ModelHub XC c3c1b12f21 初始化项目,由ModelHub XC社区提供模型
Model: chenly124/Nanbeige4.1-3B-heretic-Q8_0-GGUF
Source: Original Platform
2026-05-04 19:18:42 +08:00

license, language, library_name, pipeline_tag, tags, base_model
license language library_name pipeline_tag tags base_model
apache-2.0
en
zh
transformers text-generation
llm
nanbeige
heretic
uncensored
decensored
abliterated
llama-cpp
gguf-my-repo
heretic-org/Nanbeige4.1-3B-heretic

chenly124/Nanbeige4.1-3B-heretic-Q8_0-GGUF

This model was converted to GGUF format from heretic-org/Nanbeige4.1-3B-heretic 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 chenly124/Nanbeige4.1-3B-heretic-Q8_0-GGUF --hf-file nanbeige4.1-3b-heretic-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo chenly124/Nanbeige4.1-3B-heretic-Q8_0-GGUF --hf-file nanbeige4.1-3b-heretic-q8_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 chenly124/Nanbeige4.1-3B-heretic-Q8_0-GGUF --hf-file nanbeige4.1-3b-heretic-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo chenly124/Nanbeige4.1-3B-heretic-Q8_0-GGUF --hf-file nanbeige4.1-3b-heretic-q8_0.gguf -c 2048
Description
Model synced from source: chenly124/Nanbeige4.1-3B-heretic-Q8_0-GGUF
Readme 24 KiB