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README.md
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# Lite-Mistral-150M-v2-Instruct
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This is a Lite series model based on the Mistral architecture, comprising approximately 157 million parameters. <br>
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The primary goal of this 150 million parameter model was to develop a compact and efficient model capable of operating on a wide range of devices, while maintaining a reasonable level of functionality and coherence for its small size. A smaller model scale may lead to challenges in preserving context over multi-turn conversations. Consequently, there is a risk of inconsistent or inaccurate responses.
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<a href="https://huggingface.co/OuteAI/Lite-Mistral-150M-v2-Instruct">Lite-Mistral-150M-v2-Instruct</a> <br>
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<a href="https://huggingface.co/OuteAI/Lite-Mistral-150M-v2-Instruct-GGUF">Lite-Mistral-150M-v2-Instruct-GGUF</a> <br>
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# Lite-Mistral-150M-v2-Instruct
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This is a Lite series model based on the Mistral architecture, comprising approximately 157 million parameters. <br>
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The primary goal of this 150 million parameter model was to develop a compact and efficient model capable of operating on a wide range of devices, while maintaining a reasonable level of functionality and coherence for its small size. A smaller model scale may lead to challenges in preserving context over multi-turn conversations. Consequently, there is a risk of inconsistent or inaccurate responses. <br>
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The model was trained on ~8 billion tokens.
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<a href="https://huggingface.co/OuteAI/Lite-Mistral-150M-v2-Instruct">Lite-Mistral-150M-v2-Instruct</a> <br>
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<a href="https://huggingface.co/OuteAI/Lite-Mistral-150M-v2-Instruct-GGUF">Lite-Mistral-150M-v2-Instruct-GGUF</a> <br>
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