--- base_model: - Novaciano/GRONEKILLER_REBORN-3.2-1B - jahyungu/Llama-3.2-1B-Instruct_Open-Critic-GPT_cluster9 - minions-stanford/minion-llama-3.2-1B-instruct - nqdhocai/LogicLlama-3.2-1B-MALLS-v1 - mveroe/Llama-3.2-1B-Instruct-distillation-alpaca-3.0-HarmfulLLMLat-sauce2 - thuanan/Llama-3.2-1B-RLHF-2k-vi-alpaca library_name: transformers tags: - not-for-all-audiences - nsfw - 4-bit - 1b - uncensored - abliterated - llama - rp - roleplay license: apache-2.0 language: - en - es --- # NSFW Ameba 3.2 1B
IMG-20250506-210550
--- # merge This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). --- ## Use with llama.cpp Install llama.cpp through brew (works on Mac and Linux) ```bash brew install llama.cpp ``` Invoke the llama.cpp server or the CLI. ### CLI: ```bash llama-cli --hf-repo Novaciano/Ameba-3.2-1B-Q5_K_M-GGUF --hf-file ameba-3.2-1b-q5_k_m.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo Novaciano/Ameba-3.2-1B-Q5_K_M-GGUF --hf-file ameba-3.2-1b-q5_k_m.gguf -c 2048 ``` Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) 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 Novaciano/Ameba-3.2-1B-Q5_K_M-GGUF --hf-file ameba-3.2-1b-q5_k_m.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo Novaciano/Ameba-3.2-1B-Q5_K_M-GGUF --hf-file ameba-3.2-1b-q5_k_m.gguf -c 2048 ```