Instructions to use cortexso/openhermes-2.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use cortexso/openhermes-2.5 with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf cortexso/openhermes-2.5:Q4_K_M # Run inference directly in the terminal: llama cli -hf cortexso/openhermes-2.5:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf cortexso/openhermes-2.5:Q4_K_M # Run inference directly in the terminal: llama cli -hf cortexso/openhermes-2.5:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf cortexso/openhermes-2.5:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf cortexso/openhermes-2.5:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf cortexso/openhermes-2.5:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf cortexso/openhermes-2.5:Q4_K_M
Use Docker
docker model run hf.co/cortexso/openhermes-2.5:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use cortexso/openhermes-2.5 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "cortexso/openhermes-2.5" # 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/openhermes-2.5", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/cortexso/openhermes-2.5:Q4_K_M
- Ollama
How to use cortexso/openhermes-2.5 with Ollama:
ollama run hf.co/cortexso/openhermes-2.5:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use cortexso/openhermes-2.5 with Docker Model Runner:
docker model run hf.co/cortexso/openhermes-2.5:Q4_K_M
- Lemonade
How to use cortexso/openhermes-2.5 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull cortexso/openhermes-2.5:Q4_K_M
Run and chat with the model
lemonade run user.openhermes-2.5-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Update README.md
Browse files
README.md
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license: apache-2.0
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---
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## Overview
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| No | Variant | Cortex CLI command |
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| 3 | [7b-tensorrt-llm-windows-ada](https://huggingface.co/cortexhub/openhermes-2.5/tree/7b-tensorrt-llm-windows-ada) | `cortex run openhermes-2.5:7b-tensorrt-llm-windows-ada` |
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| 4 | [7b-tensorrt-llm-windows-ampere](https://huggingface.co/cortexhub/openhermes-2.5/tree/7b-tensorrt-llm-windows-ampere) | `cortex run openhermes-2.5:7b-tensorrt-llm-windows-ampere` |
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| 5 | [tensorrt-llm](https://huggingface.co/cortexhub/openhermes-2.5/tree/7b-tensorrt-llm-windows-ada) | `cortex run openhermes-2.5:tensorrt-llm` |
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## Use it with Jan (UI)
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1. Install **Jan** using [Quickstart](https://jan.ai/docs/quickstart)
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2. Use in Jan model Hub:
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```
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cortexhub/openhermes-2.5
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```
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1. Install **Cortex** using [Quickstart](https://cortex.jan.ai/docs/quickstart)
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2. Run the model with command:
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cortex run openhermes-2.5
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```
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---
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license: apache-2.0
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pipeline_tag: text-generation
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tags:
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- cortex.cpp
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## Overview
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| No | Variant | Cortex CLI command |
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| 1 | [gguf](https://huggingface.co/cortexso/openhermes-2.5/tree/main) | `cortex run openhermes-2.5` |
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## Use it with Jan (UI)
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1. Install **Jan** using [Quickstart](https://jan.ai/docs/quickstart)
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2. Use in Jan model Hub:
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```bash
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cortexhub/openhermes-2.5
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```
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1. Install **Cortex** using [Quickstart](https://cortex.jan.ai/docs/quickstart)
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2. Run the model with command:
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```bash
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cortex run openhermes-2.5
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```
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