Text Generation
GGUF
cortex.cpp
conversational
How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "cortexso/yi-1.5"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cortexso/yi-1.5",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'
Use Docker
docker model run hf.co/cortexso/yi-1.5:
Quick Links

Overview

Yi-1.5 delivers stronger performance in coding, math, reasoning, and instruction-following capability, while still maintaining excellent capabilities in language understanding, commonsense reasoning, and reading comprehension.

Variants

No Variant Cortex CLI command
1 Yi-1.5-34b cortex run yi-1.5:34b

Use it with Jan (UI)

  1. Install Jan using Quickstart
  2. Use in Jan model Hub:
    cortexhub/yi-1.5
    

Use it with Cortex (CLI)

  1. Install Cortex using Quickstart
  2. Run the model with command:
    cortex run yi-1.5
    

Credits

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GGUF
Model size
34B params
Architecture
llama
Hardware compatibility
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