Ling 3.0 Flash Fin — Hardware Requirements & GPU Compatibility
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Ling 3.0 Flash Fin is a 127.5B-parameter open language model from Inclusion AI. It supports a context window of up to 262,144 tokens. At Q4_K_M it needs about 77.67 GB of VRAM — see which GPUs and Macs can run it below.
342 downloads
58 likesSpecifications
- Publisher
- Inclusion AI
- Parameters
- 127.5B
- Architecture
- BailingMoeV3ForCausalLM
- Context Length
- 262,144 tokens
- Vocabulary Size
- 157,184
- Release Date
- 2026-09-03
- License
- MIT
Get Started
HuggingFace
How Much VRAM Does Ling 3.0 Flash Fin Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_K | 3.40 | 55.4 GB | 167.2 GB | 54.18 GB | 2-bit quantization with K-quant improvements |
| Q3_K_S | 3.50 | 57.0 GB | 168.8 GB | 55.78 GB | 3-bit small quantization |
| Q3_K_M | 3.90 | 63.3 GB | 175.2 GB | 62.15 GB | 3-bit medium quantization |
| Q4_0 | 4.00 | 64.9 GB | 176.8 GB | 63.74 GB | 4-bit legacy quantization |
| Q4_K_M | 4.80 | 77.7 GB | 189.5 GB | 76.49 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 92.0 GB | 203.9 GB | 90.83 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 106.4 GB | 218.2 GB | 105.18 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 128.7 GB | 240.5 GB | 127.49 GB | 8-bit quantization, near-lossless |
Which GPUs Can Run Ling 3.0 Flash Fin?
Q4_K_M · 77.7 GBLing 3.0 Flash Fin (Q4_K_M) requires 77.7 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 101+ GB is recommended. Using the full 262K context window can add up to 111.9 GB, bringing total usage to 189.5 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Ling 3.0 Flash Fin?
Q4_K_M · 77.7 GB18 devices with unified memory can run Ling 3.0 Flash Fin, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, NVIDIA Jetson AGX Thor Developer Kit.
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightWhere to Download Ling 3.0 Flash Fin
Community quantizations of this model — GGUF for llama.cpp, Ollama, and LM Studio, plus AWQ/MLX variants where available.
Frequently Asked Questions
- How much VRAM does Ling 3.0 Flash Fin need?
Ling 3.0 Flash Fin requires 77.7 GB of VRAM at Q4_K_M, or 256.1 GB at BF16. Full 262K context adds up to 111.9 GB (189.5 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 127.5B × 4.8 bits ÷ 8 = 76.5 GB
KV Cache + Overhead ≈ 1.2 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 113 GB (at full 262K context)
VRAM usage by quantization
Q4_K_M77.7 GBQ4_K_M + full context189.5 GB- Can NVIDIA GeForce RTX 5090 run Ling 3.0 Flash Fin?
No — Ling 3.0 Flash Fin requires at least 36.2 GB at IQ2_XXS, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- What's the best quantization for Ling 3.0 Flash Fin?
For Ling 3.0 Flash Fin, Q4_K_M (77.7 GB) offers the best balance of quality and VRAM usage. Q4_K_L (79.3 GB) provides better quality if you have the VRAM. The smallest option is IQ2_XXS at 36.2 GB.
VRAM requirement by quantization
IQ2_XXS36.2 GBQ2_K55.4 GBIQ4_XS69.7 GBQ4_K_M ★77.7 GBQ4_K_L79.3 GBBF16256.1 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run Ling 3.0 Flash Fin on a Mac?
Ling 3.0 Flash Fin requires at least 36.2 GB at IQ2_XXS, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.
- Can I run Ling 3.0 Flash Fin locally?
Yes — Ling 3.0 Flash Fin can run locally on consumer hardware. At Q4_K_M quantization it needs 77.7 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Ling 3.0 Flash Fin?
At Q4_K_M, Ling 3.0 Flash Fin can reach ~62 tok/s on AMD Instinct MI350X. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: NVIDIA B200 → 8000 ÷ 77.7 × 0.65 = ~67 tok/s
Estimated speed at Q4_K_M (77.7 GB)
~67 tok/s~67 tok/s~62 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Ling 3.0 Flash Fin?
At Q4_K_M, the download is about 76.49 GB. The full-precision BF16 version is 254.97 GB. The smallest option (IQ2_XXS) is 35.06 GB.
- Which GPUs can run Ling 3.0 Flash Fin?
No single consumer GPU has enough VRAM to run Ling 3.0 Flash Fin at Q4_K_M (77.7 GB). Multi-GPU or professional hardware is required.
- Which devices can run Ling 3.0 Flash Fin?
19 devices with unified memory can run Ling 3.0 Flash Fin at Q4_K_M (77.7 GB), including ASUS Ascent GX10, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB), Beelink GTR9 Pro (Ryzen AI Max+ 395, 128 GB), Framework Desktop (Ryzen AI Max+ 395, 128 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.