Text Generation
Transformers
Safetensors
English
llama
bitnet
open-source
cosmopedia
text-generation-inference
Instructions to use abideen/Bitnet-Llama-70M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abideen/Bitnet-Llama-70M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="abideen/Bitnet-Llama-70M")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("abideen/Bitnet-Llama-70M") model = AutoModelForCausalLM.from_pretrained("abideen/Bitnet-Llama-70M") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use abideen/Bitnet-Llama-70M with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "abideen/Bitnet-Llama-70M" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "abideen/Bitnet-Llama-70M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/abideen/Bitnet-Llama-70M
- SGLang
How to use abideen/Bitnet-Llama-70M 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 "abideen/Bitnet-Llama-70M" \ --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": "abideen/Bitnet-Llama-70M", "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 "abideen/Bitnet-Llama-70M" \ --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": "abideen/Bitnet-Llama-70M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use abideen/Bitnet-Llama-70M with Docker Model Runner:
docker model run hf.co/abideen/Bitnet-Llama-70M
- Xet hash:
- 1a1615f2fc20e411c777b6d326241de3e9464b3c1af07079d8d57f231f0f1950
- Size of remote file:
- 4.92 kB
- SHA256:
- 25280eaf984e589d37f2e83d86fd6c075b5e36788f3a0e3ac6ca681ff54a0ffb
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