Kimi K2.5 — Hardware Requirements & GPU Compatibility
Vision
Kimi K2.5 is an earlier release in Moonshot AI's Kimi K2 series, sharing the roughly 1-trillion-parameter scale of later checkpoints in the line. Released at the start of 2026, it accepts image input alongside text, giving it multimodal capability on top of standard chat use. Its context window reaches 256K tokens, enough for lengthy documents or long conversation histories, and it is released under a custom license outside the standard open-source terms. Because of its size, Kimi K2.5 needs multi-GPU or server-class hardware; most people will use it through a hosted endpoint rather than running it themselves.
312.8K downloads
2.9K likesSpecifications
- Publisher
- Moonshot AI
- Family
- Kimi K2
- Parameters
- 1026.9B
- Architecture
- KimiK25ForConditionalGeneration
- Context Length
- 262,144 tokens
- Vocabulary Size
- 163,840
- Release Date
- 2026-01-01
- License
- Other
Get Started
HuggingFace
How Much VRAM Does Kimi K2.5 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_K | 3.40 | 440.3 GB | 895.2 GB | 436.42 GB | 2-bit quantization with K-quant improvements |
| Q3_K_S | 3.50 | 453.1 GB | 908.0 GB | 449.26 GB | 3-bit small quantization |
| Q3_K_M | 3.90 | 504.5 GB | 959.4 GB | 500.60 GB | 3-bit medium quantization |
| Q4_0 | 4.00 | 517.3 GB | 972.2 GB | 513.44 GB | 4-bit legacy quantization |
| Q4_K_M | 4.80 | 620.0 GB | 1074.9 GB | 616.13 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 735.5 GB | 1190.4 GB | 731.65 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 851.1 GB | 1306.0 GB | 847.18 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 1030.8 GB | 1485.7 GB | 1026.88 GB | 8-bit quantization, near-lossless |
Which GPUs Can Run Kimi K2.5?
Q4_K_M · 620.0 GBKimi K2.5 (Q4_K_M) requires 620.0 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 807+ GB is recommended. Using the full 262K context window can add up to 454.9 GB, bringing total usage to 1074.9 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Kimi K2.5?
Q4_K_M · 620.0 GB2 devices with unified memory can run Kimi K2.5, including NVIDIA DGX H100.
Decent
— Enough memory, may be tightWhere to Download Kimi K2.5
Community quantizations of this model — GGUF for llama.cpp, Ollama, and LM Studio, plus AWQ/MLX variants where available.
Benchmarks
Benchmark details →Related Models
Frequently Asked Questions
- How much VRAM does Kimi K2.5 need?
Kimi K2.5 requires 620.0 GB of VRAM at Q4_K_M, or 2057.6 GB at BF16. Full 262K context adds up to 454.9 GB (1074.9 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 1026.9B × 4.8 bits ÷ 8 = 616.1 GB
KV Cache + Overhead ≈ 3.9 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 458.8 GB (at full 262K context)
VRAM usage by quantization
Q4_K_M620.0 GBQ4_K_M + full context1074.9 GB- Can NVIDIA GeForce RTX 5090 run Kimi K2.5?
No — Kimi K2.5 requires at least 286.3 GB at IQ2_XXS, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- What's the best quantization for Kimi K2.5?
For Kimi K2.5, Q4_K_M (620.0 GB) offers the best balance of quality and VRAM usage. Q4_K_L (632.9 GB) provides better quality if you have the VRAM. The smallest option is IQ2_XXS at 286.3 GB.
VRAM requirement by quantization
IQ2_XXS286.3 GBIQ3_S440.3 GBQ3_K_L530.2 GBQ4_K_M ★620.0 GBQ4_K_L632.9 GBBF162057.6 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run Kimi K2.5 on a Mac?
Kimi K2.5 requires at least 286.3 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 Kimi K2.5 locally?
Yes — Kimi K2.5 can run locally on consumer hardware. At Q4_K_M quantization it needs 620.0 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- What's the download size of Kimi K2.5?
At Q4_K_M, the download is about 616.13 GB. The full-precision BF16 version is 2053.76 GB. The smallest option (IQ2_XXS) is 282.39 GB.
- Which GPUs can run Kimi K2.5?
No single consumer GPU has enough VRAM to run Kimi K2.5 at Q4_K_M (620.0 GB). Multi-GPU or professional hardware is required.
- Which devices can run Kimi K2.5?
2 devices with unified memory can run Kimi K2.5 at Q4_K_M (620.0 GB), including NVIDIA DGX A100 640GB, NVIDIA DGX H100. Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.