Instructions to use nold/OpenHermes-Emojitron-001-GGUF 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 nold/OpenHermes-Emojitron-001-GGUF 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 nold/OpenHermes-Emojitron-001-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf nold/OpenHermes-Emojitron-001-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf nold/OpenHermes-Emojitron-001-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf nold/OpenHermes-Emojitron-001-GGUF: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 nold/OpenHermes-Emojitron-001-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf nold/OpenHermes-Emojitron-001-GGUF: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 nold/OpenHermes-Emojitron-001-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf nold/OpenHermes-Emojitron-001-GGUF:Q4_K_M
Use Docker
docker model run hf.co/nold/OpenHermes-Emojitron-001-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use nold/OpenHermes-Emojitron-001-GGUF with Ollama:
ollama run hf.co/nold/OpenHermes-Emojitron-001-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use nold/OpenHermes-Emojitron-001-GGUF with Docker Model Runner:
docker model run hf.co/nold/OpenHermes-Emojitron-001-GGUF:Q4_K_M
- Lemonade
How to use nold/OpenHermes-Emojitron-001-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull nold/OpenHermes-Emojitron-001-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.OpenHermes-Emojitron-001-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Upload folder using huggingface_hub
Browse files- .gitattributes +4 -0
- OpenHermes-Emojitron-001_Q2_K.gguf +3 -0
- OpenHermes-Emojitron-001_Q4_K_M.gguf +3 -0
- OpenHermes-Emojitron-001_Q5_K_M.gguf +3 -0
- OpenHermes-Emojitron-001_Q8_0.gguf +3 -0
- README.md +93 -0
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---
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base_model: teknium/OpenHermes-2.5-Mistral-7B
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tags:
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- mistral
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- instruct
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- finetune
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- chatml
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model-index:
|
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- name: OpenHermes-Emojitron-001
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results: []
|
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license: apache-2.0
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language:
|
| 13 |
+
- en
|
| 14 |
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---
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| 15 |
+
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| 16 |
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# OpenHermes-Emojitron-001
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| 17 |
+
|
| 18 |
+
|
| 19 |
+

|
| 20 |
+
|
| 21 |
+
*๐งโ๐๐๐๐โก๏ธ๐ฃ๏ธ๐ ๐ฎ๐๏ธ๐๐ค๐๐งฉ๐ ๏ธ๐๐ก๐๐*
|
| 22 |
+
|
| 23 |
+
## Model description
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| 24 |
+
|
| 25 |
+
OpenHermes-Emojitron-001 is a state of the art Emoji Fine-tune, based on the OpenHermes 2.5 model.
|
| 26 |
+
|
| 27 |
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It only speaks in emoji. Mostly. If using for chat, start it off with a nice ๐ to get going.
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| 28 |
+
|
| 29 |
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Huge thank you to Teknium and Mistral for a wonderful model.
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| 30 |
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|
| 31 |
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Follow all my updates in ML and AI on Twitter: https://twitter.com/mov_axbx
|
| 32 |
+
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| 33 |
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|
| 34 |
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# Table of Contents
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| 35 |
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1. [Example Outputs](#example-outputs)
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| 36 |
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- [Geography knowlege](#geography)
|
| 37 |
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- [Chat about food](#food-chat)
|
| 38 |
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- [Talk about movies](#movie-talk)
|
| 39 |
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2. [Benchmark Results](#benchmark-results)
|
| 40 |
+
3. [Prompt Format](#prompt-format)
|
| 41 |
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4. [Quantized Models](#quantized-models)
|
| 42 |
+
|
| 43 |
+
|
| 44 |
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## Example Outputs
|
| 45 |
+
### Geography knowlege:
|
| 46 |
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in what country is london
|
| 47 |
+
```
|
| 48 |
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๐ฌ๐ง
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| 49 |
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```
|
| 50 |
+
|
| 51 |
+
### Chat about food:
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| 52 |
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what country has the best food
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| 53 |
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```
|
| 54 |
+
๐ค๐๐ฝ๏ธ
|
| 55 |
+
|
| 56 |
+
1๏ธโฃ๐ฎ๐ณ
|
| 57 |
+
|
| 58 |
+
2๏ธโฃ๐ฏ๐ต
|
| 59 |
+
|
| 60 |
+
3๏ธโฃ๐บ๐ธ
|
| 61 |
+
|
| 62 |
+
4๏ธโฃ๐ช๐ธ
|
| 63 |
+
|
| 64 |
+
5๏ธโฃ๐ซ๐ท
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| 65 |
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```
|
| 66 |
+
|
| 67 |
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### Talk about movies:
|
| 68 |
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|
| 69 |
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tell me a time travel story about a delorean
|
| 70 |
+
```
|
| 71 |
+
๐ธ๐๐ฐ๏ธ๐จโ๐ฌ๐๐
1985๐ด๐๐ญ๐๐๐ฑ๐ก๐ผ๐ข๐๐
1955๐๐จโ๐ฉโ๐งโ๐ฆ๐๐๐๐ฐ๏ธ๐ฅ๐๐๐ฐ๏ธ๐๐
1985๐จโ๐ฌ๐
|
| 72 |
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```
|
| 73 |
+
|
| 74 |
+
## Benchmark Results
|
| 75 |
+
|
| 76 |
+
There are no benchmarks for emoji models. Maybe someone can create one. EmojiBench 5K let's gooooooo
|
| 77 |
+
|
| 78 |
+
# Prompt Format
|
| 79 |
+
|
| 80 |
+
OpenHermes-Emojitron-001 uses ChatML as the prompt format, just like Open Hermes 2.5
|
| 81 |
+
|
| 82 |
+
It also appears to handle Mistral format great. Especially since I used that for the finetune (oops)
|
| 83 |
+
|
| 84 |
+
|
| 85 |
+
# Quantized Models:
|
| 86 |
+
|
| 87 |
+
Coming soon if TheBloke thinks this is worth his ๐ฐ๏ธ
|
| 88 |
+
|
| 89 |
+
|
| 90 |
+
|
| 91 |
+
***
|
| 92 |
+
|
| 93 |
+
Vanilla Quantization by [nold](https://huggingface.co/nold), Model by [OpenHermes-Emojitron-001](https://huggingface.co/movaxbx/OpenHermes-Emojitron-001)
|