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--- |
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base_model: Devarui379/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated |
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license: cc-by-4.0 |
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language: |
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- en |
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pipeline_tag: text-generation |
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library_name: transformers |
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tags: |
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- llama-cpp |
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- gguf-my-repo |
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--- |
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# Triangle104/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-Q5_K_S-GGUF |
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This model was converted to GGUF format from [`Devarui379/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated`](https://huggingface.co./Devarui379/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated) 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./Devarui379/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated) for more details on the model. |
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--- |
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Model details: |
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- |
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Small but Smart |
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Fine-Tuned on Vast dataset of Conversations |
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Able to Generate Human like text with high performance within its size. |
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It is Very Versatile when compared for it's size and Parameters and offers capability almost as good as Llama 3.1 8B Instruct |
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Feel free to Check it out!! |
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[This model was trained for 5hrs on GPU T4 15gb vram] |
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Developed by: Meta AI |
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Fine-Tuned by: Devarui379 |
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Model type: Transformers |
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Language(s) (NLP): English |
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License: cc-by-4.0 |
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Model Sources [optional] |
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base model:meta-llama/Llama-3.2-3B-Instruct |
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Repository: Devarui379/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated |
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Demo: Use LM Studio with the Quantized version |
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Uses |
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Use desired System prompt when using in LM Studio The optimal chat template seems to be Jinja but feel free to test it out as you want! |
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Technical Specifications |
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Model Architecture and Objective |
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Llama 3.2 |
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Hardware |
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NVIDIA TESLA T4 GPU 15GB VRAM |
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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/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-Q5_K_S-GGUF --hf-file versatillama-llama-3.2-3b-instruct-abliterated-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/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-Q5_K_S-GGUF --hf-file versatillama-llama-3.2-3b-instruct-abliterated-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/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-Q5_K_S-GGUF --hf-file versatillama-llama-3.2-3b-instruct-abliterated-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/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-Q5_K_S-GGUF --hf-file versatillama-llama-3.2-3b-instruct-abliterated-q5_k_s.gguf -c 2048 |
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``` |
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