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README.md

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+---
+license: apache-2.0
+base_model: FINAL-Bench/Darwin-4B-Genesis
+tags:
+- merge
+- evolutionary-merge
+- darwin
+- darwin-v6
+- model-mri
+- cross-architecture
+- ffn-crossbreed
+- cma-es
+- hybrid-vigor
+- transformer-mamba
+- reasoning
+- gemma4
+- qwen3.5
+- gated-deltanet
+- korean
+- multilingual
+- gpqa
+- open-source
+- apache-2.0
+- world-first
+- llama-cpp
+- gguf-my-repo
+language:
+- ko
+- en
+- zh
+- ja
+- de
+- fr
+- es
+pipeline_tag: text-generation
+model-index:
+- name: Darwin-4B-Genesis
+  results:
+  - task:
+      type: text-generation
+      name: Korean Cultural Understanding
+    dataset:
+      name: CLIcK
+      type: EunsuKim/CLIcK
+    metrics:
+    - type: accuracy
+      value: 92.0
+      name: Accuracy
+      verified: false
+  - task:
+      type: text-generation
+      name: Multi-Step Reasoning
+    dataset:
+      name: MuSR
+      type: TAUR-Lab/MuSR
+    metrics:
+    - type: accuracy
+      value: 70.0
+      name: Accuracy
+      verified: false
+---
+
+# rikunarita-2/Darwin-4B-Genesis-Q5_K_M-GGUF
+This model was converted to GGUF format from [`FINAL-Bench/Darwin-4B-Genesis`](https://huggingface.co/FINAL-Bench/Darwin-4B-Genesis) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
+Refer to the [original model card](https://huggingface.co/FINAL-Bench/Darwin-4B-Genesis) for more details on the model.
+
+## 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:
+```bash
+llama-cli --hf-repo rikunarita-2/Darwin-4B-Genesis-Q5_K_M-GGUF --hf-file darwin-4b-genesis-q5_k_m-imat.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo rikunarita-2/Darwin-4B-Genesis-Q5_K_M-GGUF --hf-file darwin-4b-genesis-q5_k_m-imat.gguf -c 2048
+```
+
+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 rikunarita-2/Darwin-4B-Genesis-Q5_K_M-GGUF --hf-file darwin-4b-genesis-q5_k_m-imat.gguf -p "The meaning to life and the universe is"
+```
+or
+```
+./llama-server --hf-repo rikunarita-2/Darwin-4B-Genesis-Q5_K_M-GGUF --hf-file darwin-4b-genesis-q5_k_m-imat.gguf -c 2048
+```