Instructions to use CalderaAI/30B-Lazarus-GPTQ4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use CalderaAI/30B-Lazarus-GPTQ4bit with Transformers:

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

pipe = pipeline("text-generation", model="CalderaAI/30B-Lazarus-GPTQ4bit")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("CalderaAI/30B-Lazarus-GPTQ4bit")
model = AutoModelForCausalLM.from_pretrained("CalderaAI/30B-Lazarus-GPTQ4bit")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use CalderaAI/30B-Lazarus-GPTQ4bit with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "CalderaAI/30B-Lazarus-GPTQ4bit"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "CalderaAI/30B-Lazarus-GPTQ4bit",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/CalderaAI/30B-Lazarus-GPTQ4bit

SGLang

How to use CalderaAI/30B-Lazarus-GPTQ4bit 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 "CalderaAI/30B-Lazarus-GPTQ4bit" \
    --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": "CalderaAI/30B-Lazarus-GPTQ4bit",
		"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 "CalderaAI/30B-Lazarus-GPTQ4bit" \
        --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": "CalderaAI/30B-Lazarus-GPTQ4bit",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use CalderaAI/30B-Lazarus-GPTQ4bit with Docker Model Runner:
```
docker model run hf.co/CalderaAI/30B-Lazarus-GPTQ4bit
```

Can you please provide the quantize_config.json file?

by ishotoli - opened Jun 9, 2023

Discussion

ishotoli

Jun 9, 2023

I am able to load and run the GPTQ version in the text-generation-webui, but when I try to run lm-evaluation-harness, I receive an error message indicating that the file or directory "quantize_config.json" does not exist. Could you please provide me with this file so that I can perform the necessary testing? Thank you.

Henk717

Caldera AI org Jun 13, 2023

This one is for 0cc4m's KoboldAI fork so we have no quantize_config.json, from the filename I can deduct 4-bit with no groupsize was used if that helps.

Manmax31

Jun 15, 2023

As there is not qunatize_config.json, can you provide us some sample code on how to load it then?

ishotoli

Jun 15, 2023

For example, the quantize_config.json in TheBloke/Nous-Hermes-13B-GPTQ:
{
"bits": 4,
"group_size": 128,
"damp_percent": 0.01,
"desc_act": false,
"sym": true,
"true_sequential": true
}
TheBloke/guanaco-65B-GPTQ:
{
"bits": 4,
"group_size": -1,
"damp_percent": 0.01,
"desc_act": true,
"sym": true,
"true_sequential": true
}
I'm uncertain if this file was manually created or automatically generated using a quantization tool. Thx

cleverest

Jun 15, 2023

Haven't myself, but have you tried this one yet? Mentioned compatible with Text-Generation-UI

https://huggingface.co/Yhyu13/30B-Lazarus-gptq-4bit

cleverest

Jun 16, 2023

^ could not get the above one working either....choose 4 bit, group128 and LLAMA type and I get this when trying to chat:

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment