GGUF
47 datasets
14 languages
Mistral_Star
Mistral_Quiet
Mistral
Mixtral
Question-Answer
Token-Classification
Sequence-Classification
SpydazWeb-AI
chemistry
biology
legal
code
climate
medical
text-generation-inference
Not-For-All-Audiences
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
Upload README.md with huggingface_hub
Browse files
README.md
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---
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base_model: LeroyDyer/_Spydaz_Web_AI_Chatml_BASE
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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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- 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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- arcee-ai/agent-data
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- HuggingFaceTB/cosmopedia-100k
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- HuggingFaceFW/fineweb-edu
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- m-a-p/CodeFeedback-Filtered-Instruction
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- heliosbrahma/mental_health_chatbot_dataset
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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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license: apache-2.0
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tags:
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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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- text-generation-inference
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- not-for-all-audiences
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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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# LeroyDyer/_Spydaz_Web_AI_Chatml_BASE-Q4_K_M-GGUF
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This model was converted to GGUF format from [`LeroyDyer/_Spydaz_Web_AI_Chatml_BASE`](https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_Chatml_BASE) 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_Chatml_BASE) for more details on the model.
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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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```bash
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brew install llama.cpp
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```
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Invoke the llama.cpp server or the CLI.
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### CLI:
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```bash
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llama-cli --hf-repo LeroyDyer/_Spydaz_Web_AI_Chatml_BASE-Q4_K_M-GGUF --hf-file _spydaz_web_ai_chatml_base-q4_k_m.gguf -p "The meaning to life and the universe is"
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```
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### Server:
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```bash
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llama-server --hf-repo LeroyDyer/_Spydaz_Web_AI_Chatml_BASE-Q4_K_M-GGUF --hf-file _spydaz_web_ai_chatml_base-q4_k_m.gguf -c 2048
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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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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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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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Step 3: Run inference through the main binary.
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```
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./llama-cli --hf-repo LeroyDyer/_Spydaz_Web_AI_Chatml_BASE-Q4_K_M-GGUF --hf-file _spydaz_web_ai_chatml_base-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 LeroyDyer/_Spydaz_Web_AI_Chatml_BASE-Q4_K_M-GGUF --hf-file _spydaz_web_ai_chatml_base-q4_k_m.gguf -c 2048
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```
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