--- base_model: ura-hcmut/ura-llama-2.1-8b datasets: - wikimedia/wikipedia language: - vi - en library_name: transformers license: apache-2.0 tags: - llama-factory - llama-cpp - gguf-my-repo extra_gated_prompt: Please read the Apache 2 license before accepting it. extra_gated_fields: Name: text Email: text Affiliation: text Country: text I accept the Apache 2 License Agreement: checkbox --- # nguyenphuthien/ura-llama-2.1-8b-Q6_K-GGUF This model was converted to GGUF format from [`ura-hcmut/ura-llama-2.1-8b`](https://huggingface.co/ura-hcmut/ura-llama-2.1-8b) 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/ura-hcmut/ura-llama-2.1-8b) 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 nguyenphuthien/ura-llama-2.1-8b-Q6_K-GGUF --hf-file ura-llama-2.1-8b-q6_k.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo nguyenphuthien/ura-llama-2.1-8b-Q6_K-GGUF --hf-file ura-llama-2.1-8b-q6_k.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 nguyenphuthien/ura-llama-2.1-8b-Q6_K-GGUF --hf-file ura-llama-2.1-8b-q6_k.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo nguyenphuthien/ura-llama-2.1-8b-Q6_K-GGUF --hf-file ura-llama-2.1-8b-q6_k.gguf -c 2048 ```