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--- |
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license: apache-2.0 |
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base_model: allura-org/MN-12b-RP-Ink |
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tags: |
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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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language: |
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- en |
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--- |
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# Triangle104/MN-12b-RP-Ink-Q8_0-GGUF |
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This model was converted to GGUF format from [`allura-org/MN-12b-RP-Ink`](https://huggingface.co/allura-org/MN-12b-RP-Ink) 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/MN-12b-RP-Ink) for more details on the model. |
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--- |
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Model details: |
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- |
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A roleplay-focused LoRA finetune of Mistral Nemo Instruct. Methodology and hyperparams inspired by SorcererLM and Slush. |
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Renamed to Ink to distinguish from [insert every other rp tune ever], but it's the same data as was used in the Teleut RP model. |
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Dataset |
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The worst mix of data you've ever seen. Like, seriously, you do not want to see the things that went into this model. It's bad. |
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"this is like washing down an adderall with a bottle of methylated rotgut" - inflatebot |
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Quants |
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Static GGUFs |
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Recommended Settings |
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Chat template: Mistral v3-Tekken |
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Recommended samplers (not the be-all-end-all, try some on your own!): |
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Temp 1.25 / MinP 0.1 |
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Temp 1.03 / TopK 200 / MinP 0.05 / TopA 0.2 |
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Hyperparams |
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General |
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Epochs = 2 |
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LR = 6e-5 |
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LR Scheduler = Cosine |
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Optimizer = Paged AdamW 8bit |
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Effective batch size = 12 |
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LoRA |
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Rank = 16 |
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Alpha = 32 |
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Dropout = 0.25 (Inspiration: Slush) |
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Credits |
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Humongous thanks to the people who created the data. I would credit you all, but that would be cheating ;) |
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Big thanks to all Allura members, especially Toasty, for testing and emotional support ilya /platonic |
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Also special thanks to Bot for making the model card image here :3 |
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NO thanks to Infermatic. They suck at hosting models |
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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/MN-12b-RP-Ink-Q8_0-GGUF --hf-file mn-12b-rp-ink-q8_0.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/MN-12b-RP-Ink-Q8_0-GGUF --hf-file mn-12b-rp-ink-q8_0.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/MN-12b-RP-Ink-Q8_0-GGUF --hf-file mn-12b-rp-ink-q8_0.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/MN-12b-RP-Ink-Q8_0-GGUF --hf-file mn-12b-rp-ink-q8_0.gguf -c 2048 |
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``` |
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