--- base_model: fdtn-ai/antares-1b language: - en library_name: transformers license: apache-2.0 pipeline_tag: text-generation tags: - security - vulnerability-detection - agentic - terminal-agent - reinforcement-learning - granite - llama-cpp - gguf-my-repo gated: true extra_gated_prompt: 'Please complete the form below to request access to this model. All requests are reviewed manually. By submitting this form, you confirm that the information provided is accurate, agree to share your contact details with the repository authors. You will be subject to their communications and Privacy Statement: https://www.cisco.com/c/en/us/about/legal/privacy-full.html ' extra_gated_fields: First name: text Last name: text Email address: text Country: country Affiliation: text Occupation: text I have read, understood, and agree to the Terms and Conditions above: checkbox --- # AXONVERTEX-AI-RESEARCH/antares-1b-Q8_0-GGUF This model was converted to GGUF format from [`fdtn-ai/antares-1b`](https://huggingface.co/fdtn-ai/antares-1b) 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/fdtn-ai/antares-1b) for more details on the model. ## 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 AXONVERTEX-AI-RESEARCH/antares-1b-Q8_0-GGUF --hf-file antares-1b-q8_0.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo AXONVERTEX-AI-RESEARCH/antares-1b-Q8_0-GGUF --hf-file antares-1b-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 AXONVERTEX-AI-RESEARCH/antares-1b-Q8_0-GGUF --hf-file antares-1b-q8_0.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo AXONVERTEX-AI-RESEARCH/antares-1b-Q8_0-GGUF --hf-file antares-1b-q8_0.gguf -c 2048 ```