Instructions to use TheBloke/Falcon-7B-Instruct-GPTQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TheBloke/Falcon-7B-Instruct-GPTQ with Transformers:

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

pipe = pipeline("text-generation", model="TheBloke/Falcon-7B-Instruct-GPTQ", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("TheBloke/Falcon-7B-Instruct-GPTQ", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use TheBloke/Falcon-7B-Instruct-GPTQ with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TheBloke/Falcon-7B-Instruct-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/Falcon-7B-Instruct-GPTQ",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/TheBloke/Falcon-7B-Instruct-GPTQ

SGLang

How to use TheBloke/Falcon-7B-Instruct-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/Falcon-7B-Instruct-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/Falcon-7B-Instruct-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/Falcon-7B-Instruct-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/Falcon-7B-Instruct-GPTQ",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use TheBloke/Falcon-7B-Instruct-GPTQ with Docker Model Runner:
```
docker model run hf.co/TheBloke/Falcon-7B-Instruct-GPTQ
```

I am using GPU and the following is an error prompt. May I know how to resolve it

#15

by aldennX - opened Aug 5, 2023

Discussion

aldennX

Aug 5, 2023

bin C:\Users\Administrator\Desktop\oobabooga_windows\installer_files\env\lib\site-packages\bitsandbytes\libbitsandbytes_cpu.so
C:\Users\Administrator\Desktop\oobabooga_windows\installer_files\env\lib\site-packages\bitsandbytes\cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.
warn("The installed version of bitsandbytes was compiled without GPU support. "
function 'cadam32bit_grad_fp32' not found
2023-08-05 20:46:42 INFO:Loading the extension "gallery"...
Running on local URL: http://127.0.0.1:7860

To create a public link, set share=True in launch().

TheBloke

Owner Aug 5, 2023

There's no errors there, that's all fine. You can ignore the bitsandbytes messages as you're not using it.

aldennX

Aug 6, 2023

Now there is a new problem, which I have solved.

windows10-CPU

Traceback (most recent call last):
File "C:\Users\Administrator\text-generation-webui\server.py", line 68, in load_model_wrapper
shared.model, shared.tokenizer = load_model(shared.model_name, loader)
File "C:\Users\Administrator\text-generation-webui\modules\models.py", line 78, in load_model
output = load_func_maploader
File "C:\Users\Administrator\text-generation-webui\modules\models.py", line 232, in llamacpp_loader
from modules.llamacpp_model import LlamaCppModel
File "C:\Users\Administrator\text-generation-webui\modules\llamacpp_model.py", line 11, in
import llama_cpp
File "C:\Users\Administrator.conda\envs\textgen\lib\site-packages\llama_cpp_init_.py", line 1, in
from .llama_cpp import *
File "C:\Users\Administrator.conda\envs\textgen\lib\site-packages\llama_cpp\llama_cpp.py", line 1292, in
llama_backend_init(c_bool(False))
File "C:\Users\Administrator.conda\envs\textgen\lib\site-packages\llama_cpp\llama_cpp.py", line 403, in llama_backend_init
return _lib.llama_backend_init(numa)
OSError: [WinError -1073741795] Windows Error 0xc000001d

aldennX changed discussion status to closed Aug 6, 2023

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