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--- |
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license: apache-2.0 |
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base_model: allura-org/Q3-8B-Kintsugi |
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library_name: transformers |
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tags: |
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- mergekit |
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- axolotl |
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- unsloth |
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- roleplay |
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- conversational |
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- llama-cpp |
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- gguf-my-repo |
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datasets: |
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- PygmalionAI/PIPPA |
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- Alfitaria/nemotron-ultra-reasoning-synthkink |
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- PocketDoc/Dans-Prosemaxx-Gutenberg |
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- FreedomIntelligence/Medical-R1-Distill-Data |
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- cognitivecomputations/SystemChat-2.0 |
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- allenai/tulu-3-sft-personas-instruction-following |
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- kalomaze/Opus_Instruct_25k |
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- simplescaling/s1K-claude-3-7-sonnet |
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- ai2-adapt-dev/flan_v2_converted |
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- grimulkan/theory-of-mind |
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- grimulkan/physical-reasoning |
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- nvidia/HelpSteer3 |
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- nbeerbower/gutenberg2-dpo |
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- nbeerbower/gutenberg-moderne-dpo |
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- nbeerbower/Purpura-DPO |
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- antiven0m/physical-reasoning-dpo |
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- allenai/tulu-3-IF-augmented-on-policy-70b |
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- NobodyExistsOnTheInternet/system-message-DPO |
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--- |
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# Triangle104/Q3-8B-Kintsugi-Q4_K_M-GGUF |
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This model was converted to GGUF format from [`allura-org/Q3-8B-Kintsugi`](https://huggingface.co/allura-org/Q3-8B-Kintsugi) 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/allura-org/Q3-8B-Kintsugi) for more details on the model. |
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--- |
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Q3-8B-Kintsugi is a roleplaying model finetuned from Qwen3-8B-Base. |
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During testing, Kintsugi punched well above its weight class in terms of parameters, especially for 1-on-1 roleplaying and general storywriting. |
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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/Q3-8B-Kintsugi-Q4_K_M-GGUF --hf-file q3-8b-kintsugi-q4_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/Q3-8B-Kintsugi-Q4_K_M-GGUF --hf-file q3-8b-kintsugi-q4_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/Q3-8B-Kintsugi-Q4_K_M-GGUF --hf-file q3-8b-kintsugi-q4_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/Q3-8B-Kintsugi-Q4_K_M-GGUF --hf-file q3-8b-kintsugi-q4_k_m.gguf -c 2048 |
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``` |
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