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--- |
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license: other |
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license_name: mrl |
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language: |
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- en |
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- zh |
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base_model: allura-org/Bigger-Body-8b |
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library_name: transformers |
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tags: |
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- axolotl |
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- roleplay |
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- conversational |
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- chat |
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- llama-cpp |
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- gguf-my-repo |
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--- |
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# Triangle104/Bigger-Body-8b-Q5_K_S-GGUF |
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This model was converted to GGUF format from [`allura-org/Bigger-Body-8b`](https://huggingface.co/allura-org/Bigger-Body-8b) 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/Bigger-Body-8b) for more details on the model. |
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--- |
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A roleplay-focused pseudo full-finetune of Ministral Instruct 2410. The successor to the Ink series. |
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Dataset |
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- |
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The Bigger Body (referred to as Ink v2.1, because that's still the |
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internal name) mix is absolutely disgusting. It's even more cursed than |
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the original Ink mix. |
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(Public) Original Datasets |
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-Fizzarolli/limarp-processed |
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-Norquinal/OpenCAI - two_users split |
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-allura-org/Celeste1.x-data-mixture |
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-mapsila/PIPPA-ShareGPT-formatted-named |
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allenai/tulu-3-sft-personas-instruction-following |
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-readmehay/medical-01-reasoning-SFT-json |
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-LooksJuicy/ruozhiba |
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-shibing624/roleplay-zh-sharegpt-gpt4-data |
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-CausalLM/Retrieval-SFT-Chat |
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-ToastyPigeon/fujin-filtered-instruct |
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Recommended Settings |
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Chat template: Mistral v7-tekken (NOT v3-tekken !!!! the main difference is that v7 has specific [SYSTEM_PROMPT] and [/SYSTEM_PROMPT] tags) |
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Recommended samplers (not the be-all-end-all, try some on your own!): |
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I have literally no idea. you're on your own. |
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Hyperparams |
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General |
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Epochs = 2 |
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LR = 2e-6 |
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LR Scheduler = Cosine |
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Optimizer = Apollo-mini |
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Optimizer target modules = all_linear |
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Effective batch size = 16 |
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Weight Decay = 0.01 |
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Warmup steps = 50 |
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Total steps = 920 |
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Credits |
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Humongous thanks to the people who created the data. |
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Big thanks to all Allura members for testing and emotional support ilya /platonic |
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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/Bigger-Body-8b-Q5_K_S-GGUF --hf-file bigger-body-8b-q5_k_s.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/Bigger-Body-8b-Q5_K_S-GGUF --hf-file bigger-body-8b-q5_k_s.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/Bigger-Body-8b-Q5_K_S-GGUF --hf-file bigger-body-8b-q5_k_s.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/Bigger-Body-8b-Q5_K_S-GGUF --hf-file bigger-body-8b-q5_k_s.gguf -c 2048 |
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``` |
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