README.md

metadata

language:
  - en
license: apache-2.0
tags:
  - Mistral
  - instruct
  - finetune
  - chatml
  - DPO
  - RLHF
  - gpt4
  - synthetic data
  - distillation
  - function calling
  - json mode
  - llama-cpp
  - gguf-my-repo
base_model: mistralai/Mistral-7B-v0.1
datasets:
  - teknium/OpenHermes-2.5
widget:
  - example_title: Hermes 2 Pro
    messages:
      - role: system
        content: >-
          You are a sentient, superintelligent artificial general intelligence,
          here to teach and assist me.
      - role: user
        content: >-
          Write a short story about Goku discovering kirby has teamed up with
          Majin Buu to destroy the world.
model-index:
  - name: Hermes-2-Pro-Mistral-7B
    results: []

quanthunter/Hermes-2-Pro-Mistral-7B-Q6_K-GGUF

This model was converted to GGUF format from NousResearch/Hermes-2-Pro-Mistral-7B using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew.

brew install ggerganov/ggerganov/llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo quanthunter/Hermes-2-Pro-Mistral-7B-Q6_K-GGUF --model hermes-2-pro-mistral-7b.Q6_K.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo quanthunter/Hermes-2-Pro-Mistral-7B-Q6_K-GGUF --model hermes-2-pro-mistral-7b.Q6_K.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

git clone https://github.com/ggerganov/llama.cpp &&             cd llama.cpp &&             make &&             ./main -m hermes-2-pro-mistral-7b.Q6_K.gguf -n 128