metadata

base_model: BrunoGR/Just_HEAR_Me
datasets:
  - BrunoGR/HEAR-Hispanic_Emotional_Accompaniment_Responses
  - >-
    BrunoGR/HRECPW-Hispanic_Responses_for_Emotional_Classification_based_on_Plutchik_Wheel
language:
  - es
library_name: transformers
license: mit
pipeline_tag: text-generation
tags:
  - Emotional
  - Emotional Support
  - Emotional Accompaniment
  - chatbot
  - llama-cpp
  - gguf-my-repo

BrunoGR/Just_HEAR_Me-Q4_K_M-GGUF

This model was converted to GGUF format from BrunoGR/Just_HEAR_Me 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 (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo BrunoGR/Just_HEAR_Me-Q4_K_M-GGUF --hf-file just_hear_me-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo BrunoGR/Just_HEAR_Me-Q4_K_M-GGUF --hf-file just_hear_me-q4_k_m.gguf -c 2048

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

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo BrunoGR/Just_HEAR_Me-Q4_K_M-GGUF --hf-file just_hear_me-q4_k_m.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo BrunoGR/Just_HEAR_Me-Q4_K_M-GGUF --hf-file just_hear_me-q4_k_m.gguf -c 2048

Citation

If you use Sólo Escúchame (BrunoGR/Just_HEAR_Me) in your research, please cite the following paper:

@misc{ramírez2024soloescuchamespanishemotional,
      title={S\'olo Esc\'uchame: Spanish Emotional Accompaniment Chatbot}, 
      author={Bruno Gil Ramírez and Jessica López Espejel and María del Carmen Santiago Díaz and Gustavo Trinidad Rubín Linares},
      year={2024},
      eprint={2408.01852},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2408.01852}, 
}