--- license: apache-2.0 base_model: SubtleOne/Rombos-Qwen2.5-Writer-32b library_name: transformers tags: - merge - mergekit - llama-cpp - gguf-my-repo --- # Triangle104/Rombos-Qwen2.5-Writer-32b-Q5_K_S-GGUF This model was converted to GGUF format from [`SubtleOne/Rombos-Qwen2.5-Writer-32b`](https://huggingface.co./SubtleOne/Rombos-Qwen2.5-Writer-32b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co./spaces/ggml-org/gguf-my-repo) space. Refer to the [original model card](https://huggingface.co./SubtleOne/Rombos-Qwen2.5-Writer-32b) for more details on the model. --- Model details: - This model is a merge using Rombos's top-ranked 32b model, based on Qwen 2.5, and merging three creative writing finetunes. The creative content is a serious upgrade over the base it started with, and I enjoyed it in my DnD RPG campaign. Merge This is a merge of pre-trained language models created using mergekit. Merge Method This model was merged using the DELLA merge method using Rombos-LLM-V2.5-Qwen-32b as a base. Models Merged The following models were included in the merge: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2 allura-org/Qwen2.5-32b-RP-Ink nbeerbower/Qwen2.5-Gutenberg-Doppel-32B Configuration The following YAML configuration was used to produce this model: base_model: rombodawg/Rombos-LLM-V2.5-Qwen-32b parameters: int8_mask: true rescale: false normalize: true dtype: bfloat16 tokenizer_source: union merge_method: dare_ties models: - model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2 parameters: weight: [0.4] density: [0.55] - model: nbeerbower/Qwen2.5-Gutenberg-Doppel-32B parameters: weight: [0.3] density: [0.55] - model: allura-org/Qwen2.5-32b-RP-Ink parameters: weight: [0.4] density: [0.55] --- ## 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 Triangle104/Rombos-Qwen2.5-Writer-32b-Q5_K_S-GGUF --hf-file rombos-qwen2.5-writer-32b-q5_k_s.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo Triangle104/Rombos-Qwen2.5-Writer-32b-Q5_K_S-GGUF --hf-file rombos-qwen2.5-writer-32b-q5_k_s.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 Triangle104/Rombos-Qwen2.5-Writer-32b-Q5_K_S-GGUF --hf-file rombos-qwen2.5-writer-32b-q5_k_s.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo Triangle104/Rombos-Qwen2.5-Writer-32b-Q5_K_S-GGUF --hf-file rombos-qwen2.5-writer-32b-q5_k_s.gguf -c 2048 ```