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NonMiFrega/mistral-instruct-frankenmerge-Q4_K_M-GGUF overview

NonMiFrega/mistral instruct frankenmerge Q4 K M GGUF This model was converted to GGUF format from osanseviero/mistral instruct frankenmerge https://huggingface…

ggufmergekitmergellama-cppgguf-my-repobase_model:osanseviero/mistral-instruct-frankenmergebase_model:quantized:osanseviero/mistral-instruct-frankenmergelicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~5.04 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).

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1 GGUF files detected
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mistral-instruct-frankenmerge-q4_k_m.ggufGGUFQ4_K_M5.04 GBDownload

Model Details

Model IDNonMiFrega/mistral-instruct-frankenmerge-Q4_K_M-GGUF
AuthorNonMiFrega
Pipeline
Licenseapache-2.0
Base modelosanseviero/mistral-instruct-frankenmerge
Last modified2026-06-26T10:09:51.000Z

Model README

---

base_model: osanseviero/mistral-instruct-frankenmerge

tags:

  • mergekit
  • merge
  • llama-cpp
  • gguf-my-repo

license: apache-2.0

---

NonMiFrega/mistral-instruct-frankenmerge-Q4_K_M-GGUF

This model was converted to GGUF format from osanseviero/mistral-instruct-frankenmerge 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 NonMiFrega/mistral-instruct-frankenmerge-Q4_K_M-GGUF --hf-file mistral-instruct-frankenmerge-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo NonMiFrega/mistral-instruct-frankenmerge-Q4_K_M-GGUF --hf-file mistral-instruct-frankenmerge-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 NonMiFrega/mistral-instruct-frankenmerge-Q4_K_M-GGUF --hf-file mistral-instruct-frankenmerge-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo NonMiFrega/mistral-instruct-frankenmerge-Q4_K_M-GGUF --hf-file mistral-instruct-frankenmerge-q4_k_m.gguf -c 2048

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