metadata

base_model: teknium/OpenHermes-2.5-Mistral-7B
tags:
  - mistral
  - instruct
  - finetune
  - chatml
model-index:
  - name: OpenHermes-Emojitron-001
    results: []
license: apache-2.0
language:
  - en

QuantFactory/OpenHermes-Emojitron-001-GGUF

This is quantized version of movaxbx/OpenHermes-Emojitron-001 created using llama.cpp

Original Model Card

OpenHermes-Emojitron-001

🧑‍🎓📜🔄🌌➡️🗣️🌠🔮🖊️👀🤝🔄🧩🛠️👂📡🔐🌟

Model description

OpenHermes-Emojitron-001 is a state of the art Emoji Fine-tune, based on the OpenHermes 2.5 model.

It only speaks in emoji. Mostly. If using for chat, start it off with a nice 😊 to get going.

Huge thank you to Teknium and Mistral for a wonderful model.

Follow all my updates in ML and AI on Twitter: https://twitter.com/mov_axbx

Example Outputs
Benchmark Results
Prompt Format
Quantized Models

Example Outputs

Geography knowlege:

in what country is london

🇬🇧

Chat about food:

what country has the best food

🤔🌎🍽️

1️⃣🇮🇳

2️⃣🇯🇵

3️⃣🇺🇸

4️⃣🇪🇸

5️⃣🇫🇷

Talk about movies:

tell me a time travel story about a delorean

🛸🚗🕰️👨‍🔬🔍📅1985👴🚗💭🔜🌌😱💡💼🔢🔜📅1955🚗👨‍👩‍👧‍👦👀🔜🌉🕰️💥🌀🚗🕰️🔂📅1985👨‍🔬🎉

Benchmark Results

There are no benchmarks for emoji models. Maybe someone can create one. EmojiBench 5K let's gooooooo

Prompt Format

OpenHermes-Emojitron-001 uses ChatML as the prompt format, just like Open Hermes 2.5

It also appears to handle Mistral format great. Especially since I used that for the finetune (oops)

Quantized Models:

Coming soon if TheBloke thinks this is worth his 🕰️

QuantFactory
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OpenHermes-Emojitron-001-GGUF