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
- 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
Update README.md
Browse files
README.md
CHANGED
|
@@ -116,7 +116,7 @@ The following quantized versions are available for different deployment scenario
|
|
| 116 |
| Q8_0 | GGUF | ~4.1 GB | Minimal quality loss |
|
| 117 |
| F16 | GGUF | ~4.1 GB | Full precision, direct loading |
|
| 118 |
|
| 119 |
-
GGUF versions available at: [tokenaii/
|
| 120 |
|
| 121 |
---
|
| 122 |
|
|
|
|
| 116 |
| Q8_0 | GGUF | ~4.1 GB | Minimal quality loss |
|
| 117 |
| F16 | GGUF | ~4.1 GB | Full precision, direct loading |
|
| 118 |
|
| 119 |
+
GGUF versions available at: [tokenaii/Horus-1.0-4B-GGUF](https://huggingface.co/tokenaii/Hours-1.0-4B-GGUF)
|
| 120 |
|
| 121 |
---
|
| 122 |
|