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Gemma 4 E2B It Uncensored MAX Q4 K M GGUF

This model was converted to GGUF format from prithivMLmods/gemma-4-E2B-it-Uncensored-MAX 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 modelprithivMLmods/gemma-4-E2B-it-Uncensored-MAXVersionRevision e0e9a86

Model source

Kind
Other
File size
1.36–1.83 GB
Base model
prithivMLmods/gemma-4-E2B-it-Uncensored-MAX
Version
vRevision e0e9a86
Updated
Sep 26, 2026
Downloads
885
Source
Hugging Face

Source description

ShadowOkami/gemma-4-E2B-it-Uncensored-MAX-Q4_K_M-GGUF

This model was converted to GGUF format from prithivMLmods/gemma-4-E2B-it-Uncensored-MAX 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 ShadowOkami/gemma-4-E2B-it-Uncensored-MAX-Q4_K_M-GGUF --hf-file gemma-4-e2b-it-uncensored-max-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo ShadowOkami/gemma-4-E2B-it-Uncensored-MAX-Q4_K_M-GGUF --hf-file gemma-4-e2b-it-uncensored-max-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 ShadowOkami/gemma-4-E2B-it-Uncensored-MAX-Q4_K_M-GGUF --hf-file gemma-4-e2b-it-uncensored-max-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo ShadowOkami/gemma-4-E2B-it-Uncensored-MAX-Q4_K_M-GGUF --hf-file gemma-4-e2b-it-uncensored-max-q4_k_m.gguf -c 2048

Sources

1 source
Hugging FacePrimaryVersion e0e9a8683c857f41c6e71ed029a6760a04b6c58f
huggingface.co/ShadowOkami/gemma-4-E2B-it-Uncensored-MAX-Q4_K_M-GGUF/tree/e0e9a8683c857f41c6e71ed029a6760a04b6c58f

Verified Sep 26

Model artifacts

2 artifacts

gemma-4-e2b-it-uncensored-max-q4_k_m-00001-of-00002.gguf

gguf · 1.83 GB · SHA-256 d53974385df8…8053 · Hugging Face

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gemma-4-e2b-it-uncensored-max-q4_k_m-00002-of-00002.gguf

gguf · 1.36 GB · SHA-256 9eb08a62afc5…1d68 · Hugging Face

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Source excerpts

2 excerpts

--- license: apache-2.0 base_model: prithivMLmods/gemma-4-E2B-it-Uncensored-MAX language: - en pipeline_tag: any-to-any library_name: transformers tags: - text-generation-inference - uncensored - abliterated - unfiltered - unredacted - refusal-ablated - vllm - pytorch - bf16 - max - alignment-modified - reasoning - agent - llama-cpp - gguf-my-repo datasets: - prithivMLmods/harm_bench --- # ShadowOkami/gemma-4-E2B-it-Uncensored-MAX-Q4_K_M-GGUF This model was converted to GGUF format from [`prithivMLmods/gemma-4-E2B-it-Uncensored-MAX`](https://huggingface.co/prithivMLmods/gemma-4-E2B-it-Uncensored-MAX) 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/prithivMLmods/gemma-4-E2B-it-Uncensored-MAX) 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 ShadowOkami/gemma-4-E2B-it-Uncensored-MAX-Q4_K_M-GGUF --hf-file gemma-4-e2b-it-uncensored-max-q4_k_m.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo ShadowOkami/gemma-4-E2B-it-Uncensored-MAX-Q4_K_M-GGUF --hf-file gemma-4-e2b-it-uncensored-max-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 ShadowOkami/gemma-4-E2B-it-Uncensored-MAX-Q4_K_M-GGUF --hf-file gemma-4-e2b-it-uncensored-max-q4_k_m.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo ShadowOkami/gemma-4-E2B-it-Uncensored-MAX-Q4_K_M-GGUF --hf-file gemma-4-e2b-it-uncensored-max-q4_k_m.gguf -c 2048 ```

Source context: 885 downloads · 4 likes · Pipeline any-to-any · Library transformers · Repo ShadowOkami/gemma-4-E2B-it-Uncensored-MAX-Q4_K_M-GGUF