MEGA MIND
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Mixture of Experts enable models to be pretrained with far less compute, which means you can dramatically scale up the model or dataset size with the • 3 items • Updated • 1
A Mixture of Experts !
https://github.com/spydaz
LeroyDyer/Mixtral_AI_Cyber_MegaMind-Q4_K_S-GGUF
This model was converted to GGUF format from LeroyDyer/Mixtral_AI_Cyber_MegaMind using llama.cpp via the GGML.ai's GGUF-it 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_Cyber_MegaMind-Q4_K_S-GGUF --model mixtral_ai_cyber_megamind.Q4_K_S.gguf -p "The meaning to life and the universe is "
Server:
llama-server --hf-repo LeroyDyer/Mixtral_AI_Cyber_MegaMind-Q4_K_S-GGUF --model mixtral_ai_cyber_megamind.Q4_K_S.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_cyber_megamind.Q4_K_S.gguf -n 128
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