--- license: other license_name: helpingai license_link: https://huggingface.co/OEvortex/HelpingAI2.5-2B/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/HelpingAI2.5-5B --- # Triangle104/HelpingAI2.5-5B-Q8_0-GGUF This model was converted to GGUF format from [`OEvortex/HelpingAI2.5-5B`](https://huggingface.co/OEvortex/HelpingAI2.5-5B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. Refer to the [original model card](https://huggingface.co/OEvortex/HelpingAI2.5-5B) for more details on the model. --- Model details: - HelpingAI2.5-5B is a compact yet powerful language model specifically designed for emotionally intelligent conversations and human-centric interactions. 🎯 Key Highlights Architecture: 5B parameter transformer-based model Training Focus: Emotional intelligence and empathetic responses Emotion Score: Achieves 94.28 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) ```bash brew install llama.cpp ``` Invoke the llama.cpp server or the CLI. ### CLI: ```bash llama-cli --hf-repo Triangle104/HelpingAI2.5-5B-Q8_0-GGUF --hf-file helpingai2.5-5b-q8_0.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo Triangle104/HelpingAI2.5-5B-Q8_0-GGUF --hf-file helpingai2.5-5b-q8_0.gguf -c 2048 ``` 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. 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/HelpingAI2.5-5B-Q8_0-GGUF --hf-file helpingai2.5-5b-q8_0.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo Triangle104/HelpingAI2.5-5B-Q8_0-GGUF --hf-file helpingai2.5-5b-q8_0.gguf -c 2048 ```