Unverified50% confidenceFactExact time
The full 763B FP8 weights are split into 48 shards totaling about 510GB, which consumer hardware struggles to accommodate; 4-bit quantization is relatively stable, while 3-bit produces infinite loops.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/18/2026
First Seen
Valid until: 1/16/2027
Sources
DeepSeek V4.1 Flash Update: The Parameter Truth, Benchmark Controversy, and Cost Revolution
bilibiliAI技术投降派10/18/2026
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Related Claims
VerifiedA 35B model requires approximately 70GB of VRAM at FP16 precision, far exceeding the RTX 5090's 32GB capacity, so single-GPU deployment requires quantization.77% similarUnverifiedUP主使用FP8精度部署千问3.8 27B在48GB显卡上，跑4个并发request占用约46GB76% similarVerified以LLaMA-3 70B（80层、64头、每头128维）为例，单个token的KV Cache约占2.6MB（FP16精度），32K上下文的KV Cache总量约达83GB76% similarVerifiedA 140 GB FP16 70B model can be compressed to approximately 35–40 GB after 4-bit quantization, reducing communication overhead by about 75%; 2-bit quantization can compress it to approximately 18 GB but introduces accuracy loss.74% similarUnverifiedThe P100 uses four HBM2 stacks with a total bandwidth of 732 GB/s, far exceeding the 320 GB/s of the consumer-grade GTX 1080 from the same period.74% similar
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