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
Upload README.md with huggingface_hub
Browse files
README.md
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---
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base_model: DavidAU/Gemma-3-4b-it-Uncensored-DBL-X
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language:
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- en
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library_name: transformers
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license: apache-2.0
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pipeline_tag: text-generation
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tags:
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- Gemma 3
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- instruct
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- 128k context
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- not-for-all-audiences
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- all use cases
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- r rated
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- x rated
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- function calling
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- roleplaying
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- chat
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- Uncensored
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- creative
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- general usage
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- problem solving
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- brainstorming
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- solve riddles
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- fiction writing
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- plot generation
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- sub-plot generation
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- story generation
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- scene continue
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- storytelling
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- fiction story
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- story
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- writing
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- fiction
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- swearing
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- horror
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- llama-cpp
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- gguf-my-repo
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---
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# Triangle104/Gemma-3-4b-it-Uncensored-DBL-X-Q4_K_S-GGUF
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This model was converted to GGUF format from [`DavidAU/Gemma-3-4b-it-Uncensored-DBL-X`](https://huggingface.co/DavidAU/Gemma-3-4b-it-Uncensored-DBL-X) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/DavidAU/Gemma-3-4b-it-Uncensored-DBL-X) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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```bash
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brew install llama.cpp
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```
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Invoke the llama.cpp server or the CLI.
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### CLI:
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```bash
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llama-cli --hf-repo Triangle104/Gemma-3-4b-it-Uncensored-DBL-X-Q4_K_S-GGUF --hf-file gemma-3-4b-it-uncensored-dbl-x-q4_k_s.gguf -p "The meaning to life and the universe is"
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```
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### Server:
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```bash
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llama-server --hf-repo Triangle104/Gemma-3-4b-it-Uncensored-DBL-X-Q4_K_S-GGUF --hf-file gemma-3-4b-it-uncensored-dbl-x-q4_k_s.gguf -c 2048
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```
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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.
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Step 1: Clone llama.cpp from GitHub.
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```
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git clone https://github.com/ggerganov/llama.cpp
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```
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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).
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```
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cd llama.cpp && LLAMA_CURL=1 make
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```
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Step 3: Run inference through the main binary.
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```
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./llama-cli --hf-repo Triangle104/Gemma-3-4b-it-Uncensored-DBL-X-Q4_K_S-GGUF --hf-file gemma-3-4b-it-uncensored-dbl-x-q4_k_s.gguf -p "The meaning to life and the universe is"
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```
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or
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```
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./llama-server --hf-repo Triangle104/Gemma-3-4b-it-Uncensored-DBL-X-Q4_K_S-GGUF --hf-file gemma-3-4b-it-uncensored-dbl-x-q4_k_s.gguf -c 2048
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```
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