Triangle104/HelpingAI2.5-5B-Q6_K-GGUF
This model was converted to GGUF format from OEvortex/HelpingAI2.5-5B
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:
HelpingAI2.5-5B is a compact yet powerful language model specifically designed for emotionally intelligent conversations and human-centric interactions.
๐ฏ 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)
brew install llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo Triangle104/HelpingAI2.5-5B-Q6_K-GGUF --hf-file helpingai2.5-5b-q6_k.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo Triangle104/HelpingAI2.5-5B-Q6_K-GGUF --hf-file helpingai2.5-5b-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.
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-Q6_K-GGUF --hf-file helpingai2.5-5b-q6_k.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo Triangle104/HelpingAI2.5-5B-Q6_K-GGUF --hf-file helpingai2.5-5b-q6_k.gguf -c 2048
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HelpingAI/HelpingAI2.5-5B