ModelHub XC a96978d719 初始化项目,由ModelHub XC社区提供模型
Model: Sangto/Qwen2.5-14B-Instruct-Q8_0-GGUF
Source: Original Platform
2026-04-22 23:44:06 +08:00

base_model, language, license, license_link, pipeline_tag, tags
base_model language license license_link pipeline_tag tags
Qwen/Qwen2.5-14B-Instruct
zho
eng
fra
spa
por
deu
ita
rus
jpn
kor
vie
tha
ara
apache-2.0 https://huggingface.co/Qwen/Qwen2.5-14B-Instruct/blob/main/LICENSE text-generation
chat
llama-cpp
gguf-my-repo

Sangto/Qwen2.5-14B-Instruct-Q8_0-GGUF

This model was converted to GGUF format from Qwen/Qwen2.5-14B-Instruct 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 Sangto/Qwen2.5-14B-Instruct-Q8_0-GGUF --hf-file qwen2.5-14b-instruct-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Sangto/Qwen2.5-14B-Instruct-Q8_0-GGUF --hf-file qwen2.5-14b-instruct-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 Sangto/Qwen2.5-14B-Instruct-Q8_0-GGUF --hf-file qwen2.5-14b-instruct-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Sangto/Qwen2.5-14B-Instruct-Q8_0-GGUF --hf-file qwen2.5-14b-instruct-q8_0.gguf -c 2048
Description
Model synced from source: Sangto/Qwen2.5-14B-Instruct-Q8_0-GGUF
Readme 25 KiB