Text Generation
Transformers
Safetensors
llama
llm
neuralnode
multilingual
causal-lm
horus
tokenai
tts
voice
text-generation-inference
Instructions to use tokenaii/horus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tokenaii/horus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="tokenaii/horus")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("tokenaii/horus") model = AutoModelForCausalLM.from_pretrained("tokenaii/horus") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use tokenaii/horus with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "tokenaii/horus" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "tokenaii/horus", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/tokenaii/horus
- SGLang
How to use tokenaii/horus 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 "tokenaii/horus" \ --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": "tokenaii/horus", "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 "tokenaii/horus" \ --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": "tokenaii/horus", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use tokenaii/horus with Docker Model Runner:
docker model run hf.co/tokenaii/horus
Delete phase2_results_20260405_064047.csv
Browse files
phase2_results_20260405_064047.csv
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Model,Size,Country,MMLU,GPQA_Diamond,SWE_bench,IFEval,BFCL,OmniDocBench,Terminal_Bench,ERQA,BrowseComp,Arabic_ETEC,Arabic_IEN_MCQ,Arabic_AraMath,Arabic_ExamsAR,Arabic_ACVA,Arabic_MMLU,English_AGIEval,English_Arc_Challenge,English_GPQA,English_HellaSwag,English_Winogrande,English_MMLU_Pro,English_GSM8K,English_TruthfulQA,Average
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Horus-1.0-4B,4B,🇪🇬 Egypt,60.0,100.0,66.67,100.0,100.0,100.0,100.0,66.67,100.0,33.33,100.0,0.0,100.0,50.0,33.33,66.67,100.0,100.0,100.0,100.0,100.0,66.67,100.0,80.15
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