Text Generation
Transformers
strata
persistent-memory
structured-memory
neuro-symbolic
exact-value-copying
Instructions to use nur-dev/strata-native-lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nur-dev/strata-native-lm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="nur-dev/strata-native-lm")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nur-dev/strata-native-lm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use nur-dev/strata-native-lm with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "nur-dev/strata-native-lm" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nur-dev/strata-native-lm", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/nur-dev/strata-native-lm
- SGLang
How to use nur-dev/strata-native-lm 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 "nur-dev/strata-native-lm" \ --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": "nur-dev/strata-native-lm", "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 "nur-dev/strata-native-lm" \ --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": "nur-dev/strata-native-lm", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use nur-dev/strata-native-lm with Docker Model Runner:
docker model run hf.co/nur-dev/strata-native-lm
Download BASE_MODEL.json from nur-dev/strata-native-lm: direct link, hf CLI and curl.
- Browser
- Download file 132 Bytes
-
https://huggingface.co/nur-dev/strata-native-lm/resolve/main/BASE_MODEL.json
- Command line
-
hf download hf://nur-dev/strata-native-lm/BASE_MODEL.json
-
curl -L -o BASE_MODEL.json https://huggingface.co/nur-dev/strata-native-lm/resolve/main/BASE_MODEL.json
132 Bytes
| { | |
| "model": "Qwen/Qwen3-4B-Instruct-2507", | |
| "revision": "cdbee75f17c01a7cc42f958dc650907174af0554", | |
| "weights_included": false | |
| } | |