How to use from
llama.cpp
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Adun/llama-3-typhoon-v1.5x-70b-instruct-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Adun/llama-3-typhoon-v1.5x-70b-instruct-gguf:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Adun/llama-3-typhoon-v1.5x-70b-instruct-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Adun/llama-3-typhoon-v1.5x-70b-instruct-gguf:Q4_K_M
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 Adun/llama-3-typhoon-v1.5x-70b-instruct-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Adun/llama-3-typhoon-v1.5x-70b-instruct-gguf:Q4_K_M
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 Adun/llama-3-typhoon-v1.5x-70b-instruct-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Adun/llama-3-typhoon-v1.5x-70b-instruct-gguf:Q4_K_M
Use Docker
docker model run hf.co/Adun/llama-3-typhoon-v1.5x-70b-instruct-gguf:Q4_K_M
Quick Links

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Check out the documentation for more information.

This is Llama3-Typhoon v1.5x-70B-instruct GGUF 4 bit model

Convert original model (scb10x/llama-3-typhoon-v1.5x-70b-instruct) to GGUF Q4_K_M

System diagram

scb10x/llama-3-typhoon-v1.5x-70b-instruct

mode info.

https://aiotplatform.blogspot.com/2024/07/llama3-typhoon-v15-scb10x-llm.html

System diagram https://aiotplatform.blogspot.com/2024/07/llama3-typhoon-v15-scb10x-llm.html

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Model size
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Architecture
llama
Hardware compatibility
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