Instructions to use TroyDoesAI/MermaidMixtral-2x7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TroyDoesAI/MermaidMixtral-2x7b with Transformers:

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

pipe = pipeline("text-generation", model="TroyDoesAI/MermaidMixtral-2x7b")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("TroyDoesAI/MermaidMixtral-2x7b")
model = AutoModelForCausalLM.from_pretrained("TroyDoesAI/MermaidMixtral-2x7b")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use TroyDoesAI/MermaidMixtral-2x7b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TroyDoesAI/MermaidMixtral-2x7b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TroyDoesAI/MermaidMixtral-2x7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/TroyDoesAI/MermaidMixtral-2x7b

SGLang

How to use TroyDoesAI/MermaidMixtral-2x7b 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 "TroyDoesAI/MermaidMixtral-2x7b" \
    --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": "TroyDoesAI/MermaidMixtral-2x7b",
		"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 "TroyDoesAI/MermaidMixtral-2x7b" \
        --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": "TroyDoesAI/MermaidMixtral-2x7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use TroyDoesAI/MermaidMixtral-2x7b with Docker Model Runner:
```
docker model run hf.co/TroyDoesAI/MermaidMixtral-2x7b
```

TroyDoesAI commited on Apr 4, 2024

Commit

2d79df2

verified ·

1 Parent(s): 9b6f3c6

Update README.md

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@@ -73,7 +73,7 @@ graph TB;
 Use my toolkit to inference my model and automate some Knowledge Graphs for your own needs.
 -----
-```mermaid
 Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
 ### Instruction:
@@ -225,6 +225,6 @@ if __name__ == "__main__":
 ### Response:
 ```mermaid
 graph TB;
------
 ![Example Of More Advanced Prompting Of My Model Found here](https://huggingface.co/TroyDoesAI/MermaidMixtral-2x7b/raw/main/Advanced_Prompting_Mermaid.txt)

 Use my toolkit to inference my model and automate some Knowledge Graphs for your own needs.
 -----
 Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
 ### Instruction:
 ### Response:
 ```mermaid
 graph TB;
 ![Example Of More Advanced Prompting Of My Model Found here](https://huggingface.co/TroyDoesAI/MermaidMixtral-2x7b/raw/main/Advanced_Prompting_Mermaid.txt)