This model was converted to GGUF format from NousResearch/Nous-Capybara-3B-V1.9 using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Prompt Format

The model follows ChatML prompt format

<|im_start|>system
You are a helpful AI assistant.<|im_end|>
<|im_start|>user
How are you<|im_end|>
<|im_start|>assistant
I am doing well!<|im_end|>

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

bash

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo PJRM/Nous-Capybara-3B-V1.9-Q4_0-GGUF --hf-file nous-capybara-3b-v1.9-q4_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo PJRM/Nous-Capybara-3B-V1.9-Q4_0-GGUF --hf-file nous-capybara-3b-v1.9-q4_0.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo PJRM/Nous-Capybara-3B-V1.9-Q4_0-GGUF --hf-file nous-capybara-3b-v1.9-q4_0.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo PJRM/Nous-Capybara-3B-V1.9-Q4_0-GGUF --hf-file nous-capybara-3b-v1.9-q4_0.gguf -c 2048