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A comparison of small 2-10B LLM models on Hindi text using the best of LLaMA3, Gemma and Sarvam 2B
Run
Examples
API
Llama 3 8B (Meta AI) | Gemma 2 9B (Google) | Gemma 7B (Google) | Sarvam 2B (sarvamai)
⚙️ Settings
Avoid Repetition
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The maximum number of tokens to generate in the completion. Increase to generate longer responses.
Higher values allow the LLM to take more risks. Try values larger than 1 for more creative applications or 0 to ensure that LLM gives the same answer when given the same user input.
How many answers should the copilot generate? Additional answer outputs increase the cost of each run.
Run cost = 5 credits
Breakdown: 1Cr for Gemma 2 9B (Google) + 1Cr for Gemma 7B (Google) + 1Cr for Llama 3 8B (Meta AI) + 1Cr for Sarvam 2B (sarvamai) + 1Cr/run
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Gemma 2 9B (Google)
Gemma 7B (Google)
Sarvam 2B (sarvamai)
Llama 3 8B (Meta AI)
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