GGUF
English
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 iandennismiller/samantha-1.1-llama-33b-GGUF:
# Run inference directly in the terminal:
llama cli -hf iandennismiller/samantha-1.1-llama-33b-GGUF:
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf iandennismiller/samantha-1.1-llama-33b-GGUF:
# Run inference directly in the terminal:
llama cli -hf iandennismiller/samantha-1.1-llama-33b-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 iandennismiller/samantha-1.1-llama-33b-GGUF:
# Run inference directly in the terminal:
./llama-cli -hf iandennismiller/samantha-1.1-llama-33b-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 iandennismiller/samantha-1.1-llama-33b-GGUF:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf iandennismiller/samantha-1.1-llama-33b-GGUF:
Use Docker
docker model run hf.co/iandennismiller/samantha-1.1-llama-33b-GGUF:
Quick Links

Eric Hartford's Samantha 1.1 Llama 33B GGUF

Samantha 1.1 is a very smart model. For those of us with 24gb usable RAM (including Apple Silicon with 32gb RAM), this is just about the best model available as of October, 2023.

I've converted the model to GGUF for the sake of compatibility. Currently, only Q4_K_S is available because that's the largest model that runs in 24gb.

For more information, see Eric Hartford's Samantha 1.1 Llama 33B. To examine the original quant, see TheBloke/samantha-1.1-llama-33B-GGML

The particular quants selected for this repo are in support of calm, which is a language model runner that automatically uses the right prompts, templates, context size, etc.

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GGUF
Model size
33B params
Architecture
llama
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