All Supported Models

29681 AI models · 198875 quantization formats tracked

W

Wusul

7 models

gemma-2-2b-it-Q8_0-GGUF

2B 8K ctx
Q8_0
2.13GB file 4.16GB

glm-4-9b-hf-Q5_K_M-GGUF

9B 8K ctx
Q5_0
6.19GB file 8.34GB
FP16
18GB file 20.15GB

granite-20b-code-instruct-Q5_K_M-GGUF

20B 8K ctx
Q5_K_M
13.75GB file 16.08GB

h2o-danube3-500m-base-Q8_0-GGUF

0B 8K ctx
Q8_0
0GB file 2GB

Llama-3.1-8B-Q6_K-GGUF

8B 8K ctx
Q6_0
6.5GB file 8.63GB
FP16
16GB file 18.13GB

Qwen2.5-14B-Q6_K-GGUF

14B 8K ctx
Q6_0
11.38GB file 13.61GB
FP16
28GB file 30.23GB

Qwen3-0.6B-Base-Q6_K-GGUF

0.6B 8K ctx
Q6_0
0.49GB file 2.5GB
FP16
1.2GB file 3.21GB
W

Wwe180

1 models

llama-3-neural-chat-v2.2-8B-Q6_K-GGUF

8B 8K ctx
Q6_K
6.5GB file 8.63GB
W

Wyan

1 models

usenet-gemma-4-E2B-lora

2B 8K ctx
Q4_K_M
1.13GB file 3.16GB
W

Wyattjo116

1 models

DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored-Q4_K_M-GGUF

8B 8K ctx
Q4_0
4.5GB file 6.63GB
FP16
16GB file 18.13GB
W

Wyrmiyu

5 models

Ahma-2-4B-Instruct-Q8_0-GGUF

4B 8K ctx
Q8_0
4.25GB file 6.32GB

emma-500-llama3.1-8b-bi-Q8_0-GGUF

8B 8K ctx
Q8_0
8.5GB file 10.63GB

Llama-Poro-2-8B-Instruct-Q6_K-GGUF

8B 8K ctx
Q6_0
6.5GB file 8.63GB
FP16
16GB file 18.13GB

Llama-Poro-2-8B-Instruct-Q8_0-GGUF

8B 8K ctx
Q8_0
8.5GB file 10.63GB

Qwen3-Coder-30B-A3B-Instruct-Q5_K_M-GGUF

30B 8K ctx
Q5_0
20.63GB file 23.12GB
FP16
60GB file 62.49GB
X

X E I N E L L E T T E

1 models

MeridusLLM-v0-Q4_K_M-GGUF

Unknown 8K ctx
FP16
0GB file 2GB
Q4_0
0GB file 2GB
X

X I N O A M A N

1 models

xino-adapter-Q8_0-GGUF

8B 8K ctx
Q8_0
8.5GB file 10.63GB
X

X Joe Pec

1 models

galena-2b-math-physics

2B 8K ctx
FP16
4GB file 6.03GB
X

X X F A N E Xx

1 models

koala-13B-HF-Q2_K-GGUF

13B 8K ctx
Q2_0
4.06GB file 6.27GB
FP16
26GB file 28.21GB
X

X X X Xyu

3 models

bitnet_b1_58-3B-vlut-gguf

1B 8K ctx
FP16
2GB file 4.02GB

Falcon3-1B-Instruct-1.58bit-vlut-gguf

1B 8K ctx
FP16
2GB file 4.02GB

Llama3-8B-1.58-100B-tokens-vlut-gguf

1B 8K ctx
FP16
2GB file 4.02GB