Kimi K3 DSpark — Hardware Requirements & GPU Compatibility
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Kimi K3 DSpark is a 2.2B-parameter open language model from RadixArk in the Kimi K3 family. It supports a context window of up to 1,048,576 tokens. At Q4_K_M it needs about 1.72 GB of VRAM — see which GPUs and Macs can run it below.
4.1M downloads
58 likesSpecifications
- Publisher
- RadixArk
- Family
- Kimi K3
- Parameters
- 2.2B
- Architecture
- DSparkDraftModel
- Context Length
- 1,048,576 tokens
- Vocabulary Size
- 163,840
- Release Date
- 2026-07-27
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HuggingFace
How Much VRAM Does Kimi K3 DSpark Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_K | 3.40 | 1.3 GB | 38.8 GB | 0.96 GB | 2-bit quantization with K-quant improvements |
| Q3_K_M | 3.90 | 1.5 GB | 39.0 GB | 1.10 GB | 3-bit medium quantization |
| Q4_K_M | 4.80 | 1.7 GB | 39.2 GB | 1.35 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 2.0 GB | 39.5 GB | 1.60 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 2.2 GB | 39.7 GB | 1.86 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 2.6 GB | 40.1 GB | 2.25 GB | 8-bit quantization, near-lossless |
| BF16 | 16.00 | 4.9 GB | 42.4 GB | 4.50 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run Kimi K3 DSpark?
Q4_K_M · 1.7 GBKimi K3 DSpark (Q4_K_M) requires 1.7 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 3+ GB is recommended. Using the full 1049K context window can add up to 37.5 GB, bringing total usage to 39.2 GB. 52 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.
Runs great
— Plenty of headroomWhich Devices Can Run Kimi K3 DSpark?
Q4_K_M · 1.7 GB59 devices with unified memory can run Kimi K3 DSpark, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Runs great
— Plenty of headroomWhere to Download Kimi K3 DSpark
Community quantizations of this model — GGUF for llama.cpp, Ollama, and LM Studio, plus AWQ/MLX variants where available.
Related Models
Frequently Asked Questions
- How much VRAM does Kimi K3 DSpark need?
Kimi K3 DSpark requires 1.7 GB of VRAM at Q4_K_M, or 4.9 GB at BF16. Full 1049K context adds up to 37.5 GB (39.2 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 2.2B × 4.8 bits ÷ 8 = 1.3 GB
KV Cache + Overhead ≈ 0.4 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 37.9 GB (at full 1049K context)
VRAM usage by quantization
Q4_K_M1.7 GBQ4_K_M + full context39.2 GB- What's the best quantization for Kimi K3 DSpark?
For Kimi K3 DSpark, Q4_K_M (1.7 GB) offers the best balance of quality and VRAM usage. Q5_K_M (2.0 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 1.3 GB.
VRAM requirement by quantization
Q2_K1.3 GBQ4_K_M ★1.7 GBQ5_K_M2.0 GBQ6_K2.2 GBQ8_02.6 GBBF164.9 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run Kimi K3 DSpark on a Mac?
Kimi K3 DSpark requires at least 1.3 GB at Q2_K, 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 K3 DSpark locally?
Yes — Kimi K3 DSpark can run locally on consumer hardware. At Q4_K_M quantization it needs 1.7 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Kimi K3 DSpark?
At Q4_K_M, Kimi K3 DSpark can reach ~2791 tok/s on AMD Instinct MI350X. On NVIDIA GeForce RTX 4090: ~381 tok/s. 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 ÷ 1.7 × 0.65 = ~3023 tok/s
Estimated speed at Q4_K_M (1.7 GB)
~3023 tok/s~381 tok/s~3023 tok/s~2791 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Kimi K3 DSpark?
At Q4_K_M, the download is about 1.35 GB. The full-precision BF16 version is 4.50 GB. The smallest option (Q2_K) is 0.96 GB.
- Which GPUs can run Kimi K3 DSpark?
52 consumer GPUs can run Kimi K3 DSpark at Q4_K_M (1.7 GB). Top options include AMD Radeon RX 6700 XT, AMD Radeon RX 6800, AMD Radeon RX 6800 XT. 52 GPUs have plenty of headroom for comfortable inference.
- Which devices can run Kimi K3 DSpark?
59 devices with unified memory can run Kimi K3 DSpark at Q4_K_M (1.7 GB), including AMD Ryzen AI 9 HX 370 (Strix Point) Laptop, ASUS Ascent GX10, Apple iPhone 17 Pro, Asus ROG Flow Z13 (2025, 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.