Can you run Ling Mini 2.0 locally?

Ling Mini family · 2026 · 16.3B parameters (1.4B activated per token) · Hugging Face model card

How much VRAM does Ling Mini 2.0 need at each quantization?

Ling Mini 2.0 needs 10.9 GB of VRAM at Q4_K_M. The table below lists weights-only size and total VRAM including overhead for each common quantization level with 4k and 32k token contexts.

Method: weights = parameters × bits-per-weight (Q4_K_M ≈ 4.8, Q5_K_M ≈ 5.7, Q6_K ≈ 6.6, Q8_0 ≈ 8.5, FP16 = 16), plus 10% loading overhead, plus KV cache from the verified architecture config (20 layers, 4 KV heads, 128 head dim). Source: HF-verified 2026-09-30 via plain api (gated=false safetensors.total=16255643392 params=16.26B ctx=32768 license=mit repo=inclusionAI/Ling-mini-2.0@a810f6416bc4e1e29c9d7f271dd2fa7e56e71eab layers=20 hidden=2048 kv_heads=4 heads=16 vocab=157184). MoE: num_experts=256 num_experts_per_tok=8 active_params_b=1.43 (vendor model card (1.43B activated of 16.26B total); config num_experts=256 routed 8 per token). VRAM figures are documented calculations (Q4-class ~0.6 GB per B params, on active params for MoE rows), not measurements. release_date is the HF repo lastModified date observed on the verification pass. No tok/s or benchmark scores invented.

Which GPUs can run Ling Mini 2.0 locally?

At Q4_K_M with a 4k context, Ling Mini 2.0 needs 10.9 GB of VRAM. The lists below are computed live from our GPU database and grouped by how much headroom the card has. Disclosure: CompareAIHardware.com participates in the Amazon Associates program and earns from qualifying purchases through links on this page. Affiliate relationships do not influence our recommendations.

Runs Ling Mini 2.0 comfortably (25%+ VRAM headroom)

Minimum GPUs that fit Ling Mini 2.0 at Q4_K_M

These GPUs hold the model but leave little headroom — keep contexts short.

Needs 2+ GPUs to run Ling Mini 2.0

One of these cards is too small on its own, but a pair (tensor or pipeline parallel, ~90% efficiency) covers the 10.9 GB requirement. See our multi-GPU guide for setup.

Can a Mac run Ling Mini 2.0?

Yes — these Apple Silicon machines fit Ling Mini 2.0 at Q4_K_M, since macOS lets the GPU use about 75% of unified memory. Generation speed is bound by memory bandwidth, so the GB/s column matters as much as capacity.

Can Ling Mini 2.0 run on mini PCs, Jetson, or NPU devices?

These edge and NPU devices from our database have enough memory for Ling Mini 2.0 at Q4_K_M. Their memory bandwidth is far below discrete GPUs, so expect a fraction of desktop generation speed.

Which pre-built systems can run Ling Mini 2.0?

These mini PCs and workstations from our database fit Ling Mini 2.0 at Q4_K_M. Usable-memory figures are conservative: Windows shares about half of system RAM with the GPU by default (Linux can expose more), macOS lets Apple Silicon GPUs use about 75% of unified memory, and Linux unified-memory systems such as GB10 expose roughly 90%. Generation speed is bound by memory bandwidth, so compare the GB/s column before buying.

Frequently asked questions