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h34v7
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DXP-Zero-V1.2-24b-Small-Instruct-GGUF

GGUF
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Model card Files
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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 h34v7/DXP-Zero-V1.2-24b-Small-Instruct-GGUF:
# Run inference directly in the terminal:
llama cli -hf h34v7/DXP-Zero-V1.2-24b-Small-Instruct-GGUF:
Install from WinGet (Windows) 
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf h34v7/DXP-Zero-V1.2-24b-Small-Instruct-GGUF:
# Run inference directly in the terminal:
llama cli -hf h34v7/DXP-Zero-V1.2-24b-Small-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 h34v7/DXP-Zero-V1.2-24b-Small-Instruct-GGUF:
# Run inference directly in the terminal:
./llama-cli -hf h34v7/DXP-Zero-V1.2-24b-Small-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 h34v7/DXP-Zero-V1.2-24b-Small-Instruct-GGUF:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf h34v7/DXP-Zero-V1.2-24b-Small-Instruct-GGUF:
Use Docker 
docker model run hf.co/h34v7/DXP-Zero-V1.2-24b-Small-Instruct-GGUF:
Quick Links

These are non-imatrix FP16 here. i1-GGUF here.

The Q2_K is pretty good like 7B models.

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GGUF
Model size
24B params
Architecture
llama
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