Instructions to use ethicalabs/Kurtis-EON1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethicalabs/Kurtis-EON1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ethicalabs/Kurtis-EON1")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ethicalabs/Kurtis-EON1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use ethicalabs/Kurtis-EON1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ethicalabs/Kurtis-EON1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ethicalabs/Kurtis-EON1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ethicalabs/Kurtis-EON1
- SGLang
How to use ethicalabs/Kurtis-EON1 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 "ethicalabs/Kurtis-EON1" \ --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": "ethicalabs/Kurtis-EON1", "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 "ethicalabs/Kurtis-EON1" \ --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": "ethicalabs/Kurtis-EON1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ethicalabs/Kurtis-EON1 with Docker Model Runner:
docker model run hf.co/ethicalabs/Kurtis-EON1
Kurtis-EON1-Hybrid-0.7B v0.1.0
#12 opened 28 days ago
by
mrs83
SFT/Alignment - Phase 007-07-MLP8: ethicalabs/Kurtis-EON1-SFT Mix (1 epoch, 200k samples, bf16, LoRA disabled)
2
#11 opened 2 months ago
by
mrs83
Echo-DSRN - Triton Kernel Benchmark Report - PyTorch (native) vs Triton Legacy (sequential) vs Triton 3-Pass (new)
1
#10 opened 3 months ago
by
mrs83
SFT/Alignment - Phase 007-06-MLP8: ethicalabs/Kurtis-EON1-SFT Mix (1 epoch)
2
#9 opened 3 months ago
by
mrs83
SFT/Alignment - Phase 007-02-MLP8: mlabonne/FineTome-100k-dedup (1000 steps + 500 steps)
1
#8 opened 3 months ago
by
mrs83
SFT/Alignment - Phase 007-02: mlabonne/FineTome-100k-dedup (Filtered, 128T, 1 Epoch)
#7 opened 3 months ago
by
mrs83
SFT/Alignment - Phase 007: Smoltalk2 (No Thinking, Daily Conversations)
1
#6 opened 3 months ago
by
mrs83
Mid-Training - Phase 006: Smoltalk2 (No Thinking)
4
#5 opened 3 months ago
by
mrs83
A quick update on the development of Kurtis-EON1 (Echo-DSRN)
1
#4 opened 3 months ago
by
mrs83
Mid-Training - Phase 005: Kurtis SFT Mix + OpenHermes2.5
5
#3 opened 3 months ago
by
mrs83
Mid-Training - Phase 004: Kurtis SFT Mix
9
#2 opened 4 months ago
by
mrs83
Mid-Training - Phase 003: HuggingFaceTB/smoltalk
4
#1 opened 4 months ago
by
mrs83