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--- |
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license: apache-2.0 |
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base_model: SubtleOne/Rombos-Qwen2.5-Writer-32b |
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library_name: transformers |
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tags: |
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- merge |
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- mergekit |
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- llama-cpp |
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- gguf-my-repo |
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--- |
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# Triangle104/Rombos-Qwen2.5-Writer-32b-Q5_K_M-GGUF |
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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. |
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Refer to the [original model card](https://huggingface.co./SubtleOne/Rombos-Qwen2.5-Writer-32b) for more details on the model. |
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--- |
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Model details: |
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- |
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This model is a merge using Rombos's top-ranked 32b model, based on |
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Qwen 2.5, and merging three creative writing finetunes. The creative |
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content is a serious upgrade over the base it started with, and I |
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enjoyed it in my DnD RPG campaign. |
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Merge |
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This is a merge of pre-trained language models created using mergekit. |
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Merge Method |
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This model was merged using the DELLA merge method using Rombos-LLM-V2.5-Qwen-32b as a base. |
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Models Merged |
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The following models were included in the merge: |
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EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2 |
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allura-org/Qwen2.5-32b-RP-Ink |
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nbeerbower/Qwen2.5-Gutenberg-Doppel-32B |
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Configuration |
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The following YAML configuration was used to produce this model: |
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base_model: rombodawg/Rombos-LLM-V2.5-Qwen-32b |
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parameters: |
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int8_mask: true |
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rescale: false |
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normalize: true |
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dtype: bfloat16 |
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tokenizer_source: union |
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merge_method: dare_ties |
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models: |
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- model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2 |
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parameters: |
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weight: [0.4] |
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density: [0.55] |
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- model: nbeerbower/Qwen2.5-Gutenberg-Doppel-32B |
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parameters: |
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weight: [0.3] |
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density: [0.55] |
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- model: allura-org/Qwen2.5-32b-RP-Ink |
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parameters: |
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weight: [0.4] |
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density: [0.55] |
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--- |
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## Use with llama.cpp |
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Install llama.cpp through brew (works on Mac and Linux) |
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```bash |
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brew install llama.cpp |
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``` |
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Invoke the llama.cpp server or the CLI. |
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### CLI: |
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```bash |
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llama-cli --hf-repo Triangle104/Rombos-Qwen2.5-Writer-32b-Q5_K_M-GGUF --hf-file rombos-qwen2.5-writer-32b-q5_k_m.gguf -p "The meaning to life and the universe is" |
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``` |
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### Server: |
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```bash |
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llama-server --hf-repo Triangle104/Rombos-Qwen2.5-Writer-32b-Q5_K_M-GGUF --hf-file rombos-qwen2.5-writer-32b-q5_k_m.gguf -c 2048 |
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``` |
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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. |
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Step 1: Clone llama.cpp from GitHub. |
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``` |
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git clone https://github.com/ggerganov/llama.cpp |
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``` |
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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). |
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``` |
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cd llama.cpp && LLAMA_CURL=1 make |
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``` |
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Step 3: Run inference through the main binary. |
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``` |
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./llama-cli --hf-repo Triangle104/Rombos-Qwen2.5-Writer-32b-Q5_K_M-GGUF --hf-file rombos-qwen2.5-writer-32b-q5_k_m.gguf -p "The meaning to life and the universe is" |
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``` |
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or |
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``` |
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./llama-server --hf-repo Triangle104/Rombos-Qwen2.5-Writer-32b-Q5_K_M-GGUF --hf-file rombos-qwen2.5-writer-32b-q5_k_m.gguf -c 2048 |
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``` |
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