Llama-2-13B-chat-GPTQ",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use TheBloke/Llama-2-13B-chat-GPTQ with Docker Model Runner:
```
docker model run hf.co/TheBloke/Llama-2-13B-chat-GPTQ
```

Censorship is hilarious

#10

by tea-lover-418 - opened Jul 21, 2023

Discussion

tea-lover-418

Jul 21, 2023

META's paper is all about how censorship did not impact performance. What a joke.

TheBloke

Owner Jul 21, 2023

Haha those are pretty bad. Did you try changing the system message? In my README I gave the one they gave, which is obviously all about being super aligned. But I know text-generation-webui for example has a system message which is just "Answer the question".

I've not played with it much myself yet, but i'm told that prompt engineering can definitely get it a lot less censored.

tea-lover-418

Jul 21, 2023

It's got a custom system message which makes it possible to query company information, which is why i was testing it on the sick leave. Funnily enough this system prompt didn't mention anything about cencorship or being appropriate.

Worked fine on Vicuna-33b, but llama 2 didn't get it lol. Keeping my eye out for future uncensored models.

TheLustriVA

Jul 22, 2023

I've tried a few jailbreaking attempts but I've not had to use them often enough to have strong ones. The censorship would fire off during questions about the Formula 1 2026 rule changes.

We all had a bit of a chuckle, at least.

tea-lover-418 changed discussion status to closed Jul 22, 2023

tea-lover-418 changed discussion status to open Jul 22, 2023

DeziBop

Jul 22, 2023

I've tried a few jailbreaking attempts but I've not had to use them often enough to have strong ones. The censorship would fire off during questions about the Formula 1 2026 rule changes.

We all had a bit of a chuckle, at least.

You got a place where one might find these jailbreaks you speak of?

ZhenyaPav

Jul 23, 2023

I'm using it with SillyTavern, and I don't think I've had it trigger on RP. It does trigger if I order it to write smut in the second message though. Also, I feel like it does try to veer off from NSFW stuff a bit. Hippogriff-30B is much more eager to write smut.

CaptainSonic

Jul 28, 2023

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