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New LLM Spark-X2.6-1.7B achieves 769 tokens/sec on RTX 4090

By PulseAugur Editorial · [1 sources] ·

A new language model, Spark-X2.6-1.7B, has been released with a companion technology called DSpark, achieving a throughput of 769 tokens per second on a single NVIDIA RTX 4090 GPU. This performance was demonstrated on the GSM8K benchmark using a Q4_K_M quantization with llama.cpp. The DSpark technology enables a speedup of up to 2.43x for BF16 precision, improving efficiency by verifying multiple draft tokens in parallel. The model is available for download on Hugging Face and ModelScope under the Apache 2.0 license. AI

IMPACT This release demonstrates significant improvements in inference speed for smaller models, potentially enabling more efficient local deployment and use.

RANK_REASON Release of a new language model with performance benchmarks and associated technology. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New LLM Spark-X2.6-1.7B achieves 769 tokens/sec on RTX 4090

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Release of a new language model with performance benchmarks and associated technology. [lever_c_demoted from research: ic=1 ai=1.0]
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model release, infra
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · SparkLLM ·

    769 tok/s on a Single RTX 4090: Spark-X2.6-1.7B DSpark

    <p><strong>769 tokens per second on a single NVIDIA RTX 4090.</strong> Spark-X2.6-1.7B with DSpark reaches that peak in the published GSM8K benchmark using a Q4_K_M target with llama.cpp, up from 424 tok/s without DSpark.</p> <p>For BF16, the highest reported speedup is <strong>2…

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