tencent/HY-MT1.5-1.8B-GPTQ-Int4 using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.1brew install llama.cpp
2llama-cli --hf-repo danvei/HY-MT1.5-1.8B-GPTQ-Int4-IQ4_NL-GGUF --hf-file hy-mt1.5-1.8b-gptq-int4-iq4_nl-imat.gguf -p "The meaning to life and the universe is"llama-server --hf-repo danvei/HY-MT1.5-1.8B-GPTQ-Int4-IQ4_NL-GGUF --hf-file hy-mt1.5-1.8b-gptq-int4-iq4_nl-imat.gguf -c 2048git clone https://github.com/ggerganov/llama.cppLLAMA_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./llama-cli --hf-repo danvei/HY-MT1.5-1.8B-GPTQ-Int4-IQ4_NL-GGUF --hf-file hy-mt1.5-1.8b-gptq-int4-iq4_nl-imat.gguf -p "The meaning to life and the universe is"./llama-server --hf-repo danvei/HY-MT1.5-1.8B-GPTQ-Int4-IQ4_NL-GGUF --hf-file hy-mt1.5-1.8b-gptq-int4-iq4_nl-imat.gguf -c 2048