--- base_model: LeroyDyer/SpydazWeb_AI_HumanAI_007 language: - en - sw - ig - so - es - ca - xh - zu - ha - tw - af - hi - bm - su license: apache-2.0 datasets: - neoneye/base64-decode-v2 - neoneye/base64-encode-v1 - VuongQuoc/Chemistry_text_to_image - Kamizuru00/diagram_image_to_text - LeroyDyer/Chemistry_text_to_image_BASE64 - LeroyDyer/AudioCaps-Spectrograms_to_Base64 - LeroyDyer/winogroud_text_to_imaget_BASE64 - LeroyDyer/chart_text_to_Base64 - LeroyDyer/diagram_image_to_text_BASE64 - mekaneeky/salt_m2e_15_3_instruction - mekaneeky/SALT-languages-bible - xz56/react-llama - BeIR/hotpotqa - arcee-ai/agent-data tags: - mergekit - merge - Mistral_Star - Mistral_Quiet - Mistral - Mixtral - Question-Answer - Token-Classification - Sequence-Classification - SpydazWeb-AI - chemistry - biology - legal - code - climate - medical - LCARS_AI_StarTrek_Computer - text-generation-inference - chain-of-thought - tree-of-knowledge - forest-of-thoughts - visual-spacial-sketchpad - alpha-mind - knowledge-graph - entity-detection - encyclopedia - wikipedia - stack-exchange - Reddit - Cyber-series - MegaMind - Cybertron - SpydazWeb - Spydaz - LCARS - star-trek - mega-transformers - Mulit-Mega-Merge - Multi-Lingual - Afro-Centric - African-Model - Ancient-One - llama-cpp - gguf-my-repo --- # LeroyDyer/SpydazWeb_AI_HumanAI_007-Q4_K_M-GGUF This model was converted to GGUF format from [`LeroyDyer/SpydazWeb_AI_HumanAI_007`](https://huggingface.co/LeroyDyer/SpydazWeb_AI_HumanAI_007) 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/LeroyDyer/SpydazWeb_AI_HumanAI_007) 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 LeroyDyer/SpydazWeb_AI_HumanAI_007-Q4_K_M-GGUF --hf-file spydazweb_ai_humanai_007-q4_k_m.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo LeroyDyer/SpydazWeb_AI_HumanAI_007-Q4_K_M-GGUF --hf-file spydazweb_ai_humanai_007-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 LeroyDyer/SpydazWeb_AI_HumanAI_007-Q4_K_M-GGUF --hf-file spydazweb_ai_humanai_007-q4_k_m.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo LeroyDyer/SpydazWeb_AI_HumanAI_007-Q4_K_M-GGUF --hf-file spydazweb_ai_humanai_007-q4_k_m.gguf -c 2048 ```