unsloth

Qwen3.5 4B

Qwen3.5 4B is a 4.21B dense qwen35 model from unsloth. Configured context length is 262,144 tokens. License: apache-2.0. Quant sizes are the GGUF file bytes published on Hugging Face when a file exists.

Parameters4.2B
Context256K
Attentionhybrid
Licenseapache-2.0

32 layers · 4 KV heads · head dim 256 · 24 linear-attention layers · GGUF repo · config

Quant file sizes

QuantFile sizeSource
BF167.85 GBHugging Face file bytes
UD-Q8_K_XL5.54 GBHugging Face file bytes
Q8_04.17 GBHugging Face file bytes
UD-Q6_K_XL3.86 GBHugging Face file bytes
Q6_K3.28 GBHugging Face file bytes
UD-Q5_K_XL3.03 GBHugging Face file bytes
Q5_K_M2.93 GBHugging Face file bytes
Q5_K_S2.82 GBHugging Face file bytes
UD-Q4_K_XL2.71 GBHugging Face file bytes
Q4_K_M2.55 GBHugging Face file bytes
Q4_K_S2.41 GBHugging Face file bytes
IQ4_NL2.40 GBHugging Face file bytes
IQ4_XS2.31 GBHugging Face file bytes
Q4_12.59 GBHugging Face file bytes
Q4_02.41 GBHugging Face file bytes
UD-Q3_K_XL2.27 GBHugging Face file bytes
Q3_K_M2.14 GBHugging Face file bytes
Q3_K_S1.96 GBHugging Face file bytes
UD-IQ3_XXS1.82 GBHugging Face file bytes
UD-Q2_K_XL1.81 GBHugging Face file bytes
UD-IQ2_XXS1.42 GBHugging Face file bytes

On common machines

DeviceVerdictQuantSpeed
GeForce RTX 4060 Ti 8GBTight fitUD-Q8_K_XL25–35
GeForce RTX 3060 12GBRunsBF1623–31
GeForce RTX 4060 Ti 16GBRuns greatBF1618–25
GeForce RTX 4090Runs greatBF1664–87
GeForce RTX 5090Runs greatBF16113–155
Apple M4 ProRuns greatBF1617–24
Apple M5RunsBF169.7–13
CPU only · DDR5-5600Runs on CPUBF165.7–7.7

Smallest devices that fit it fully

Run it

Commands for the GeForce RTX 4060 Ti 16GB estimate (BF16).

llama.cpp
llama-server -hf unsloth/Qwen3.5-4B-GGUF:BF16 -c 8192 -ngl 32
Ollama
ollama run qwen3.5
LM Studio
lms get unsloth/Qwen3.5-4B-GGUF
# Then load quant BF16