Text Generation
Transformers
GGUF
English
Gemma 3
instruct
128k context
Not-For-All-Audiences
all use cases
r rated
x rated
function calling
roleplaying
chat
Uncensored
creative
general usage
problem solving
brainstorming
solve riddles
fiction writing
plot generation
sub-plot generation
story generation
scene continue
storytelling
fiction story
story
writing
fiction
swearing
horror
llama-cpp
gguf-my-repo
conversational
metadata
base_model: DavidAU/Gemma-3-4b-it-Uncensored-DBL-X
language:
- en
library_name: transformers
license: apache-2.0
pipeline_tag: text-generation
tags:
- Gemma 3
- instruct
- 128k context
- not-for-all-audiences
- all use cases
- r rated
- x rated
- function calling
- roleplaying
- chat
- Uncensored
- creative
- general usage
- problem solving
- brainstorming
- solve riddles
- fiction writing
- plot generation
- sub-plot generation
- story generation
- scene continue
- storytelling
- fiction story
- story
- writing
- fiction
- swearing
- horror
- llama-cpp
- gguf-my-repo
Triangle104/Gemma-3-4b-it-Uncensored-DBL-X-Q4_K_M-GGUF
This model was converted to GGUF format from DavidAU/Gemma-3-4b-it-Uncensored-DBL-X
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 Triangle104/Gemma-3-4b-it-Uncensored-DBL-X-Q4_K_M-GGUF --hf-file gemma-3-4b-it-uncensored-dbl-x-q4_k_m.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo Triangle104/Gemma-3-4b-it-Uncensored-DBL-X-Q4_K_M-GGUF --hf-file gemma-3-4b-it-uncensored-dbl-x-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 Triangle104/Gemma-3-4b-it-Uncensored-DBL-X-Q4_K_M-GGUF --hf-file gemma-3-4b-it-uncensored-dbl-x-q4_k_m.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo Triangle104/Gemma-3-4b-it-Uncensored-DBL-X-Q4_K_M-GGUF --hf-file gemma-3-4b-it-uncensored-dbl-x-q4_k_m.gguf -c 2048