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Huihui Gemma 4 26B A4B It Abliterated Q4 K M GGUF

This model was converted to GGUF format from huihui-ai/Huihui-gemma-4-26B-A4B-it-abliterated using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

KindOtherBase modelhuihui-ai/Huihui-gemma-4-26B-A4B-it-abliteratedVersionRevision 6d47d87

Model source

Kind
Other
File size
15.6 GB
Base model
huihui-ai/Huihui-gemma-4-26B-A4B-it-abliterated
Version
vRevision 6d47d87
Updated
Sep 18, 2026
Downloads
19
Source
Hugging Face

Source description

beebsluvr/Huihui-gemma-4-26B-A4B-it-abliterated-Q4_K_M-GGUF

This model was converted to GGUF format from huihui-ai/Huihui-gemma-4-26B-A4B-it-abliterated 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 beebsluvr/Huihui-gemma-4-26B-A4B-it-abliterated-Q4_K_M-GGUF --hf-file huihui-gemma-4-26b-a4b-it-abliterated-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo beebsluvr/Huihui-gemma-4-26B-A4B-it-abliterated-Q4_K_M-GGUF --hf-file huihui-gemma-4-26b-a4b-it-abliterated-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 beebsluvr/Huihui-gemma-4-26B-A4B-it-abliterated-Q4_K_M-GGUF --hf-file huihui-gemma-4-26b-a4b-it-abliterated-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo beebsluvr/Huihui-gemma-4-26B-A4B-it-abliterated-Q4_K_M-GGUF --hf-file huihui-gemma-4-26b-a4b-it-abliterated-q4_k_m.gguf -c 2048

Sources

1 source
Hugging FacePrimaryVersion 6d47d87a9ca8193a2bd95261310611e38cc4b963
huggingface.co/beebsluvr/Huihui-gemma-4-26B-A4B-it-abliterated-Q4_K_M-GGUF/tree/6d47d87a9ca8193a2bd95261310611e38cc4b963

Verified Sep 8

Model artifacts

1 artifact

huihui-gemma-4-26b-a4b-it-abliterated-q4_k_m.gguf

gguf · 15.6 GB · SHA-256 74be495359fb…951d · Hugging Face

Download

Source excerpts

2 excerpts

--- library_name: transformers license: apache-2.0 license_link: https://ai.google.dev/gemma/docs/gemma_4_license pipeline_tag: any-to-any base_model: huihui-ai/Huihui-gemma-4-26B-A4B-it-abliterated tags: - abliterated - uncensored - llama-cpp - gguf-my-repo --- # beebsluvr/Huihui-gemma-4-26B-A4B-it-abliterated-Q4_K_M-GGUF This model was converted to GGUF format from [`huihui-ai/Huihui-gemma-4-26B-A4B-it-abliterated`](https://huggingface.co/huihui-ai/Huihui-gemma-4-26B-A4B-it-abliterated) 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/huihui-ai/Huihui-gemma-4-26B-A4B-it-abliterated) 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 beebsluvr/Huihui-gemma-4-26B-A4B-it-abliterated-Q4_K_M-GGUF --hf-file huihui-gemma-4-26b-a4b-it-abliterated-q4_k_m.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo beebsluvr/Huihui-gemma-4-26B-A4B-it-abliterated-Q4_K_M-GGUF --hf-file huihui-gemma-4-26b-a4b-it-abliterated-q4_k_m.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 beebsluvr/Huihui-gemma-4-26B-A4B-it-abliterated-Q4_K_M-GGUF --hf-file huihui-gemma-4-26b-a4b-it-abliterated-q4_k_m.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo beebsluvr/Huihui-gemma-4-26B-A4B-it-abliterated-Q4_K_M-GGUF --hf-file huihui-gemma-4-26b-a4b-it-abliterated-q4_k_m.gguf -c 2048 ```

Source context: 19 downloads · 0 likes · Pipeline any-to-any · Library transformers · Repo beebsluvr/Huihui-gemma-4-26B-A4B-it-abliterated-Q4_K_M-GGUF