Text Generation
Transformers
Safetensors
English
llama
small
cpu
supra
v4
tiny
mini
open
open-source
text-generation-inference
Instructions to use SupraLabs/Supra-Mini-v4-2M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SupraLabs/Supra-Mini-v4-2M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="SupraLabs/Supra-Mini-v4-2M")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SupraLabs/Supra-Mini-v4-2M") model = AutoModelForCausalLM.from_pretrained("SupraLabs/Supra-Mini-v4-2M") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use SupraLabs/Supra-Mini-v4-2M with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SupraLabs/Supra-Mini-v4-2M" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SupraLabs/Supra-Mini-v4-2M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/SupraLabs/Supra-Mini-v4-2M
- SGLang
How to use SupraLabs/Supra-Mini-v4-2M 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 "SupraLabs/Supra-Mini-v4-2M" \ --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": "SupraLabs/Supra-Mini-v4-2M", "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 "SupraLabs/Supra-Mini-v4-2M" \ --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": "SupraLabs/Supra-Mini-v4-2M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use SupraLabs/Supra-Mini-v4-2M with Docker Model Runner:
docker model run hf.co/SupraLabs/Supra-Mini-v4-2M
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## Examples
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**Prompt:** "Artificial intelligence is "<br>
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**Output:**: *"Artificial intelligence is the idea of the theory that the world has a very high-performance technology, which is also more important to society
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It was just one thing you need to know as many ways to get involved on our planet. So if we did this new approach to AI in science or physics, then I am going to make sure there were no things that really could be done so much like that. But I don't want to take into consideration the way that they might change. That's"*
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<br><br>
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**Prompt:** "The main concept of physics is "<br>
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## Examples
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**Prompt:** "Artificial intelligence is "<br>
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**Output:**: *"Artificial intelligence is the idea of the theory that the world has a very high-performance technology, which is also more important to society’s lives than people who are being able to find their own knowledge and understanding how it can be used for future generations. It would have been an essential step in thinking about what they think about and why they do not work with them.
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It was just one thing you need to know as many ways to get involved on our planet. So if we did this new approach to AI in science or physics, then I am going to make sure there were no things that really could be done so much like that. But I don't want to take into consideration the way that they might change. That's"*
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<br><br>
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**Prompt:** "The main concept of physics is "<br>
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