--- license_link: https://www.apache.org/licenses/LICENSE-2.0 license: apache-2.0 language: - en - zh pipeline_tag: text-generation library_name: transformers tags: - WebWorld - web-agent - world-model - simulator - browser - a11y - html - xml - markdown - long-horizon - long-context - synthetic-trajectories - instruction-tuning - llama-cpp - gguf-my-repo base_model_relation: finetune base_model: Qwen/WebWorld-8B datasets: - Qwen/WebWorldData --- # viniciusianni/WebWorld-8B-Q4_K_M-GGUF This model was converted to GGUF format from [`Qwen/WebWorld-8B`](https://huggingface.co/Qwen/WebWorld-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/Qwen/WebWorld-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 viniciusianni/WebWorld-8B-Q4_K_M-GGUF --hf-file webworld-8b-q4_k_m.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo viniciusianni/WebWorld-8B-Q4_K_M-GGUF --hf-file webworld-8b-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 viniciusianni/WebWorld-8B-Q4_K_M-GGUF --hf-file webworld-8b-q4_k_m.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo viniciusianni/WebWorld-8B-Q4_K_M-GGUF --hf-file webworld-8b-q4_k_m.gguf -c 2048 ```