HumanFlow Q4 0 GGUF

--- language: - en license: apache-2.0 base_model: randhir302/HumanFlow library_name: transformers pipeline_tag: text-generation tags: - text-generation - llama3 - humanizer - rewriting - conversational - merged - sft - editorial - llama-cpp - gguf-my-repo widget: - text: 'Rewrite this in a more human tone: The system is functioning correctly.' example_title: Smooth System - text: 'Rewrite this in a more human tone: The implementation has been completed successfully.' example_title: Successful Setup - text: 'Rewrite this in a more human tone: The user is advised to proceed with caution.' example_title: Friendly Warning model-index: - name: HumanFlow-Llama3-8B results: - task: type: text-generation dataset: name: Internal Evaluation Suite type: custom metrics: - type: BERTScore F1 value: 0.8424 - type: ROUGE-L value: 0.0908 - type: Perplexity value: 1.5242 - type: Text Overlap value: 0.0528 --- # randhir302/HumanFlow-Q4_0-GGUF This model was converted to GGUF format from [`randhir302/HumanFlow`](https://huggingface.co/randhir302/HumanFlow) 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/randhir302/HumanFlow) 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 randhir302/HumanFlow-Q4_0-GGUF --hf-file humanflow-q4_0.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo randhir302/HumanFlow-Q4_0-GGUF --hf-file humanflow-q4_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 randhir302/HumanFlow-Q4_0-GGUF --hf-file humanflow-q4_0.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo randhir302/HumanFlow-Q4_0-GGUF --hf-file humanflow-q4_0.gguf -c 2048 ```