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+ ---
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+ base_model: LeroyDyer/SpydazWeb_AI_HumanAGI_002
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+ datasets:
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+ - neoneye/base64-decode-v2
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+ - neoneye/base64-encode-v1
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+ - VuongQuoc/Chemistry_text_to_image
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+ - Kamizuru00/diagram_image_to_text
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+ - LeroyDyer/Chemistry_text_to_image_BASE64
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+ - LeroyDyer/AudioCaps-Spectrograms_to_Base64
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+ - LeroyDyer/winogroud_text_to_imaget_BASE64
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+ - LeroyDyer/chart_text_to_Base64
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+ - LeroyDyer/diagram_image_to_text_BASE64
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+ - mekaneeky/salt_m2e_15_3_instruction
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+ - mekaneeky/SALT-languages-bible
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+ - xz56/react-llama
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+ - BeIR/hotpotqa
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+ - arcee-ai/agent-data
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+ tags:
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+ - text-generation-inference
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+ - transformers
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+ - unsloth
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+ - mistral
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+ - Mistral_Star
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+ - Mistral_Quiet
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+ - Mistral
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+ - Mixtral
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+ - Question-Answer
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+ - Token-Classification
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+ - Sequence-Classification
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+ - SpydazWeb-AI
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+ - chemistry
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+ - biology
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+ - legal
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+ - code
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+ - climate
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+ - medical
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+ - LCARS_AI_StarTrek_Computer
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+ - chain-of-thought
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+ - tree-of-knowledge
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+ - forest-of-thoughts
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+ - visual-spacial-sketchpad
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+ - alpha-mind
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+ - knowledge-graph
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+ - entity-detection
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+ - encyclopedia
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+ - wikipedia
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+ - stack-exchange
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+ - Reddit
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+ - Cyber-series
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+ - MegaMind
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+ - Cybertron
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+ - SpydazWeb
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+ - Spydaz
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+ - LCARS
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+ - star-trek
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+ - mega-transformers
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+ - Mulit-Mega-Merge
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+ - Multi-Lingual
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+ - Afro-Centric
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+ - African-Model
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+ - Ancient-One
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+ - llama-cpp
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+ - gguf-my-repo
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+ license: apache-2.0
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+ language:
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+ - en
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+ - sw
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+ - ig
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+ - so
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+ - es
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+ - ca
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+ - xh
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+ - zu
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+ - ha
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+ - tw
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+ - af
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+ - hi
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+ - bm
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+ - su
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+ ---
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+
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+ # LeroyDyer/SpydazWeb_AI_HumanAGI_002-Q4_K_S-GGUF
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+ This model was converted to GGUF format from [`LeroyDyer/SpydazWeb_AI_HumanAGI_002`](https://huggingface.co/LeroyDyer/SpydazWeb_AI_HumanAGI_002) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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+ Refer to the [original model card](https://huggingface.co/LeroyDyer/SpydazWeb_AI_HumanAGI_002) for more details on the model.
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+
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+ ## Use with llama.cpp
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+ Install llama.cpp through brew (works on Mac and Linux)
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+
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+ ```bash
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+ brew install llama.cpp
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+
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+ ```
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+ Invoke the llama.cpp server or the CLI.
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+
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+ ### CLI:
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+ ```bash
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+ llama-cli --hf-repo LeroyDyer/SpydazWeb_AI_HumanAGI_002-Q4_K_S-GGUF --hf-file spydazweb_ai_humanagi_002-q4_k_s.gguf -p "The meaning to life and the universe is"
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+ ```
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+
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+ ### Server:
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+ ```bash
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+ llama-server --hf-repo LeroyDyer/SpydazWeb_AI_HumanAGI_002-Q4_K_S-GGUF --hf-file spydazweb_ai_humanagi_002-q4_k_s.gguf -c 2048
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+ ```
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+
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+ 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.
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+
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+ Step 1: Clone llama.cpp from GitHub.
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+ ```
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+ git clone https://github.com/ggerganov/llama.cpp
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+ ```
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+
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+ 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).
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+ ```
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+ cd llama.cpp && LLAMA_CURL=1 make
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+ ```
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+
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+ Step 3: Run inference through the main binary.
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+ ```
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+ ./llama-cli --hf-repo LeroyDyer/SpydazWeb_AI_HumanAGI_002-Q4_K_S-GGUF --hf-file spydazweb_ai_humanagi_002-q4_k_s.gguf -p "The meaning to life and the universe is"
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+ ```
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+ or
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+ ```
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+ ./llama-server --hf-repo LeroyDyer/SpydazWeb_AI_HumanAGI_002-Q4_K_S-GGUF --hf-file spydazweb_ai_humanagi_002-q4_k_s.gguf -c 2048
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+ ```