Instructions to use TheBloke/WizardCoder-Python-34B-V1.0-GPTQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TheBloke/WizardCoder-Python-34B-V1.0-GPTQ with Transformers:

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

pipe = pipeline("text-generation", model="TheBloke/WizardCoder-Python-34B-V1.0-GPTQ")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("TheBloke/WizardCoder-Python-34B-V1.0-GPTQ")
model = AutoModelForCausalLM.from_pretrained("TheBloke/WizardCoder-Python-34B-V1.0-GPTQ")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use TheBloke/WizardCoder-Python-34B-V1.0-GPTQ with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TheBloke/WizardCoder-Python-34B-V1.0-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/WizardCoder-Python-34B-V1.0-GPTQ",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/TheBloke/WizardCoder-Python-34B-V1.0-GPTQ

SGLang

How to use TheBloke/WizardCoder-Python-34B-V1.0-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/WizardCoder-Python-34B-V1.0-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/WizardCoder-Python-34B-V1.0-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/WizardCoder-Python-34B-V1.0-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/WizardCoder-Python-34B-V1.0-GPTQ",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use TheBloke/WizardCoder-Python-34B-V1.0-GPTQ with Docker Model Runner:
```
docker model run hf.co/TheBloke/WizardCoder-Python-34B-V1.0-GPTQ
```

Hello, can u share the script convert GPTQ from fp16?

by lucasjin - opened Aug 31, 2023

Discussion

lucasjin

Aug 31, 2023

I converted an codellama34b model got error, do u got any ideas

TheBloke

Owner Aug 31, 2023

Here: https://github.com/TheBlokeAI/AIScripts/blob/main/quant_autogptq.py

lucasjin

Aug 31, 2023

@TheBloke thank u so much, Did u runned data calibration on quantize with Wizardcode? Which data used here?

If my model trained with Chinese dataset, which data should I use for calibration?

TheBloke

Owner Aug 31, 2023

For coding models I use Evol Instruct Code dataset - you will see code in the script I linked for using this dataset. Just pass --dataset code. Check my "Provided Files" table in the README and you will see it mentions which dataset is used and links to it.

Yes, for a Chinese model I would recommend using a Chinese dataset for calibration.

I don't think it makes a big difference to quantize quality, but it does make some difference. So it is worth using a dataset that is somewhat suitable for your model and its expected use.

lucasjin

Aug 31, 2023

@TheBloke what kind of calibration data is suitable for quantize model.

is that SFT data ok? how many does it need to calibrate good

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