Files
HyzeMini-V2-400M-Q4_0-GGUF/README.md
ModelHub XC 5aae2b9ef2 初始化项目,由ModelHub XC社区提供模型
Model: HyzeAI/HyzeMini-V2-400M-Q4_0-GGUF
Source: Original Platform
2026-06-17 15:38:17 +08:00

1.8 KiB

license, language, pipeline_tag, tags, base_model
license language pipeline_tag tags base_model
apache-2.0
en
text-generation
text-generation-inference
code
Hitesh_V_Founder
https://chat.hyze.dev
llama-cpp
gguf-my-repo
HyzeAI/HyzeMini-V2-400M

HyzeAI/HyzeMini-V2-400M-Q4_0-GGUF

This model was converted to GGUF format from HyzeAI/HyzeMini-V2-400M 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 HyzeAI/HyzeMini-V2-400M-Q4_0-GGUF --hf-file hyzemini-v2-400m-q4_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo HyzeAI/HyzeMini-V2-400M-Q4_0-GGUF --hf-file hyzemini-v2-400m-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 HyzeAI/HyzeMini-V2-400M-Q4_0-GGUF --hf-file hyzemini-v2-400m-q4_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo HyzeAI/HyzeMini-V2-400M-Q4_0-GGUF --hf-file hyzemini-v2-400m-q4_0.gguf -c 2048