How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf PatronusAI/glider-gguf:# Run inference directly in the terminal:
llama-cli -hf PatronusAI/glider-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 PatronusAI/glider-gguf:# Run inference directly in the terminal:
./llama-cli -hf PatronusAI/glider-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 PatronusAI/glider-gguf:# Run inference directly in the terminal:
./build/bin/llama-cli -hf PatronusAI/glider-gguf:Use Docker
docker model run hf.co/PatronusAI/glider-gguf:Quick Links
Available GGUF versions for the PatronusAI/glider model: [BF16, Q8_0, Q5_K_M, Q4_K_M]
How to load your desired quantized model:
- Select the appropraite GGUF quantization from the available list above
- Run the following code:
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("PatronusAI/glider-gguf", gguf_file="glider_{version_from_list}.gguf")
For loading the Q8_0 version, this script will change to:
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("PatronusAI/glider-gguf", gguf_file="glider_Q8_0.gguf")
For any issues or questions, reach out to Darshan Deshpande or Rebecca Qian
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Install from brew
# Start a local OpenAI-compatible server with a web UI: llama-server -hf PatronusAI/glider-gguf:# Run inference directly in the terminal: llama-cli -hf PatronusAI/glider-gguf: