--- base_model: 01-ai/Yi-6B-200K license: apache-2.0 pipeline_tag: text-generation tags: - llama-cpp - gguf-my-repo widget: - example_title: Yi-34B-Chat text: hi output: text: ' Hello! How can I assist you today?' - example_title: Yi-34B text: There's a place where time stands still. A place of breath taking wonder, but also output: text: ' an eerie sense that something is just not right… Between the two worlds lies The Forgotten Kingdom - home to creatures long since thought extinct and ancient magic so strong it defies belief! Only here can you find what has been lost for centuries: An Elixir Of Life which will restore youth and vitality if only those who seek its power are brave enough to face up against all manner of dangers lurking in this mysterious land! But beware; some say there may even exist powerful entities beyond our comprehension whose intentions towards humanity remain unclear at best ---- they might want nothing more than destruction itself rather then anything else from their quest after immortality (and maybe someone should tell them about modern medicine)? In any event though – one thing remains true regardless : whether or not success comes easy depends entirely upon how much effort we put into conquering whatever challenges lie ahead along with having faith deep down inside ourselves too ;) So let’s get started now shall We?' --- # Angel367/Yi-6B-200K-Q4_K_M-GGUF This model was converted to GGUF format from [`01-ai/Yi-6B-200K`](https://huggingface.co/01-ai/Yi-6B-200K) 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/01-ai/Yi-6B-200K) 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 Angel367/Yi-6B-200K-Q4_K_M-GGUF --hf-file yi-6b-200k-q4_k_m.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo Angel367/Yi-6B-200K-Q4_K_M-GGUF --hf-file yi-6b-200k-q4_k_m.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 Angel367/Yi-6B-200K-Q4_K_M-GGUF --hf-file yi-6b-200k-q4_k_m.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo Angel367/Yi-6B-200K-Q4_K_M-GGUF --hf-file yi-6b-200k-q4_k_m.gguf -c 2048 ```