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.
Modellquelle
Quellenbeschreibung
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.
Quellen
1 QuelleVerifiziert 26. Sept.
Modellartefakte
2 Artefaktegemma-4-e2b-it-uncensored-max-q4_k_m-00001-of-00002.gguf
gguf · 1,83 GB · SHA-256 d53974385df8…8053 · Hugging Face
Herunterladengemma-4-e2b-it-uncensored-max-q4_k_m-00002-of-00002.gguf
gguf · 1,36 GB · SHA-256 9eb08a62afc5…1d68 · Hugging Face
HerunterladenQuellenauszüge
2 AuszügeInstall llama.cpp through brew (works on Mac and Linux)
brew install llama.cpp
Invoke the llama.cpp server or the 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"
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
--- 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