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// Ant Ling / Ring / Ming · Text LLM

Ring-flash-linear-2.0: VRAM & local deployment

104.2B total · 6.1B active (MoE) parameters. About 70.5 GB at 4-bit and 230 GB at BF16 with one 8K-token request.

released 2025-09-25licence: Commercial OKmemory figures are estimates

01Specs

PublisherAnt Group inclusionAI · inclusionAI
Family / seriesAnt Ling / Ring / Ming · Ring-flash-linear-2.0
TypeText LLM (text-generation)
Parameters104.2B total · 6.1B active (MoE) Source: counted from official safetensors weightsActive parameters from the model card: “while activating only 6.1B parameters”
Context length128K tokens (131,072)max_position_embeddings in config.json
Architecture32 layers · GQA · MoE
Released weightsBF16 · 208 GBdownload
LicenceMIT · Commercial OKPermissive licence (Apache-2.0 / MIT / CC-BY / OpenMDW): commercial use allowed.
Released2025-09-25 (Hugging Face repo created)

02How much VRAM it needs (estimate)

Total = weights + 10% + 0.5GB overhead + KV cache for one request (FP16 KV). More concurrent users multiply the KV column.

PrecisionWeightsTotal @ 8KTotal @ 32KTotal @ 128KSmallest GPUMac
BF16 / FP16 (original)208 GB 230 GB232 GB238 GB 4 × RTX PRO 6000 (384GB)Mac 512GB
FP8 / INT8 / Q8_0111 GB 123 GB124 GB131 GB H200 141GBMac 256GB
4-bit (Q4_K_M / AWQ / GPTQ-Int4)63.2 GB 70.5 GB72.1 GB78.6 GB H100 80GBMac 128GB

KV cache per request: 8K 0.5 GB · 32K 2.1 GB · 128K 8.6 GB

Bits per weight: BF16 16, FP8 8.5, 4-bit 4.85. “Fits” = total ≤ 90% of memory; Mac GPU can use ~2/3 of unified memory (≤36GB) or ~3/4 (larger). For MoE, all experts must be in memory, so size by total parameters. Method →

03How to run it

Only runtimes the publisher or the runtime’s official library names for this model.

Which inference engine to choose →

04Official repositories & quantised builds

1 official repo(s) from inclusionAI.

05Other Ant Ling / Ring / Ming models

All 29 →
ModelParams4-bit totalReleased
Ling-3.0-tiny-UBTree183M1.0 GB2026-10-21
Ling-3.0-flash-UBTree482M1.5 GB2026-10-14
Ming-3.0-asr-tiny8.87B6.4 GB2026-10-14
Ling-3.1-flash560B / 25B375 GB2026-10-13
Ming-3.0-tts-0.5B1.48B1.5 GB2026-09-22
Ming-3.0-tts-tiny8.98B / 1.3B6.5 GB2026-09-22
Ming-Image-0.1-Design6.16B4.6 GB2026-09-17
Ling-3.0-flash-VL124B / 5.5B83.6 GB2026-09-04

06Sources

Data checked 2025-10-23. Parameters, context and licence are copied from the official repository; memory figures are our estimates.

Data updated: Self-host open models(UTC+8)