Text Generation
Transformers
Safetensors
nemotron
reasoning
dual-mode
thinking
tool-calling
agentic
multilingual
conversational
6-bit
Instructions to use Basher17/Domyn-Small-v1.0-oQ6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Basher17/Domyn-Small-v1.0-oQ6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Basher17/Domyn-Small-v1.0-oQ6") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Basher17/Domyn-Small-v1.0-oQ6") model = AutoModelForCausalLM.from_pretrained("Basher17/Domyn-Small-v1.0-oQ6") 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]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Basher17/Domyn-Small-v1.0-oQ6 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Basher17/Domyn-Small-v1.0-oQ6" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Basher17/Domyn-Small-v1.0-oQ6", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Basher17/Domyn-Small-v1.0-oQ6
- SGLang
How to use Basher17/Domyn-Small-v1.0-oQ6 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 "Basher17/Domyn-Small-v1.0-oQ6" \ --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": "Basher17/Domyn-Small-v1.0-oQ6", "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 "Basher17/Domyn-Small-v1.0-oQ6" \ --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": "Basher17/Domyn-Small-v1.0-oQ6", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Basher17/Domyn-Small-v1.0-oQ6 with Docker Model Runner:
docker model run hf.co/Basher17/Domyn-Small-v1.0-oQ6
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- For general inquiries about Domyn Small, please contact: `models@domyn.com`
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*Affected rightsholders and their authorised representatives, including collective management organisations, may submit sufficiently precise and adequately substantiated complaints electronically concerning any non-compliance with our commitments under the Copyright Chapter of the GPAI Code of Practice. We commit to handling such complaints diligently, impartially, and within a reasonable timeframe, except in cases where the complaint is manifestly unfounded or has already been addressed. This mechanism complements, but does not limit, the available legal measures, remedies, and sanctions under Union and national copyright law.*
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- For general inquiries about Domyn Small, please contact: `models@domyn.com`
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- For copyright-related complaints, please contact: `copyright@domyn.com`
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*Affected rightsholders and their authorised representatives, including collective management organisations, may submit sufficiently precise and adequately substantiated complaints electronically concerning any non-compliance with our commitments under the Copyright Chapter of the GPAI Code of Practice. We commit to handling such complaints diligently, impartially, and within a reasonable timeframe, except in cases where the complaint is manifestly unfounded or has already been addressed. This mechanism complements, but does not limit, the available legal measures, remedies, and sanctions under Union and national copyright law.*
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