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--- |
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license: other |
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license_name: helpingai |
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license_link: https://huggingface.co/OEvortex/HelpingAI2.5-5B/blob/main/LICENSE.md |
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pipeline_tag: text-generation |
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language: |
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- en |
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tags: |
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- HelpingAI |
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- Emotionally-Intelligent |
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- EQ-focused |
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- Conversational |
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- SLM |
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- llama-cpp |
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- gguf-my-repo |
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base_model: OEvortex/HelpingAI2.5-10B |
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--- |
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# Triangle104/HelpingAI2.5-10B-Q8_0-GGUF |
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This model was converted to GGUF format from [`OEvortex/HelpingAI2.5-10B`](https://huggingface.co/OEvortex/HelpingAI2.5-10B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. |
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Refer to the [original model card](https://huggingface.co/OEvortex/HelpingAI2.5-10B) for more details on the model. |
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--- |
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Model details: |
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- |
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HelpingAI2.5-10B is a compact |
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yet powerful language model specifically designed for emotionally |
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intelligent conversations and human-centric interactions. |
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🎯 Key Highlights |
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Architecture: 10B parameter transformer-based model |
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Training Focus: Emotional intelligence and empathetic responses |
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Emotion Score: Achieves 98.13 on standardized emotional intelligence tests |
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Deployment: Optimized for efficient deployment on consumer hardware |
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--- |
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## Use with llama.cpp |
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Install llama.cpp through brew (works on Mac and Linux) |
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```bash |
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brew install llama.cpp |
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``` |
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Invoke the llama.cpp server or the CLI. |
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### CLI: |
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```bash |
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llama-cli --hf-repo Triangle104/HelpingAI2.5-10B-Q8_0-GGUF --hf-file helpingai2.5-10b-q8_0.gguf -p "The meaning to life and the universe is" |
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``` |
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### Server: |
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```bash |
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llama-server --hf-repo Triangle104/HelpingAI2.5-10B-Q8_0-GGUF --hf-file helpingai2.5-10b-q8_0.gguf -c 2048 |
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``` |
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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. |
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Step 1: Clone llama.cpp from GitHub. |
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``` |
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git clone https://github.com/ggerganov/llama.cpp |
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``` |
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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). |
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``` |
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cd llama.cpp && LLAMA_CURL=1 make |
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``` |
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Step 3: Run inference through the main binary. |
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``` |
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./llama-cli --hf-repo Triangle104/HelpingAI2.5-10B-Q8_0-GGUF --hf-file helpingai2.5-10b-q8_0.gguf -p "The meaning to life and the universe is" |
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``` |
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or |
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``` |
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./llama-server --hf-repo Triangle104/HelpingAI2.5-10B-Q8_0-GGUF --hf-file helpingai2.5-10b-q8_0.gguf -c 2048 |
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``` |
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