HY-MT1.5-1.8B-Q4_K_M-GGUF/README.md

library_name, tags, language, base_model

library_name	tags	language	base_model
transformers	translation llama-cpp gguf-my-repo	zh en fr pt es ja tr ru ar ko th it de vi ms id tl hi pl cs nl km my fa gu ur te mr he bn ta uk bo kk mn ug	tencent/HY-MT1.5-1.8B

nuupy/HY-MT1.5-1.8B-Q4_K_M-GGUF

This model was converted to GGUF format from tencent/HY-MT1.5-1.8B 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 nuupy/HY-MT1.5-1.8B-Q4_K_M-GGUF --hf-file hy-mt1.5-1.8b-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo nuupy/HY-MT1.5-1.8B-Q4_K_M-GGUF --hf-file hy-mt1.5-1.8b-q4_k_m.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 nuupy/HY-MT1.5-1.8B-Q4_K_M-GGUF --hf-file hy-mt1.5-1.8b-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo nuupy/HY-MT1.5-1.8B-Q4_K_M-GGUF --hf-file hy-mt1.5-1.8b-q4_k_m.gguf -c 2048