Yes. DeepSeek V4 Flash fits on the GeForce RTX 4060 Ti 16GB at Q8, with 10.7 GB of headroom. Usable memory is 15.2 GB.
Can the GeForce RTX 4060 Ti 16GB run DeepSeek V4 Flash?
Data updated . Last reviewed the same day, when this catalog snapshot was written.
Usable memory on this 16 GB VRAM config is 15.2 GB (95% of the sticker figure). A result under 2 GB of headroom is labeled tight.
Quant ladder
| Quant | Estimate | Headroom | Est. tok/s | Verdict |
|---|---|---|---|---|
| Q4 | 175 GB | -159.4 GB | 44.3 tok/s | No |
| Q8 | 4.5 GB | 10.7 GB | 1693 tok/s | Yes |
| FP16 | 698 GB | -683.1 GB | 11.1 tok/s | No |
- Formula estimate: parameter count × bytes per weight × 1.20. No GGUF file size is stored for this quant.
- GGUF file size plus an FP16 KV-cache estimate at 8,192 tokens. The cache counts only the layers and heads named in the method on the About page.
- Tokens/sec is a bandwidth roofline: GB/s divided by active weight GB. It is not a measured generation speed.
KV cache at 8K and 32K
FP16 KV-cache estimate: 0.7 GB at 8,192 tokens and 2.9 GB at 32,768 tokens. GQA counts two tensors (K and V) for the stored KV heads and head dimension. config.json also sets a sliding window of 128 tokens. The figures above assume every counted layer stores the full context, so they can overstate cache on sliding layers.
Offload
About 130 GB of the Q4 weights sit outside usable VRAM. A partial offload would need at least that much free system RAM. This catalog does not record system RAM, so offload is not counted as a fit.
Ollama
No command. This catalog does not store a GGUF repo whose base model is deepseek-ai/DeepSeek-V4-Flash, so it does not invent an Ollama tag.
Other picks
- Cheapest catalog device at Q4: Mac Studio M3 Ultra 512GB
- Closest catalog model that still fits at Q4: gpt-oss-20b.
All hardware for DeepSeek V4 Flash · All models for the GeForce RTX 4060 Ti 16GB
Questions
- How much memory does DeepSeek V4 Flash need at Q4?
- The Q4 figure used here is 175 GB. Formula estimate: parameter count × bytes per weight × 1.20. No GGUF file size is stored for this quant.
- Can the GeForce RTX 4060 Ti 16GB run DeepSeek V4 Flash?
- Yes. DeepSeek V4 Flash fits on the GeForce RTX 4060 Ti 16GB at Q8, with 10.7 GB of headroom. Usable memory is 15.2 GB.
- What is the cheapest catalog device that runs DeepSeek V4 Flash at Q4?
- Mac Studio M3 Ultra 512GB (list price varies).
- How fast is DeepSeek V4 Flash on the GeForce RTX 4060 Ti 16GB, as a bandwidth estimate?
- About 1693 tok/s at Q8. That is device bandwidth divided by active weight bytes, not a measured run.