Transformers
GGUF
English
Microsoft
ChatBench
Interactive Benchmark
User Simulator
Benchmarking
llama-cpp
gguf-my-repo
How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ysn-rfd/OpenELM-3B-Instruct-GGUF:# Run inference directly in the terminal:
llama cli -hf ysn-rfd/OpenELM-3B-Instruct-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 ysn-rfd/OpenELM-3B-Instruct-GGUF:# Run inference directly in the terminal:
./llama-cli -hf ysn-rfd/OpenELM-3B-Instruct-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 ysn-rfd/OpenELM-3B-Instruct-GGUF:# Run inference directly in the terminal:
./build/bin/llama-cli -hf ysn-rfd/OpenELM-3B-Instruct-GGUF:Use Docker
docker model run hf.co/ysn-rfd/OpenELM-3B-Instruct-GGUF:Quick Links
chatbench-distilgpt2
Model creator: microsoft
Original model: microsoft/chatbench-distilgpt2
GGUF quantization: provided by ysn-rfd using llama.cpp
Special thanks
🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.
Use with Ollama
ollama run "hf.co/ysn-rfd/OpenELM-3B-Instruct-GGUF:F16"
Use with LM Studio
lms load "ysn-rfd/OpenELM-3B-Instruct-GGUF"
Use with llama.cpp CLI
llama-cli --hf "ysn-rfd/OpenELM-3B-Instruct-GGUF:F16" -p "The meaning to life and the universe is"
Use with llama.cpp Server:
llama-server --hf "ysn-rfd/OpenELM-3B-Instruct-GGUF:F16" -c 4096
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Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf ysn-rfd/OpenELM-3B-Instruct-GGUF:# Run inference directly in the terminal: llama cli -hf ysn-rfd/OpenELM-3B-Instruct-GGUF: