Fix ultra-long context prefilling in Qwen3 MoE GGUF models

[guoqingbao]

This PR fixes a long-context prefill issue in GGUF models (including Qwen3-MoE) by updating the underlying Candle library.

A full explanation of why this change is necessary can be found here:

EricLBuehler/candle-vllm#256
EricLBuehler/candle-vllm#255

Changes for candle updates available here:

https://github.com/EricLBuehler/candle/pull/94/files

[github-actions]

Code Metrics Report

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[EricLBuehler]

@guoqingbao thanks, I just merged EricLBuehler/candle#94.

[guoqingbao]

@guoqingbao thanks, I just merged EricLBuehler/candle#94.

The bug in candle::quantize_q8_1 occurs only when the input token count exceeds 65,535 (the gridDim.y limit in CUDA kernel launches). For Qwen3-MoE, the limit is 65,535 / 8, since there are 8 experts per token.

[guoqingbao]

@guoqingbao thanks, I just merged EricLBuehler/candle#94.

This PR should address problems in long context (>65535 or >65535/topk) inference for all gguf models since they all quantize inputs into q8_1 via quantize_q8_1 function.