unsloth

Qwen3.5 2B

Qwen3.5 2B is a 1.88B 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.

Parameters1.9B
Context256K
Attentionhybrid
Licenseapache-2.0

24 layers · 2 KV heads · head dim 256 · 18 linear-attention layers · GGUF repo · config

Quant file sizes

QuantFile sizeSource
BF163.52 GBHugging Face file bytes
UD-Q8_K_XL2.64 GBHugging Face file bytes
Q8_01.87 GBHugging Face file bytes
UD-Q6_K_XL1.74 GBHugging Face file bytes
Q6_K1.47 GBHugging Face file bytes
UD-Q5_K_XL1.37 GBHugging Face file bytes
Q5_K_M1.34 GBHugging Face file bytes
Q5_K_S1.29 GBHugging Face file bytes
UD-Q4_K_XL1.25 GBHugging Face file bytes
Q4_K_M1.19 GBHugging Face file bytes
Q4_K_S1.13 GBHugging Face file bytes
IQ4_NL1.13 GBHugging Face file bytes
IQ4_XS1.09 GBHugging Face file bytes
Q4_11.20 GBHugging Face file bytes
Q4_01.13 GBHugging Face file bytes
UD-Q3_K_XL1.08 GBHugging Face file bytes
Q3_K_M1.03 GBHugging Face file bytes
Q3_K_S0.96 GBHugging Face file bytes
UD-IQ3_XXS0.87 GBHugging Face file bytes
UD-Q2_K_XL0.90 GBHugging Face file bytes
UD-IQ2_XXS0.72 GBHugging Face file bytes

On common machines

DeviceVerdictQuantSpeed
GeForce RTX 4060 Ti 8GBRuns greatBF1641–56
GeForce RTX 3060 12GBRuns greatBF1651–70
GeForce RTX 4060 Ti 16GBRuns greatBF1641–56
GeForce RTX 4090Runs greatBF16143–195
GeForce RTX 5090Runs greatBF16254–347
Apple M4 ProRuns greatBF1639–53
Apple M5Runs greatBF1622–30
CPU only · DDR5-5600Runs on CPUBF1613–17

Smallest devices that fit it fully

Run it

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

llama.cpp
llama-server -hf unsloth/Qwen3.5-2B-GGUF:BF16 -c 8192 -ngl 24
Ollama
ollama run qwen3.5
LM Studio
lms get unsloth/Qwen3.5-2B-GGUF
# Then load quant BF16