Xing 4.0 29B-A4B VRAM requirements

VRAM by quantization

Weights plus the KV cache for 8,192 tokens in FP16 and the runtime overhead (0.5 GB plus 10%). Each row opens the calculator with that setting. What the GGUF names mean.

KV cache at long context

All 40 layers use multi-head latent attention. Each extra token of context adds 45 KB of FP16 cache per request. How the KV cache works.

Which GPUs can run Xing 4.0 29B-A4B

With 8,192 tokens of context. Several GPUs means one tensor-parallel group of 2, 4 or 8 cards.

How fast Xing 4.0 29B-A4B writes

Tokens per second for one request with 8,192 tokens of context, estimated from memory bandwidth and the parameters read per token. A dash means it does not fit on one card. Try other settings in the speed calculator.

Longest context on one GPU

How many tokens of context fit on a single card with one request and an FP16 KV cache. "Full" means the model's whole context window fits.

Model details

Parameters

31.2B (31,215,031,088)

Experts

64 routed experts, all loaded

Active per token

4B

Layers

All 40 layers use multi-head latent attention

Attention cache

576 values per token (compressed latent)

Context length

262,144 tokens

Published weights

58.1 GB (BF16)

On Hugging Face

XingChen-AGI/Xing4.0-29B-A4B

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