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pot99rta/PatriMaidV2-12B-GGUF
PatriMaidV2-12B-GGUF is a machine learning model from pot99rta. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
Downloads · 30 days
6
1% of all-time downloads
All-time downloads
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.gguf38.7 GB · 100%
From the Hugging Face model README
Neon Glow
Models Merged:
1. PocketDoc/Dans-PersonalityEngine-V1.3.0-12b
2. pot99rta/PatriMaid-12B-Forgottenslop-NeonMell
Preset:
Use ChatML or Mistral - You can use Phi too!
Due to Dan using Phi as a present template, best mix is Phi and Mistral.
For some weird reason...
This model was converted to GGUF format from pot99rta/PatriMaidV2-12B using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Install llama.cpp through brew (works on Mac and Linux)
brew install llama.cpp
Invoke the llama.cpp server or the CLI.
llama-cli --hf-repo pot99rta/PatriMaidV2-12B-Q8_0-GGUF --hf-file patrimaidv2-12b-q8_0.gguf -p "The meaning to life and the universe is"
llama-server --hf-repo pot99rta/PatriMaidV2-12B-Q8_0-GGUF --hf-file patrimaidv2-12b-q8_0.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
git clone https://github.com/ggerganov/llama.cpp
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).
cd llama.cpp && LLAMA_CURL=1 make
Step 3: Run inference through the main binary.
./llama-cli --hf-repo pot99rta/PatriMaidV2-12B-Q8_0-GGUF --hf-file patrimaidv2-12b-q8_0.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo pot99rta/PatriMaidV2-12B-Q8_0-GGUF --hf-file patrimaidv2-12b-q8_0.gguf -c 2048