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GitHub
2w
2 weeks ago
huawei-csl/KVarN: KVarN is a native vLLM KV-cache quantization backend for your agents: 3-5x more context, throughput above FP16, and FP16-level accuracy. Calibration-free, one flag.
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KVarN: Variance-Normalized KV-Cache Quantization Mitigates Error Accumulation in Reasoning Tasks
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latent.space
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arxiv.org
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arxiv.org
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2w
2 weeks ago
KVarN: Variance-Normalized KV-Cache Quantization Mitigates Error Accumulation in Reasoning Tasks
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vllm.ai
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5w
5 weeks ago
A First Comprehensive Study of TurboQuant: Accuracy and Performance
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r/LocalLLaMA
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Actions for A First Comprehensive Study of TurboQuant: Accuracy and Performance
Covered in 6 articles
latent.space
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2w
2 weeks ago
[AINews] not much happened today
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arxiv.org
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2w
2 weeks ago
KVarN: Variance-Normalized KV-Cache Quantization Mitigates Error Accumulation in Reasoning Tasks
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news.smol.ai
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2w
2 weeks ago
not much happened today | AINews
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2w
2 weeks ago
not much happened today | AINews
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2w
2 weeks ago
#065 - Claude writes 80% of Anthropic's own code, Cloudflare buys Vite, ChatGPT ships Dreaming memory
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何夕2077的个人站
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2w
2 weeks ago
AI资讯日报 2026/6/4
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