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--- |
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base_model: Keynote-Technology/TinyKAI-3B-beta |
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inference: false |
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license: apache-2.0 |
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model_creator: Keynote-Technology |
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model_name: TinyKAI-3B-beta |
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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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# Keynote-Technology/TinyKAI-3B-beta-GGUF |
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Quantized GGUF model files for [TinyKAI-3B-beta](https://huggingface.co/Keynote-Technology/TinyKAI-3B-beta) from [Keynote-Technology](https://huggingface.co/Keynote-Technology) |
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| Name | Quant method | Size | |
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| ---- | ---- | ---- | |
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| [tinykai-3b-beta.q2_k.gguf](https://huggingface.co/afrideva/TinyKAI-3B-beta-GGUF/resolve/main/tinykai-3b-beta.q2_k.gguf) | q2_k | 2.15 GB | |
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| [tinykai-3b-beta.q3_k_m.gguf](https://huggingface.co/afrideva/TinyKAI-3B-beta-GGUF/resolve/main/tinykai-3b-beta.q3_k_m.gguf) | q3_k_m | 2.27 GB | |
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| [tinykai-3b-beta.q4_k_m.gguf](https://huggingface.co/afrideva/TinyKAI-3B-beta-GGUF/resolve/main/tinykai-3b-beta.q4_k_m.gguf) | q4_k_m | 2.58 GB | |
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| [tinykai-3b-beta.q5_k_m.gguf](https://huggingface.co/afrideva/TinyKAI-3B-beta-GGUF/resolve/main/tinykai-3b-beta.q5_k_m.gguf) | q5_k_m | 2.76 GB | |
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| [tinykai-3b-beta.q6_k.gguf](https://huggingface.co/afrideva/TinyKAI-3B-beta-GGUF/resolve/main/tinykai-3b-beta.q6_k.gguf) | q6_k | 3.64 GB | |
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| [tinykai-3b-beta.q8_0.gguf](https://huggingface.co/afrideva/TinyKAI-3B-beta-GGUF/resolve/main/tinykai-3b-beta.q8_0.gguf) | q8_0 | 3.64 GB | |
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## Original Model Card: |
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TinyKAI 3B is a fine-tuned LLM (Large Language Model) based off of [OpenLlama 3B v2](https://huggingface.co/openlm-research/open_llama_3b_v2). |
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The TinyKAI models are a series of lightweight LLMs under 5 Billion parameters, usually used for research. |
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## Direct Use |
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TinyKAI 3B is optimal for research on large language models, specifically the influence of web data on the properties of large language models (fairness, safety, limitations, capabilities, etc.). |
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## Training |
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This model was trained on a mixture of the [Falcon refined-web dataset](https://huggingface.co/datasets/tiiuae/falcon-refinedweb), the [StarCoder dataset](https://huggingface.co/datasets/bigcode/starcoderdata) and the wikipedia, arxiv, book and stackexchange part of the [RedPajama dataset](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T). |
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## Banned Use |
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Production use without adequate assessment of risks and mitigation; any use cases which may be considered irresponsible or harmful or insulting to anyone or any certain group. |
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## Limitations |
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TinyKAI 3B is trained on English data only, and will not generate appropriately reasonable content in other languages. Being trained on a representative of the web, it will carry the stereotypes and biases commonly encountered online. |
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## Recommendations |
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We recommend users of TinyKAI 3B to consider finetuning it for personal use, and for precautions to be taken for any commercial use. |
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## WARNING! |
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This model runs on an older version of transformers, v4.10.0, and therefore may be unstable. |
