metadata

language:
  - en
license: apache-2.0
library_name: transformers
tags:
  - text-generation-inference
  - transformers
  - unsloth
  - mistral
  - trl
  - code
  - 'medical '
  - farmer
  - doctor
  - Mega-Series
  - Cyber-Series
  - Role-Play
  - Self-Rag
  - ThinkingBot
  - milestone
  - mega-series
  - SpydazWebAI
  - thinking-AI
  - llama-cpp
  - gguf-my-repo
base_model: LeroyDyer/Mixtral_AI_CyberUltron
datasets:
  - gretelai/synthetic_text_to_sql
  - HuggingFaceTB/cosmopedia
  - teknium/OpenHermes-2.5
  - Open-Orca/SlimOrca
  - Open-Orca/OpenOrca
  - cognitivecomputations/dolphin-coder
  - databricks/databricks-dolly-15k
  - yahma/alpaca-cleaned
  - uonlp/CulturaX
  - mwitiderrick/SwahiliPlatypus
  - swahili
  - Rogendo/English-Swahili-Sentence-Pairs
  - ise-uiuc/Magicoder-Evol-Instruct-110K
  - meta-math/MetaMathQA
  - abacusai/ARC_DPO_FewShot
  - abacusai/MetaMath_DPO_FewShot
  - abacusai/HellaSwag_DPO_FewShot
  - HaltiaAI/Her-The-Movie-Samantha-and-Theodore-Dataset
metrics:
  - accuracy
  - bertscore
  - bleu
  - brier_score
  - cer
  - character
  - charcut_mt
  - chrf
  - code_eval

LeroyDyer/Mixtral_AI_CyberUltron_DPO-Q4_K_M-GGUF

This model was converted to GGUF format from LeroyDyer/Mixtral_AI_CyberUltron_DPO using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew.

brew install ggerganov/ggerganov/llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo LeroyDyer/Mixtral_AI_CyberUltron_DPO-Q4_K_M-GGUF --model mixtral_ai_cyberultron_dpo.Q4_K_M.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo LeroyDyer/Mixtral_AI_CyberUltron_DPO-Q4_K_M-GGUF --model mixtral_ai_cyberultron_dpo.Q4_K_M.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

git clone https://github.com/ggerganov/llama.cpp &&             cd llama.cpp &&             make &&             ./main -m mixtral_ai_cyberultron_dpo.Q4_K_M.gguf -n 128