How to use TroyDoesAI/Smaug-8-Layer-Chunk-Experiment1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="TroyDoesAI/Smaug-8-Layer-Chunk-Experiment1")
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("TroyDoesAI/Smaug-8-Layer-Chunk-Experiment1") model = AutoModelForCausalLM.from_pretrained("TroyDoesAI/Smaug-8-Layer-Chunk-Experiment1")
How to use TroyDoesAI/Smaug-8-Layer-Chunk-Experiment1 with vLLM:
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "TroyDoesAI/Smaug-8-Layer-Chunk-Experiment1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "TroyDoesAI/Smaug-8-Layer-Chunk-Experiment1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'
docker model run hf.co/TroyDoesAI/Smaug-8-Layer-Chunk-Experiment1
How to use TroyDoesAI/Smaug-8-Layer-Chunk-Experiment1 with SGLang:
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "TroyDoesAI/Smaug-8-Layer-Chunk-Experiment1" \ --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": "TroyDoesAI/Smaug-8-Layer-Chunk-Experiment1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'
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 "TroyDoesAI/Smaug-8-Layer-Chunk-Experiment1" \ --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": "TroyDoesAI/Smaug-8-Layer-Chunk-Experiment1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'
How to use TroyDoesAI/Smaug-8-Layer-Chunk-Experiment1 with Docker Model Runner:
DONT DOWNLOAD UNLESS YOUR WORKING ON MAKING EXPERTS FOR MOE THAT KNOW MERMAID DIAGRAMS, THIS IS MY FIRST EXPERT THAT KNOWS SYNTAX ONLY, IT WILL NOT BE USEFUL WITHOUT THE REST OF MY EXPERTS I AM CREATING.
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