Instructions to use gywy/Mistral-7B-v0.1-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use gywy/Mistral-7B-v0.1-chinese with Transformers:

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

pipe = pipeline("text-generation", model="gywy/Mistral-7B-v0.1-chinese")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("gywy/Mistral-7B-v0.1-chinese")
model = AutoModelForCausalLM.from_pretrained("gywy/Mistral-7B-v0.1-chinese", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use gywy/Mistral-7B-v0.1-chinese with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "gywy/Mistral-7B-v0.1-chinese"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "gywy/Mistral-7B-v0.1-chinese",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/gywy/Mistral-7B-v0.1-chinese

SGLang

How to use gywy/Mistral-7B-v0.1-chinese 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 "gywy/Mistral-7B-v0.1-chinese" \
    --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": "gywy/Mistral-7B-v0.1-chinese",
		"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 "gywy/Mistral-7B-v0.1-chinese" \
        --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": "gywy/Mistral-7B-v0.1-chinese",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use gywy/Mistral-7B-v0.1-chinese with Docker Model Runner:
```
docker model run hf.co/gywy/Mistral-7B-v0.1-chinese
```

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

如果您觉得我们模型不错，就帮我点个小心心给我们鼓励吧！

针对中文进行了扩充词表，添加了加入更强逻辑推理，常识理解能力

How to consume it? Get tips from here: https://huggingface.co/gywy/llama2-13b-chinese-v2

Downloads last month: 52

gywy
/

Mistral-7B-v0.1-chinese

Spaces using gywy/Mistral-7B-v0.1-chinese 2