Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf maywell/PiVoT-MoE-GGUF:# Run inference directly in the terminal:
llama-cli -hf maywell/PiVoT-MoE-GGUF:Use pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf maywell/PiVoT-MoE-GGUF:# Run inference directly in the terminal:
./llama-cli -hf maywell/PiVoT-MoE-GGUF:Build from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf maywell/PiVoT-MoE-GGUF:# Run inference directly in the terminal:
./build/bin/llama-cli -hf maywell/PiVoT-MoE-GGUF:Use Docker
docker model run hf.co/maywell/PiVoT-MoE-GGUF:PiVot-MoE
Model Description
PiVoT-MoE, is an advanced AI model specifically designed for roleplaying purposes. It has been trained using a combination of four 10.7B sized experts, each with their own specialized characteristic, all fine-tuned to bring a unique and diverse roleplaying experience.
The Mixture of Experts (MoE) technique is utilized in this model, allowing the experts to work together synergistically, resulting in a more cohesive and natural conversation flow. The MoE architecture allows for a higher level of flexibility and adaptability, enabling PiVoT-MoE to handle a wide variety of roleplaying scenarios and characters.
Based on the PiVoT-10.7B-Mistral-v0.2-RP model, PiVoT-MoE takes it a step further with the incorporation of the MoE technique. This means that not only does the model have an expansive knowledge base, but it also has the ability to mix and match its expertise to better suit the specific roleplaying scenario.
Prompt Template - Alpaca (ChatML works)
{system}
### Instruction:
{instruction}
### Response:
{response}
- Downloads last month
- 44
3-bit
4-bit
6-bit
Install from brew
# Start a local OpenAI-compatible server with a web UI: llama-server -hf maywell/PiVoT-MoE-GGUF:# Run inference directly in the terminal: llama-cli -hf maywell/PiVoT-MoE-GGUF: