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Darlanio/MicroLLM-Test001-Q4_K_M-GGUF overview

Darlanio/MicroLLM Test001 Q4 K M GGUF This model was converted to GGUF format from Darlanio/MicroLLM Test001 https://huggingface.co/Darlanio/MicroLLM Test001 u…

ggufllama-cppgguf-my-repobase_model:Darlanio/MicroLLM-Test001base_model:quantized:Darlanio/MicroLLM-Test001license:gpl-3.0endpoints_compatibleregion:usconversational

Runs locally from ~87.4 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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microllm-test001-q4_k_m.ggufGGUFQ4_K_M87.4 MBDownload

Model Details

Model IDDarlanio/MicroLLM-Test001-Q4_K_M-GGUF
AuthorDarlanio
Pipeline
Licensegpl-3.0
Base modelDarlanio/MicroLLM-Test001
Last modified2026-07-04T19:38:42.000Z

Model README

---

license: gpl-3.0

tags:

  • llama-cpp
  • gguf-my-repo

base_model: Darlanio/MicroLLM-Test001

---

Darlanio/MicroLLM-Test001-Q4_K_M-GGUF

This model was converted to GGUF format from Darlanio/MicroLLM-Test001 using llama.cpp via the ggml.ai's GGUF-my-repo space.

Refer to the original model card for more details on the model.

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 Darlanio/MicroLLM-Test001-Q4_K_M-GGUF --hf-file microllm-test001-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Darlanio/MicroLLM-Test001-Q4_K_M-GGUF --hf-file microllm-test001-q4_k_m.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 Darlanio/MicroLLM-Test001-Q4_K_M-GGUF --hf-file microllm-test001-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Darlanio/MicroLLM-Test001-Q4_K_M-GGUF --hf-file microllm-test001-q4_k_m.gguf -c 2048

Run Darlanio/MicroLLM-Test001-Q4_K_M-GGUF with guIDE

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