ISTA DASLab releases Coder build of DeepSeek-V4.1-Flash-1017 with a 72.1 GB transformer backbone after removing half its routed experts
ISTA's release post on r/LocalLLaMA announces a Coder build of DeepSeek V4.1 Flash 1017, compressed with GSQ and RCO, in which half of the model's routed exper…
Published on MyPrivateClaw
Nov 3, 2026, 5:52 PM UTC
Coverage date
Nov 2, 2026
Last updated
Nov 3, 2026, 5:52 PM UTC
News summary
The Coder keeps 192 of 384 experts in every layer, giving 72.1 GB of transformer weights, against 138.2 GB for the unpruned IQ2 XXS build. The shared Engram file (110.6 GB) and vision projector are the same files as in the unpruned release, so they need to be downloaded only once. DeepSeek V4.1 Flash 1017 is a sparse mixture of experts model with 763.2B parameters, 384 routed experts per layer of which 6 are active per token, and a 1M token context window. The released non uniform GGUF quants assign a separate quantization type to every tensor via a gradient based search under a total size budget. Counted against the original model, the Coder's 72.12 GB divided by the original 551.9B transformer parameters gives 1.05 bits, which the release rounds to 1 bit per parameter, with no individual weight stored below 1 bit: the 280.1B parameters the Coder keeps average 2.06 bits. Removed expert…