Instructions to use speakleash/Bielik-11B-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use speakleash/Bielik-11B-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="speakleash/Bielik-11B-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("speakleash/Bielik-11B-v2") model = AutoModelForCausalLM.from_pretrained("speakleash/Bielik-11B-v2") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use speakleash/Bielik-11B-v2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "speakleash/Bielik-11B-v2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "speakleash/Bielik-11B-v2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/speakleash/Bielik-11B-v2
- SGLang
How to use speakleash/Bielik-11B-v2 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 "speakleash/Bielik-11B-v2" \ --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": "speakleash/Bielik-11B-v2", "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 "speakleash/Bielik-11B-v2" \ --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": "speakleash/Bielik-11B-v2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use speakleash/Bielik-11B-v2 with Docker Model Runner:
docker model run hf.co/speakleash/Bielik-11B-v2
Update README.md
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README.md
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@@ -168,6 +168,15 @@ Please cite this model using the following format:
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title = {Bielik: A Family of Large Language Models for the Polish Language - Development, Insights, and Evaluation},
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year = {2024},
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}
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```
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## Responsible for training the model
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title = {Bielik: A Family of Large Language Models for the Polish Language - Development, Insights, and Evaluation},
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year = {2024},
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}
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@misc{ociepa2024bielik7bv01polish,
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title={Bielik 7B v0.1: A Polish Language Model -- Development, Insights, and Evaluation},
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author={Krzysztof Ociepa and 艁ukasz Flis and Krzysztof Wr贸bel and Adrian Gwo藕dziej and Remigiusz Kinas},
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year={2024},
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eprint={2410.18565},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2410.18565},
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}
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```
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## Responsible for training the model
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