Text Generation
Transformers
Safetensors
qwen2
Merge
mergekit
lazymergekit
Qwen/Qwen2-72B-Instruct
cognitivecomputations/dolphin-2.9.2-qwen2-72b
conversational
Eval Results (legacy)
text-generation-inference
Instructions to use paulml/ECE-ILAB-Q1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulml/ECE-ILAB-Q1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="paulml/ECE-ILAB-Q1") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("paulml/ECE-ILAB-Q1") model = AutoModelForCausalLM.from_pretrained("paulml/ECE-ILAB-Q1") 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]:])) - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use paulml/ECE-ILAB-Q1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "paulml/ECE-ILAB-Q1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "paulml/ECE-ILAB-Q1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/paulml/ECE-ILAB-Q1
- SGLang
How to use paulml/ECE-ILAB-Q1 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 "paulml/ECE-ILAB-Q1" \ --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": "paulml/ECE-ILAB-Q1", "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 "paulml/ECE-ILAB-Q1" \ --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": "paulml/ECE-ILAB-Q1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use paulml/ECE-ILAB-Q1 with Docker Model Runner:
docker model run hf.co/paulml/ECE-ILAB-Q1
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merge-qwen2-72B is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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* [Qwen/Qwen2-72B-Instruct](https://huggingface.co/Qwen/Qwen2-72B-Instruct)
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# ECE-ILAB-Q1
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## This model has been produced by :
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- [Louis Garcia](https://www.linkedin.com/in/louis-garcia-profil/), engineering student at [French Engineering School ECE](https://www.ece.fr/en/)
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- [Matthieu Jollard](https://www.linkedin.com/in/matthieu-jollard/), engineering student at [French Engineering School ECE](https://www.ece.fr/en/)
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- [Andre-Louis Rochet](https://www.linkedin.com/in/andrelouisrochet/), Lecturer at ECE & Co-Founder of [TW3 Partners](https://tw3partners.fr/)
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- [Paul Lemaistre](https://www.linkedin.com/in/paul-lemaistre/), CTO of [TW3 Partners](https://tw3partners.fr/)
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## With the contribution of :
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- ECE engineering school as sponsor
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## About ECE
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>_**ECE**, a multi-program, multi-campus, and multi-sector engineering school specializing in digital engineering,
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> trains engineers and technology experts for the 21st century, capable of meeting the challenges of the dual digital and sustainable development revolutions.
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>[French Engineering School ECE](https://www.ece.fr/en/)_
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merge-qwen2-72B is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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* [Qwen/Qwen2-72B-Instruct](https://huggingface.co/Qwen/Qwen2-72B-Instruct)
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