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README.md
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Quantization made by Richard Erkhov.
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[Github](https://github.com/RichardErkhov)
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[Discord](https://discord.gg/pvy7H8DZMG)
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[Request more models](https://github.com/RichardErkhov/quant_request)
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VersatiLlama-Llama-3.2-3B-Instruct-Abliterated - GGUF
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- Model creator: https://huggingface.co/Devarui379/
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- Original model: https://huggingface.co/Devarui379/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated/
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| Name | Quant method | Size |
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| ---- | ---- | ---- |
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| [VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q2_K.gguf](https://huggingface.co/RichardErkhov/Devarui379_-_VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-gguf/blob/main/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q2_K.gguf) | Q2_K | 1.27GB |
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| [VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Devarui379_-_VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-gguf/blob/main/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q3_K_S.gguf) | Q3_K_S | 1.44GB |
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| [VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q3_K.gguf](https://huggingface.co/RichardErkhov/Devarui379_-_VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-gguf/blob/main/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q3_K.gguf) | Q3_K | 1.57GB |
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| [VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Devarui379_-_VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-gguf/blob/main/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q3_K_M.gguf) | Q3_K_M | 1.57GB |
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| [VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Devarui379_-_VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-gguf/blob/main/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q3_K_L.gguf) | Q3_K_L | 1.69GB |
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| [VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Devarui379_-_VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-gguf/blob/main/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.IQ4_XS.gguf) | IQ4_XS | 1.71GB |
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| [VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q4_0.gguf](https://huggingface.co/RichardErkhov/Devarui379_-_VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-gguf/blob/main/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q4_0.gguf) | Q4_0 | 1.79GB |
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| [VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Devarui379_-_VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-gguf/blob/main/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.IQ4_NL.gguf) | IQ4_NL | 1.79GB |
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| [VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Devarui379_-_VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-gguf/blob/main/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q4_K_S.gguf) | Q4_K_S | 1.8GB |
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| [VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q4_K.gguf](https://huggingface.co/RichardErkhov/Devarui379_-_VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-gguf/blob/main/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q4_K.gguf) | Q4_K | 1.88GB |
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| [VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Devarui379_-_VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-gguf/blob/main/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q4_K_M.gguf) | Q4_K_M | 1.88GB |
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| [VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q4_1.gguf](https://huggingface.co/RichardErkhov/Devarui379_-_VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-gguf/blob/main/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q4_1.gguf) | Q4_1 | 1.95GB |
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| [VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q5_0.gguf](https://huggingface.co/RichardErkhov/Devarui379_-_VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-gguf/blob/main/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q5_0.gguf) | Q5_0 | 2.11GB |
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| [VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Devarui379_-_VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-gguf/blob/main/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q5_K_S.gguf) | Q5_K_S | 2.11GB |
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| [VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q5_K.gguf](https://huggingface.co/RichardErkhov/Devarui379_-_VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-gguf/blob/main/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q5_K.gguf) | Q5_K | 2.16GB |
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| [VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Devarui379_-_VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-gguf/blob/main/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q5_K_M.gguf) | Q5_K_M | 2.16GB |
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| [VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q5_1.gguf](https://huggingface.co/RichardErkhov/Devarui379_-_VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-gguf/blob/main/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q5_1.gguf) | Q5_1 | 2.28GB |
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| [VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q6_K.gguf](https://huggingface.co/RichardErkhov/Devarui379_-_VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-gguf/blob/main/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q6_K.gguf) | Q6_K | 2.46GB |
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| [VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q8_0.gguf](https://huggingface.co/RichardErkhov/Devarui379_-_VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-gguf/blob/main/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.Q8_0.gguf) | Q8_0 | 3.19GB |
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Original model description:
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---
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base_model:
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- meta-llama/Llama-3.2-3B-Instruct
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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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---
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# Model Card for Model ID
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# VersatiLlama-Llama-3.2-3B-Instruct-Abliterated
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### Model Description
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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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Check the quantized model here: [Devarui379/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-Imatrix-GGUF](https://huggingface.co/Devarui379/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated-Imatrix-GGUF)
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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](https://huggingface.co/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
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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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