unsloth

DeepSeek V3.1

DeepSeek V3.1 is a 671.0B mixture-of-experts deepseek2 model from unsloth, with about 121.6B parameters active per token. Configured context length is 163,840 tokens. License: mit. Quant sizes are the GGUF file bytes published on Hugging Face when a file exists.

Parameters671B / 122B active
Context160K
Attentionmla
Licensemit

61 layers · 128 KV heads · head dim 56 · GGUF repo · config

Quant file sizes

QuantFile sizeSource
BF161250.1 GBHugging Face file bytes
UD-Q8_K_XL727.0 GBHugging Face file bytes
Q8_0664.3 GBHugging Face file bytes
UD-Q6_K_XL535.0 GBHugging Face file bytes
Q6_K513.5 GBHugging Face file bytes
UD-Q5_K_XL451.3 GBHugging Face file bytes
Q5_K_M443.5 GBHugging Face file bytes
Q5_K_S430.9 GBHugging Face file bytes
UD-Q4_K_XL360.3 GBHugging Face file bytes
Q4_K_M377.6 GBHugging Face file bytes
Q4_K_S354.9 GBHugging Face file bytes
IQ4_NL353.1 GBHugging Face file bytes
IQ4_XS333.7 GBHugging Face file bytes
Q4_1391.9 GBHugging Face file bytes
Q4_0354.0 GBHugging Face file bytes
UD-Q3_K_XL279.4 GBHugging Face file bytes
Q3_K_M298.4 GBHugging Face file bytes
Q3_K_S270.5 GBHugging Face file bytes
UD-IQ3_XXS260.5 GBHugging Face file bytes
UD-Q2_K_XL238.2 GBHugging Face file bytes
Q2_K457.8 GBHugging Face file bytes
UD-IQ2_XXS210.4 GBHugging Face file bytes
UD-IQ1_M192.6 GBHugging Face file bytes
UD-IQ1_S179.1 GBHugging Face file bytes

On common machines

DeviceVerdictQuantSpeed
GeForce RTX 4060 Ti 8GBWon't fitUD-IQ1_S—
GeForce RTX 3060 12GBWon't fitUD-IQ1_S—
GeForce RTX 4060 Ti 16GBWon't fitUD-IQ1_S—
GeForce RTX 4090Won't fitUD-IQ1_S—
GeForce RTX 5090Won't fitUD-IQ1_S—
Apple M4 ProWon't fitUD-IQ1_S—
Apple M5Won't fitUD-IQ1_S—
CPU only · DDR5-5600Won't fitUD-IQ1_S—

Smallest devices that fit it fully

No GPU or Mac in the catalog fits this model inside the default memory budget. A partial offload or a larger machine is required.

Run it

Commands for the GeForce RTX 4060 Ti 16GB estimate (UD-IQ1_S).

llama.cpp
llama-server -hf unsloth/DeepSeek-V3.1-GGUF:UD-IQ1_S -c 2048 -ngl 0
Ollama
ollama run deepseek-v3.1
LM Studio
lms get unsloth/DeepSeek-V3.1-GGUF
# Then load quant UD-IQ1_S