ModelHub XC 1c31ee99f7 初始化项目,由ModelHub XC社区提供模型
Model: PJRM/ProtoSex-RP-Gemma2-2B-Q4_0-GGUF
Source: Original Platform
2026-06-06 09:55:15 +08:00

base_model, library_name, tags, license, language, pipeline_tag
base_model library_name tags license language pipeline_tag
Novaciano/ProtoSex-RP-Gemma2-2B transformers
1b
nsfw
abliterated
uncensored
sillytavern
koboldcpp
rp
roleplay
merge
not-for-all-audiences
llama-cpp
gguf-my-repo
gemma
es
en
text-generation

PJRM/ProtoSex-RP-Gemma2-2B-Q4_0-GGUF

This model was converted to GGUF format from Novaciano/ProtoSex-RP-Gemma2-2B 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 PJRM/ProtoSex-RP-Gemma2-2B-Q4_0-GGUF --hf-file protosex-rp-gemma2-2b-q4_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo PJRM/ProtoSex-RP-Gemma2-2B-Q4_0-GGUF --hf-file protosex-rp-gemma2-2b-q4_0.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 PJRM/ProtoSex-RP-Gemma2-2B-Q4_0-GGUF --hf-file protosex-rp-gemma2-2b-q4_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo PJRM/ProtoSex-RP-Gemma2-2B-Q4_0-GGUF --hf-file protosex-rp-gemma2-2b-q4_0.gguf -c 2048
Description
Model synced from source: PJRM/ProtoSex-RP-Gemma2-2B-Q4_0-GGUF
Readme 24 KiB