Text Generation
Transformers
Safetensors
maccy
custom_code
mixture-of-experts
kimi-delta-attention
multi-head-latent-attention
Instructions to use bgub/maccy-106m-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bgub/maccy-106m-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="bgub/maccy-106m-base", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("bgub/maccy-106m-base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use bgub/maccy-106m-base with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "bgub/maccy-106m-base" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "bgub/maccy-106m-base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/bgub/maccy-106m-base
- SGLang
How to use bgub/maccy-106m-base 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 "bgub/maccy-106m-base" \ --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": "bgub/maccy-106m-base", "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 "bgub/maccy-106m-base" \ --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": "bgub/maccy-106m-base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use bgub/maccy-106m-base with Docker Model Runner:
docker model run hf.co/bgub/maccy-106m-base
File size: 447 Bytes
4eb89a5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"backend": "tokenizers",
"bos_token": "<|bos|>",
"clean_up_tokenization_spaces": false,
"eos_token": "<|assistant_end|>",
"extra_special_tokens": [
"<|user_start|>",
"<|user_end|>",
"<|assistant_start|>",
"<|assistant_end|>",
"<|python_start|>",
"<|python_end|>",
"<|output_start|>",
"<|output_end|>"
],
"model_max_length": 1024,
"pad_token": "<|bos|>",
"tokenizer_class": "TokenizersBackend"
}
|