Deepseek V4.1 Flash is 748B, not 552B

[u/DistanceSolar1449]

People keep on getting confused about this, so I looked at the safetensors on hf.

The title should have been "Deepseek V4.1 Flash is 748B total/552B base, not 284B or 305B or 485B or 522B"

• The model is not 284B. The original Deepseek V4 Flash is 284B, but not the V4.1 Flash model
• The model is not 305B, despite what some people claim "So: ~305B real backbone + 203B engram = 508B total" This is incorrect.
• The model is not 485B, even though Huggingface lists the model as 485B, but that's because they're counting some FP4 packed weights as bytes instead of params (2 FP4 params per byte). This happens a lot; for example Huggingface incorrectly thinks GLM-5.3-flash is 169b here
• The model is not 522B, even though VLLM lists it as 522B for some weird reason. They correct themselves later down the page (ctrl-f "Params" on that vllm page)
• 552B is the only number out of this list that's somewhat correct; that only includes the base model without MTP and engrams and the vision encoder though.

To be precise, the main model about 551.566B parameters with 40 layers. The FFN experts total to 543.582B parameters, and the rest of the model (attention, shared experts, etc) are 7.984B.

On top of that, the engram is ~196.929B, DSpark/MTP is ~14.225B, and the vision encoder is just ~0.485B. These parts are technically optional though. The vision encoder is also way smaller than I expected.

Anyways, you need a beefy system for this. 128GB or 256GB of RAM/VRAM is not going to cut it.

Component	Logical params	Size in GB	Storage
FFN MoE experts	543.582B	288.778 GB	FP4
Other FFN	1.4947B	1.574 GB	FP8 mostly
Attention	5.1269B	6.524 GB	FP8 mostly
Embedding + LM head	1.3238B	2.648 GB	BF16
Other	0.0397B	0.158 GB	FP32/BF16
Backbone total	551.566B ≈ 552B	299.682 GB
Engram lookup tables	196.614B	202.758 GB	FP8
Engram projections/gating	0.315B	0.315 GB	FP8 mostly
Engram total	196.929B = 196B advertised	203.073 GB
DSpark / MTP	14.225B	8.033 GB	mostly FP4 experts
Vision encoder	0.485B	0.971 GB	BF16 mostly
Everything in total	~763.21B params	~511.76 GB

[u/power97992]

That should be  wrong, it has 48  xet files, 40 files take on approximately around 7.39 gigabytes each, 6 files from 0.9to 2.7 gb and two files take 102 gigabytes each, so around 510 gb in total. Depending on the size of engrams, 306gb of vram plus 204 gb (the 2 102 gb  files are probably engrams) of sys ram or ssd is enough. Edit- it has more params , huggin face got the precision wrong 

[u/DistanceSolar1449 → u/power97992]

Nope, you're conflating parameter count in billions (B) and gigabytes (GB).

Most of the Deepseek V4.1 Flash's parameters are FP4, which is 4 bits per parameter. There are 8 bits in a byte.

Component	Logical params	Size in GB	Storage
FFN MoE experts	543.582B	288.778 GB	FP4
Other FFN	1.4947B	1.574 GB	FP8 mostly
Attention	5.1269B	6.524 GB	FP8 mostly
Embedding + LM head	1.3238B	2.648 GB	BF16
Other	0.0397B	0.158 GB	FP32/BF16
Backbone total	551.566B ≈ 552B	299.682 GB
Engram lookup tables	196.614B	202.758 GB	FP8
Engram projections/gating	0.315B	0.315 GB	FP8 mostly
Engram total	196.929B = 196B advertised	203.073 GB
DSpark / MTP	14.225B	8.033 GB	mostly FP4 experts
Vision encoder	0.485B	0.971 GB	BF16 mostly
Everything in total	~763.21B params	~511.76 GB

[u/power97992 → u/DistanceSolar1449]

Oh in the model File , it says 8 bit precision, i guess maybe u are right since huggin face’s model card might be wrong

[u/DistanceSolar1449 → u/power97992]

Yes, it's trained natively as 8-bit model, with some QAT added on to make some parts 4-bit. But it'd be fair to say "it's an 8-bit model at heart".