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Kraekin/Gemma-4-26B-A4B-StyleTune-V2-IQ4_XS-GGUF overview

Kraekin/Gemma 4 26B A4B StyleTune V2 IQ4 XS GGUF This model was converted to GGUF format from Gryphe/Gemma 4 26B A4B StyleTune V2 https://huggingface.co/Gryphe…

ggufgemma4conversationalinstructfinetuneroleplaycreative-writingstyle-tunellama-cppgguf-my-repotext-generationenbase_model:Gryphe/Gemma-4-26B-A4B-StyleTune-V2base_model:quantized:Gryphe/Gemma-4-26B-A4B-StyleTune-V2license:apache-2.0endpoints_compatibleregion:usimatrix

Runs locally from ~13.33 GB disk (16 GB VRAM class GPUs with llama.cpp / guIDE).

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Pipeline
text-generation
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Repository Files & Downloads

1 GGUF files detected
Direct downloads for local inference
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gemma-4-26b-a4b-styletune-v2-iq4_xs-imat.ggufGGUFIQ4_XS13.33 GBDownload

Model Details

Model IDKraekin/Gemma-4-26B-A4B-StyleTune-V2-IQ4_XS-GGUF
AuthorKraekin
Pipelinetext-generation
Licenseapache-2.0
Base modelGryphe/Gemma-4-26B-A4B-StyleTune-V2
Last modified2026-06-21T05:37:06.000Z

Model README

---

license: apache-2.0

language:

  • en

base_model: Gryphe/Gemma-4-26B-A4B-StyleTune-V2

tags:

  • gemma4
  • conversational
  • instruct
  • finetune
  • roleplay
  • creative-writing
  • style-tune
  • llama-cpp
  • gguf-my-repo

pipeline_tag: text-generation

---

Kraekin/Gemma-4-26B-A4B-StyleTune-V2-IQ4_XS-GGUF

This model was converted to GGUF format from Gryphe/Gemma-4-26B-A4B-StyleTune-V2 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 Kraekin/Gemma-4-26B-A4B-StyleTune-V2-IQ4_XS-GGUF --hf-file gemma-4-26b-a4b-styletune-v2-iq4_xs-imat.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Kraekin/Gemma-4-26B-A4B-StyleTune-V2-IQ4_XS-GGUF --hf-file gemma-4-26b-a4b-styletune-v2-iq4_xs-imat.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 Kraekin/Gemma-4-26B-A4B-StyleTune-V2-IQ4_XS-GGUF --hf-file gemma-4-26b-a4b-styletune-v2-iq4_xs-imat.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Kraekin/Gemma-4-26B-A4B-StyleTune-V2-IQ4_XS-GGUF --hf-file gemma-4-26b-a4b-styletune-v2-iq4_xs-imat.gguf -c 2048

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