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README.md
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---
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language:
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- en
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license: apache-2.0
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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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- DPO
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- RLHF
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- gpt4
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- synthetic data
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- distillation
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- function calling
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- json mode
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- llama-cpp
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- gguf-my-repo
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base_model: mistralai/Mistral-7B-v0.1
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datasets:
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- teknium/OpenHermes-2.5
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widget:
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- example_title: Hermes 2 Pro
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messages:
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- role: system
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content: You are a sentient, superintelligent artificial general intelligence,
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here to teach and assist me.
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- role: user
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content: Write a short story about Goku discovering kirby has teamed up with Majin
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Buu to destroy the world.
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model-index:
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- name: Hermes-2-Pro-Mistral-7B
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results: []
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---
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# quanthunter/Hermes-2-Pro-Mistral-7B-Q5_K_M-GGUF
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This model was converted to GGUF format from [`NousResearch/Hermes-2-Pro-Mistral-7B`](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew.
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```bash
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brew install ggerganov/ggerganov/llama.cpp
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```
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Invoke the llama.cpp server or the CLI.
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CLI:
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```bash
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llama-cli --hf-repo quanthunter/Hermes-2-Pro-Mistral-7B-Q5_K_M-GGUF --model hermes-2-pro-mistral-7b.Q5_K_M.gguf -p "The meaning to life and the universe is"
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```
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Server:
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```bash
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llama-server --hf-repo quanthunter/Hermes-2-Pro-Mistral-7B-Q5_K_M-GGUF --model hermes-2-pro-mistral-7b.Q5_K_M.gguf -c 2048
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```
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Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
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```
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git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m hermes-2-pro-mistral-7b.Q5_K_M.gguf -n 128
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```
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