Triangle104/BetaCeti-Beta-4B-Prime1-Q4_K_S-GGUF

This model was converted to GGUF format from prithivMLmods/BetaCeti-Beta-4B-Prime1 using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

---

BetaCeti-Beta-4B-Prime1 is a compact, coding-optimized language model built on the Qwen3-4B architecture, tailored for high-accuracy code generation, debugging, and technical reasoning. With 4 billion parameters, it strikes a balance between performance and efficiency, making it an ideal assistant for developers, educators, and engineers working in constrained environments or requiring fast inference.

---

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.

CLI:

llama-cli --hf-repo Triangle104/BetaCeti-Beta-4B-Prime1-Q4_K_S-GGUF --hf-file betaceti-beta-4b-prime1-q4_k_s.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/BetaCeti-Beta-4B-Prime1-Q4_K_S-GGUF --hf-file betaceti-beta-4b-prime1-q4_k_s.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 Triangle104/BetaCeti-Beta-4B-Prime1-Q4_K_S-GGUF --hf-file betaceti-beta-4b-prime1-q4_k_s.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Triangle104/BetaCeti-Beta-4B-Prime1-Q4_K_S-GGUF --hf-file betaceti-beta-4b-prime1-q4_k_s.gguf -c 2048