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--- |
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base_model: Hastagaras/Zabuza-8B-Llama-3.1 |
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library_name: transformers |
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license: llama3.1 |
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pipeline_tag: text-generation |
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tags: |
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- mergekit |
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- merge |
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- not-for-all-audiences |
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- llama-cpp |
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- gguf-my-repo |
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--- |
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# Triangle104/Zabuza-8B-Llama-3.1-Q8_0-GGUF |
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This model was converted to GGUF format from [`Hastagaras/Zabuza-8B-Llama-3.1`](https://huggingface.co/Hastagaras/Zabuza-8B-Llama-3.1) 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/Hastagaras/Zabuza-8B-Llama-3.1) for more details on the model. |
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--- |
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Model details: |
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This model is a combination of merge, abliteration technique (using baukit) and finetuning. |
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The base model is arcee-ai/Llama-3.1-SuperNova-Lite, which underwent abliteration to reduce model refusals. |
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Next, I finetuned the abliterated SuperNova-Lite with 10K diverse examples such as: |
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Claude and Gemini Instruction/RP (15k sloppy examples were removed!, but some may have slipped through.) |
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Human-written Stories/RP (Most stories have dialogue) |
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IFEval-like data (To preserve the model's instruction following ability) |
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Harmful data (To remove disclaimers and moralizing responses, but not 100% disappear.) |
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My sarcastic and rude AI assistant data (Just for my personal satisfaction) |
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Lastly, I merged the model using TIES, inspired by this MERGE by Joseph717171. |
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Chat Template |
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Llama 3.1 Instruct |
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<|start_header_id|>{role}<|end_header_id|> |
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{message}<|eot_id|><|start_header_id|>{role}<|end_header_id|> |
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{message}<|eot_id|> |
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System messages for role-playing should be very detailed if you don't want dry responses. |
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Configuration |
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This is a merge of pre-trained language models created using mergekit. |
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The following YAML configuration was used to produce this model: |
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models: |
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- model: Hastagaras/snovalite-baukit-6-14.FT-L5-7.13-22.27-31 |
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parameters: |
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weight: 1 |
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density: 1 |
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- model: Hastagaras/snovalite-baukit-6-14.FT-L5-7.13-22.27-31 |
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parameters: |
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weight: 1 |
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density: 1 |
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merge_method: ties |
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base_model: meta-llama/Llama-3.1-8B |
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parameters: |
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density: 1 |
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normalize: true |
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int8_mask: true |
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dtype: bfloat16 |
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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/Zabuza-8B-Llama-3.1-Q8_0-GGUF --hf-file zabuza-8b-llama-3.1-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/Zabuza-8B-Llama-3.1-Q8_0-GGUF --hf-file zabuza-8b-llama-3.1-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/Zabuza-8B-Llama-3.1-Q8_0-GGUF --hf-file zabuza-8b-llama-3.1-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/Zabuza-8B-Llama-3.1-Q8_0-GGUF --hf-file zabuza-8b-llama-3.1-q8_0.gguf -c 2048 |
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``` |
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