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

Libraries

How to use TheBloke/Mistral-7B-OpenOrca-GPTQ with Transformers:

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

pipe = pipeline("text-generation", model="TheBloke/Mistral-7B-OpenOrca-GPTQ")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("TheBloke/Mistral-7B-OpenOrca-GPTQ")
model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-OpenOrca-GPTQ", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use TheBloke/Mistral-7B-OpenOrca-GPTQ with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TheBloke/Mistral-7B-OpenOrca-GPTQ"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TheBloke/Mistral-7B-OpenOrca-GPTQ",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/TheBloke/Mistral-7B-OpenOrca-GPTQ

SGLang

How to use TheBloke/Mistral-7B-OpenOrca-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/Mistral-7B-OpenOrca-GPTQ" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TheBloke/Mistral-7B-OpenOrca-GPTQ",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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/Mistral-7B-OpenOrca-GPTQ" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TheBloke/Mistral-7B-OpenOrca-GPTQ",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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

TypeError: mistral isn't supported yet.

by Ayenem - opened Oct 6, 2023

Discussion

Ayenem

Oct 6, 2023

•

edited Oct 6, 2023

    model = AutoGPTQForCausalLM.from_quantized(
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File ".../auto_gptq/modeling/auto.py", line 87, in from_quantized
    model_type = check_and_get_model_type(model_name_or_path, trust_remote_code)
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File ".../auto_gptq/modeling/_utils.py", line 149, in check_and_get_model_type
    raise TypeError(f"{config.model_type} isn't supported yet.")
TypeError: mistral isn't supported yet.

I followed instructions from https://huggingface.co/TheBloke/Mistral-7B-OpenOrca-GPTQ#how-to-use-this-gptq-model-from-python-code (I tried installations from wheel and from source).
Is mistral not runnable with autoGPTQ yet?

(same problem with https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-GPTQ)

YaTharThShaRma999

Oct 6, 2023

Yeah, it’s not supported with autogptq. You gotta do it with exllama or transformers itself.

Ayenem

Oct 6, 2023

•

edited Oct 6, 2023

Thank you for the reply.
Would you happen to know where I can find instructions for that?

TheBloke

Owner Oct 6, 2023

•

edited Oct 6, 2023

Instructions are in the README - there's a Transformers Python example, and instructions for using text-generation-webui (which supports ExLlama), and Text Generation Inference

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