TitleOS/rlaif_training_fictional_patriot_experiment
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How to use TitleOS/RLAIF_Patriot_Experiment_F16-GGUF with PEFT:
Task type is invalid.
How to use TitleOS/RLAIF_Patriot_Experiment_F16-GGUF with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for TitleOS/RLAIF_Patriot_Experiment_F16-GGUF to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for TitleOS/RLAIF_Patriot_Experiment_F16-GGUF to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for TitleOS/RLAIF_Patriot_Experiment_F16-GGUF to start chatting
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="TitleOS/RLAIF_Patriot_Experiment_F16-GGUF",
max_seq_length=2048,
)This LoRA adapter was converted to GGUF format from TitleOS/RLAIF_Patriot_Experiment_LoRA via TitleOS's Gguf-my-lora-cutting-edge space.
Refer to the original adapter repository for more details.
# with cli
llama-cli -m base_model.gguf --lora RLAIF_Patriot_Experiment_LoRA-f16.gguf (...other args)
# with server
llama-server -m base_model.gguf --lora RLAIF_Patriot_Experiment_LoRA-f16.gguf (...other args)
To know more about LoRA usage with llama.cpp server, refer to the llama.cpp server documentation.
16-bit
Base model
google/gemma-3n-E4B