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+ ---
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+ base_model: LeroyDyer/_Spydaz_Web_AI_ChatQA_Reasoning101_Project
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+ datasets:
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+ - gretelai/synthetic_text_to_sql
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+ - HuggingFaceTB/cosmopedia
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+ - teknium/OpenHermes-2.5
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+ - Open-Orca/SlimOrca
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+ - Open-Orca/OpenOrca
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+ - cognitivecomputations/dolphin-coder
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+ - databricks/databricks-dolly-15k
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+ - yahma/alpaca-cleaned
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+ - uonlp/CulturaX
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+ - mwitiderrick/SwahiliPlatypus
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+ - NexusAI-tddi/OpenOrca-tr-1-million-sharegpt
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+ - Vezora/Open-Critic-GPT
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+ - verifiers-for-code/deepseek_plans_test
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+ - meta-math/MetaMathQA
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+ - KbsdJames/Omni-MATH
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+ - swahili
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+ - Rogendo/English-Swahili-Sentence-Pairs
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+ - ise-uiuc/Magicoder-Evol-Instruct-110K
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+ - meta-math/MetaMathQA
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+ - abacusai/ARC_DPO_FewShot
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+ - abacusai/MetaMath_DPO_FewShot
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+ - abacusai/HellaSwag_DPO_FewShot
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+ - HaltiaAI/Her-The-Movie-Samantha-and-Theodore-Dataset
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+ - HuggingFaceFW/fineweb
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+ - occiglot/occiglot-fineweb-v0.5
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+ - omi-health/medical-dialogue-to-soap-summary
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+ - keivalya/MedQuad-MedicalQnADataset
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+ - ruslanmv/ai-medical-dataset
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+ - Shekswess/medical_llama3_instruct_dataset_short
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+ - ShenRuililin/MedicalQnA
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+ - virattt/financial-qa-10K
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+ - PatronusAI/financebench
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+ - takala/financial_phrasebank
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+ - Replete-AI/code_bagel
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+ - athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW
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+ - IlyaGusev/gpt_roleplay_realm
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+ - rickRossie/bluemoon_roleplay_chat_data_300k_messages
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+ - jtatman/hypnosis_dataset
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+ - Hypersniper/philosophy_dialogue
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+ - Locutusque/function-calling-chatml
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+ - bible-nlp/biblenlp-corpus
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+ - DatadudeDev/Bible
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+ - Helsinki-NLP/bible_para
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+ - HausaNLP/AfriSenti-Twitter
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+ - aixsatoshi/Chat-with-cosmopedia
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+ - xz56/react-llama
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+ - BeIR/hotpotqa
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+ - YBXL/medical_book_train_filtered
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+ - SkunkworksAI/reasoning-0.01
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+ - THUDM/LongWriter-6k
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+ - WhiteRabbitNeo/WRN-Chapter-1
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+ - WhiteRabbitNeo/Code-Functions-Level-Cyber
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+ - WhiteRabbitNeo/Code-Functions-Level-General
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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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+ library_name: transformers
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+ tags:
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+ - mergekit
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+ - merge
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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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+ - text-generation-inference
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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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+ ---
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+
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+ # c10x/_Spydaz_Web_AI_ChatQA_Reasoning101_Project-Q4_K_M-GGUF
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+ This model was converted to GGUF format from [`LeroyDyer/_Spydaz_Web_AI_ChatQA_Reasoning101_Project`](https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_ChatQA_Reasoning101_Project) 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/_Spydaz_Web_AI_ChatQA_Reasoning101_Project) 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 c10x/_Spydaz_Web_AI_ChatQA_Reasoning101_Project-Q4_K_M-GGUF --hf-file _spydaz_web_ai_chatqa_reasoning101_project-q4_k_m.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 c10x/_Spydaz_Web_AI_ChatQA_Reasoning101_Project-Q4_K_M-GGUF --hf-file _spydaz_web_ai_chatqa_reasoning101_project-q4_k_m.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 c10x/_Spydaz_Web_AI_ChatQA_Reasoning101_Project-Q4_K_M-GGUF --hf-file _spydaz_web_ai_chatqa_reasoning101_project-q4_k_m.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 c10x/_Spydaz_Web_AI_ChatQA_Reasoning101_Project-Q4_K_M-GGUF --hf-file _spydaz_web_ai_chatqa_reasoning101_project-q4_k_m.gguf -c 2048
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+ ```