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rombodawg/Rombos-LLM-V2.6-Qwen-14b 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 rombodawg/Rombos-LLM-V2.6-Qwen-14b-Q5_K_M-GGUF --hf-file rombos-llm-v2.6-qwen-14b-q5_k_m.gguf -p "The meaning to life and the universe is"llama-server --hf-repo rombodawg/Rombos-LLM-V2.6-Qwen-14b-Q5_K_M-GGUF --hf-file rombos-llm-v2.6-qwen-14b-q5_k_m.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 rombodawg/Rombos-LLM-V2.6-Qwen-14b-Q5_K_M-GGUF --hf-file rombos-llm-v2.6-qwen-14b-q5_k_m.gguf -p "The meaning to life and the universe is"./llama-server --hf-repo rombodawg/Rombos-LLM-V2.6-Qwen-14b-Q5_K_M-GGUF --hf-file rombos-llm-v2.6-qwen-14b-q5_k_m.gguf -c 2048