metadata

license: other
license_name: helpingai
license_link: https://huggingface.co/OEvortex/HelpingAI2.5-5B/blob/main/LICENSE.md
pipeline_tag: text-generation
language:
  - en
tags:
  - HelpingAI
  - Emotionally-Intelligent
  - EQ-focused
  - Conversational
  - SLM
  - llama-cpp
  - gguf-my-repo
base_model: OEvortex/HelpingAI2.5-10B

Triangle104/HelpingAI2.5-10B-Q5_K_M-GGUF

This model was converted to GGUF format from OEvortex/HelpingAI2.5-10B using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Model details:

HelpingAI2.5-10B is a compact yet powerful language model specifically designed for emotionally intelligent conversations and human-centric interactions.

    🎯 Key Highlights

Architecture: 10B parameter transformer-based model Training Focus: Emotional intelligence and empathetic responses Emotion Score: Achieves 98.13 on standardized emotional intelligence tests Deployment: Optimized for efficient deployment on consumer hardware

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 Triangle104/HelpingAI2.5-10B-Q5_K_M-GGUF --hf-file helpingai2.5-10b-q5_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/HelpingAI2.5-10B-Q5_K_M-GGUF --hf-file helpingai2.5-10b-q5_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 Triangle104/HelpingAI2.5-10B-Q5_K_M-GGUF --hf-file helpingai2.5-10b-q5_k_m.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo Triangle104/HelpingAI2.5-10B-Q5_K_M-GGUF --hf-file helpingai2.5-10b-q5_k_m.gguf -c 2048