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--- |
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base_model: Felladrin/TinyMistral-248M-SFT-v4 |
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datasets: |
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- OpenAssistant/oasst_top1_2023-08-25 |
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inference: false |
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license: apache-2.0 |
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model_creator: Felladrin |
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model_name: TinyMistral-248M-SFT-v4 |
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pipeline_tag: text-generation |
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quantized_by: afrideva |
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tags: |
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- text-generation |
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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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widget: |
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- text: '<|im_start|>user |
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Invited some friends to come home today. Give me some ideas for games to play |
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with them!<|im_end|> |
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<|im_start|>assistant' |
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- text: '<|im_start|>user |
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How do meteorologists predict how much air pollution will be produced in the next |
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year?<|im_end|> |
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<|im_start|>assistant' |
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- text: '<|im_start|>user |
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Who is Mona Lisa?<|im_end|> |
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<|im_start|>assistant' |
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- text: '<|im_start|>user |
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Heya!<|im_end|> |
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<|im_start|>assistant |
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Hi! How may I help you today?<|im_end|> |
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<|im_start|>user |
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I need to build a simple website. Where should I start learning about web development?<|im_end|> |
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<|im_start|>assistant' |
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- text: '<|im_start|>user |
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What are some potential applications for quantum computing?<|im_end|> |
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<|im_start|>assistant' |
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- text: '<|im_start|>user |
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Write the specs of a game about dragons and warriors in a fantasy world.<|im_end|> |
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<|im_start|>assistant' |
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- text: "<|im_start|>user\nGot a question for you!<|im_end|>\n<|im_start|>assistant\nSure! |
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What's it?<|im_end|>\n<|im_start|>user\nWhy do you love cats so much!? \U0001F408<|im_end|>\n<|im_start|>assistant" |
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- text: '<|im_start|>user |
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Tell me about the pros and cons of social media.<|im_end|> |
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<|im_start|>assistant' |
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--- |
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# Felladrin/TinyMistral-248M-SFT-v4-GGUF |
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|
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Quantized GGUF model files for [TinyMistral-248M-SFT-v4](https://huggingface.co/Felladrin/TinyMistral-248M-SFT-v4) from [Felladrin](https://huggingface.co/Felladrin) |
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| Name | Quant method | Size | |
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| ---- | ---- | ---- | |
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| [tinymistral-248m-sft-v4.fp16.gguf](https://huggingface.co/afrideva/TinyMistral-248M-SFT-v4-GGUF/resolve/main/tinymistral-248m-sft-v4.fp16.gguf) | fp16 | 497.75 MB | |
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| [tinymistral-248m-sft-v4.q2_k.gguf](https://huggingface.co/afrideva/TinyMistral-248M-SFT-v4-GGUF/resolve/main/tinymistral-248m-sft-v4.q2_k.gguf) | q2_k | 116.20 MB | |
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| [tinymistral-248m-sft-v4.q3_k_m.gguf](https://huggingface.co/afrideva/TinyMistral-248M-SFT-v4-GGUF/resolve/main/tinymistral-248m-sft-v4.q3_k_m.gguf) | q3_k_m | 131.01 MB | |
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| [tinymistral-248m-sft-v4.q4_k_m.gguf](https://huggingface.co/afrideva/TinyMistral-248M-SFT-v4-GGUF/resolve/main/tinymistral-248m-sft-v4.q4_k_m.gguf) | q4_k_m | 156.60 MB | |
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| [tinymistral-248m-sft-v4.q5_k_m.gguf](https://huggingface.co/afrideva/TinyMistral-248M-SFT-v4-GGUF/resolve/main/tinymistral-248m-sft-v4.q5_k_m.gguf) | q5_k_m | 180.16 MB | |
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| [tinymistral-248m-sft-v4.q6_k.gguf](https://huggingface.co/afrideva/TinyMistral-248M-SFT-v4-GGUF/resolve/main/tinymistral-248m-sft-v4.q6_k.gguf) | q6_k | 205.20 MB | |
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| [tinymistral-248m-sft-v4.q8_0.gguf](https://huggingface.co/afrideva/TinyMistral-248M-SFT-v4-GGUF/resolve/main/tinymistral-248m-sft-v4.q8_0.gguf) | q8_0 | 265.26 MB | |
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## Original Model Card: |
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# Locutusque's TinyMistral-248M trained on OpenAssistant TOP-1 Conversation Threads |
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|
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- Base model: [Locutusque/TinyMistral-248M](https://huggingface.co/Locutusque/TinyMistral-248M) |
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- Dataset: [OpenAssistant/oasst_top1_2023-08-25](https://huggingface.co/datasets/OpenAssistant/oasst_top1_2023-08-25) |
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- Availability in other ML formats: |
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- GGUF: [Felladrin/gguf-TinyMistral-248M-SFT-v4](https://huggingface.co/Felladrin/gguf-TinyMistral-248M-SFT-v4) |
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- ONNX: [Felladrin/onnx-TinyMistral-248M-SFT-v4](https://huggingface.co/Felladrin/onnx-TinyMistral-248M-SFT-v4) |
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## Recommended Prompt Format |
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``` |
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<|im_start|>user |
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{message}<|im_end|> |
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<|im_start|>assistant |
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``` |
