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README.md
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---
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base_model: vihangd/smartyplats-1.1b-v2
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inference: false
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license: apache-2.0
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model_creator: vihangd
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model_name: smartyplats-1.1b-v2
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pipeline_tag: text-generation
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quantized_by: afrideva
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tags:
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- gguf
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- ggml
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- quantized
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- q2_k
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- q3_k_m
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- q4_k_m
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- q5_k_m
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- q6_k
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- q8_0
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---
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# vihangd/smartyplats-1.1b-v2-GGUF
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Quantized GGUF model files for [smartyplats-1.1b-v2](https://huggingface.co/vihangd/smartyplats-1.1b-v2) from [vihangd](https://huggingface.co/vihangd)
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| Name | Quant method | Size |
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| ---- | ---- | ---- |
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| [smartyplats-1.1b-v2.fp16.gguf](https://huggingface.co/afrideva/smartyplats-1.1b-v2-GGUF/resolve/main/smartyplats-1.1b-v2.fp16.gguf) | fp16 | 2.20 GB |
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| [smartyplats-1.1b-v2.q2_k.gguf](https://huggingface.co/afrideva/smartyplats-1.1b-v2-GGUF/resolve/main/smartyplats-1.1b-v2.q2_k.gguf) | q2_k | 483.12 MB |
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| [smartyplats-1.1b-v2.q3_k_m.gguf](https://huggingface.co/afrideva/smartyplats-1.1b-v2-GGUF/resolve/main/smartyplats-1.1b-v2.q3_k_m.gguf) | q3_k_m | 550.82 MB |
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| [smartyplats-1.1b-v2.q4_k_m.gguf](https://huggingface.co/afrideva/smartyplats-1.1b-v2-GGUF/resolve/main/smartyplats-1.1b-v2.q4_k_m.gguf) | q4_k_m | 668.79 MB |
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| [smartyplats-1.1b-v2.q5_k_m.gguf](https://huggingface.co/afrideva/smartyplats-1.1b-v2-GGUF/resolve/main/smartyplats-1.1b-v2.q5_k_m.gguf) | q5_k_m | 783.02 MB |
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| [smartyplats-1.1b-v2.q6_k.gguf](https://huggingface.co/afrideva/smartyplats-1.1b-v2-GGUF/resolve/main/smartyplats-1.1b-v2.q6_k.gguf) | q6_k | 904.39 MB |
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| [smartyplats-1.1b-v2.q8_0.gguf](https://huggingface.co/afrideva/smartyplats-1.1b-v2-GGUF/resolve/main/smartyplats-1.1b-v2.q8_0.gguf) | q8_0 | 1.17 GB |
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## Original Model Card:
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<p><h1> SmartyPlats-1.1b V2 </h1></p>
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An experimental finetune of TinyLLaMA 2T with Alpaca-QLoRA
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<h2> Datasets </h2>
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Trained on alpca style datasets
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<p><h2> Prompt Template </h2></p>
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Uses alpaca style prompt template
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