Instructions to use assafbk/decimamba-130m-pg19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use assafbk/decimamba-130m-pg19 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="assafbk/decimamba-130m-pg19")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("assafbk/decimamba-130m-pg19", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use assafbk/decimamba-130m-pg19 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "assafbk/decimamba-130m-pg19" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "assafbk/decimamba-130m-pg19", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/assafbk/decimamba-130m-pg19
- SGLang
How to use assafbk/decimamba-130m-pg19 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 "assafbk/decimamba-130m-pg19" \ --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": "assafbk/decimamba-130m-pg19", "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 "assafbk/decimamba-130m-pg19" \ --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": "assafbk/decimamba-130m-pg19", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use assafbk/decimamba-130m-pg19 with Docker Model Runner:
docker model run hf.co/assafbk/decimamba-130m-pg19
Download special_tokens_map.json from assafbk/decimamba-130m-pg19: direct link, hf CLI and curl.
- Browser
- Download file 441 Bytes
-
https://huggingface.co/assafbk/decimamba-130m-pg19/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://assafbk/decimamba-130m-pg19/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/assafbk/decimamba-130m-pg19/resolve/main/special_tokens_map.json
441 Bytes
| { | |
| "bos_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |