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Luna 4b

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

KindOtherVersionRevision 9e4abf2

Model source

Kind
Other
File size
4.10 GB
Version
vRevision 9e4abf2
Updated
Sep 18, 2026
Downloads
12
Source
Hugging Face

Source description

plszz/Luna-4b

Use with llama.cpp

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

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

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 Flexy0/gemma-4-E4B-it-Q2_K-GGUF --hf-file gemma-4-e4b-it-q2_k.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Flexy0/gemma-4-E4B-it-Q2_K-GGUF --hf-file gemma-4-e4b-it-q2_k.gguf -c 2048

Sources

1 source
Hugging FacePrimaryVersion 9e4abf2a218447b71420cf51e1a7d0cf0e7b9c00
huggingface.co/plszz/Luna-4b/tree/9e4abf2a218447b71420cf51e1a7d0cf0e7b9c00

Verified Sep 8

Model artifacts

1 artifact

gemma-4-e4b-it-q2_k.gguf

gguf · 4.10 GB · SHA-256 62c06367ff29…16a5 · Hugging Face

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Source excerpts

2 excerpts

--- library_name: transformers license: apache-2.0 license_link: https://ai.google.dev/gemma/docs/gemma_4_license pipeline_tag: any-to-any tags: - llama-cpp - gguf-my-repo --- # plszz/Luna-4b ## 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. Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) 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 Flexy0/gemma-4-E4B-it-Q2_K-GGUF --hf-file gemma-4-e4b-it-q2_k.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo Flexy0/gemma-4-E4B-it-Q2_K-GGUF --hf-file gemma-4-e4b-it-q2_k.gguf -c 2048 ```

Source context: 12 downloads · 0 likes · Pipeline any-to-any · Library transformers · Repo plszz/Luna-4b