MistralLite is a Amazon's fine-tuned Mistral-7B-v0.1 language model, with enhanced capabilities of processing long context (up to 32k tokens).

Mistral Lite (32k)

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AI Image Generation with Stable Diffusion

AI Image Generation with Dall-E

AI Image Generation with Latent Consistency Model (LCM)

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This chatbot will answer all your questions about Acme's HR policy

Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.

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The penalty used to modify the next token probabilities based on whether the same token has already been generated in the current sequence. This encourages diversity in the generated text.

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Temperature controls the randomness of the generated text. Lower temperature results in less random completions. As the temperature approaches zero, the model will become deterministic and repetitive. Higher temperature results in more random completions.

An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.

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Mistral Lite (32k)

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