Instructions to use Norquinal/Mistral-7B-claude-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Norquinal/Mistral-7B-claude-instruct with Transformers:

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

pipe = pipeline("text-generation", model="Norquinal/Mistral-7B-claude-instruct")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Norquinal/Mistral-7B-claude-instruct")
model = AutoModelForCausalLM.from_pretrained("Norquinal/Mistral-7B-claude-instruct", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Norquinal/Mistral-7B-claude-instruct with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Norquinal/Mistral-7B-claude-instruct

SGLang

How to use Norquinal/Mistral-7B-claude-instruct 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 "Norquinal/Mistral-7B-claude-instruct" \
    --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": "Norquinal/Mistral-7B-claude-instruct",
		"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 "Norquinal/Mistral-7B-claude-instruct" \
        --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": "Norquinal/Mistral-7B-claude-instruct",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Norquinal/Mistral-7B-claude-instruct with Docker Model Runner:
```
docker model run hf.co/Norquinal/Mistral-7B-claude-instruct
```

Norquinal commited on Sep 30, 2023

Commit

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1 Parent(s): 793c181

Update README.md

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@@ -15,6 +15,13 @@ Below is an instruction that describes a task, paired with an input that provide
 ### Response:
 ```
 ## Example Usage
 >\### Instruction:
 >Deconstruct five major technological innovations in 20th and 21st centuries—Internet, personal computing, mobile phones, artificial intelligence, and electric vehicles. For each innovation, provide information on their early origins, key inventors or pioneers, important milestones and breakthroughs, adoption and proliferation into mainstream use, economic effects, societal impact, ethical considerations, and potential future developments. Discuss how these innovations reshaped the way people work, communicate, and live, and explore the synergies or connections among these technologies and the potential for future transformative advancements.

 ### Response:
 ```
+## Use in Text Generation Web UI
+Install the bleeding-edge version of `transformers` from source:
+```
+pip install git+https://github.com/huggingface/transformers
+```
+Or, alternatively, change `model_type` in `config.json` from `mistral` to `llama`.
 ## Example Usage
 >\### Instruction:
 >Deconstruct five major technological innovations in 20th and 21st centuries—Internet, personal computing, mobile phones, artificial intelligence, and electric vehicles. For each innovation, provide information on their early origins, key inventors or pioneers, important milestones and breakthroughs, adoption and proliferation into mainstream use, economic effects, societal impact, ethical considerations, and potential future developments. Discuss how these innovations reshaped the way people work, communicate, and live, and explore the synergies or connections among these technologies and the potential for future transformative advancements.