All Supported Models

29681 AI models · 198875 quantization formats tracked

M

Merttbabat

1 models

gemma-7b

7B 8K ctx
FP16
14GB file 16.11GB
M

Mervinpraison

3 models

llama3.1-instruct

8B 8K ctx
Q4_K_M
4.5GB file 6.63GB
BF16
16GB file 18.13GB

llama3.2-3B-instruct

3B 8K ctx
Q4_K_M
1.69GB file 3.74GB

tamilan-2-27b

27B 8K ctx
Q4_K_M
15.19GB file 17.63GB
Q5_K_M
18.56GB file 21GB
Q8_0
28.69GB file 31.13GB
M

Meshllm

32 models

DeepSeek-R1-Q4_K_M-layers

671B 8K ctx
FP16
1342GB file 1354.99GB

DeepSeek-V3.2-UD-Q4_K_XL-layers

236B 8K ctx
FP16
472GB file 477.87GB

gemma-3-1b-it-parity-f16-gguf

1B 8K ctx
FP16
2GB file 4.02GB

gemma-4-26B-A4B-it-UD-Q4_K_M-layers

26B 8K ctx
FP16
52GB file 54.43GB

glm-4-9b-0414-parity-q4_k_m-gguf

9B 8K ctx
Q4_0
5.06GB file 7.21GB
FP16
18GB file 20.15GB

GLM-4.7-UD-Q4_K_XL-layers

Unknown 8K ctx
FP16
0GB file 2GB

GLM-5-UD-Q4_K_XL-layers

Unknown 8K ctx
FP16
0GB file 2GB

GLM-5.1-UD-Q4_K_XL-layers

Unknown 8K ctx
FP16
0GB file 2GB

Kimi-K2-Instruct-UD-Q4_K_XL-layers

2B 8K ctx
FP16
4GB file 6.03GB

Kimi-K2-Thinking-UD-Q4_K_XL-layers

Unknown 8K ctx
FP16
0GB file 2GB

Kimi-K2.5-UD-Q4_K_XL-layers

Unknown 8K ctx
FP16
0GB file 2GB

Kimi-K2.6-UD-Q4_K_XL-layers

Unknown 8K ctx
FP16
0GB file 2GB

lfm2-350m-parity-q4_k_m-gguf

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

llama-3.2-1b-instruct-parity-f16-gguf

1B 8K ctx
FP16
2GB file 4.02GB

Llama-4-Maverick-17B-128E-Instruct-UD-Q4_K_XL-layers

17B 8K ctx
FP16
34GB file 36.28GB

MiMo-V2.5-Pro-UD-Q4_K_XL-layers

Unknown 8K ctx
FP16
0GB file 2GB

MiMo-V2.5-UD-Q4_K_XL-layers

Unknown 8K ctx
FP16
0GB file 2GB

MiniMax-M2.7-UD-Q4_K_XL-layers

Unknown 8K ctx
FP16
0GB file 2GB

mistral-7b-instruct-v0.3-parity-f16-gguf

7B 8K ctx
FP16
14GB file 16.11GB

Mistral-Large-3-675B-Instruct-2512-UD-Q4_K_XL-layers

675B 8K ctx
FP16
1350GB file 1363.06GB

NVIDIA-Nemotron-3-Super-120B-A12B-UD-Q4_K_XL-layers

120B 8K ctx
FP16
240GB file 243.97GB

olmo-7b-instruct-hf-parity-f16-gguf

7B 8K ctx
FP16
14GB file 16.11GB

olmo2-7b-instruct-parity-q8_0-gguf

7B 8K ctx
Q8_0
7.44GB file 9.55GB

Qwen3-0.6B-Q4_K_M-layers-test

0.6B 8K ctx
FP16
1.2GB file 3.21GB

Qwen3-235B-A22B-UD-Q4_K_XL-layers

235B 8K ctx
FP16
470GB file 475.85GB

Qwen3-30B-A3B-Q4_K_M-layers

30B 8K ctx
FP16
60GB file 62.49GB

Qwen3-32B-UD-Q4_K_XL-layers

32B 8K ctx
FP16
64GB file 66.52GB

Qwen3-8B-Q4_K_M-layers

8B 8K ctx
FP16
16GB file 18.13GB

Qwen3-Coder-480B-A35B-Instruct-UD-Q4_K_XL-layers

480B 8K ctx
FP16
960GB file 969.86GB

Qwen3-VL-235B-A22B-Thinking-UD-Q4_K_XL-layers

235B 8K ctx
FP16
470GB file 475.85GB

Qwen3.5-397B-A17B-UD-Q4_K_XL-layers

397B 8K ctx
FP16
794GB file 802.5GB

Trinity-Large-Preview-UD-Q4_K_XL-layers

Unknown 8K ctx
FP16
0GB file 2GB
M

Mesolithica2

1 models

Qwen3-4B-abliterated-Q4_K_M-GGUF

4B 8K ctx
Q4_0
2.25GB file 4.32GB
FP16
8GB file 10.07GB
M

Mesteery

1 models

Meta-Llama-3.1-8B-Instruct-Q4_K_M-GGUF

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

Metaltiger775

1 models

gemma-4-E4B-it-OBLITERATED-gguf

4B 8K ctx
Q2_K
1.25GB file 3.32GB
Q3_K_M
1.75GB file 3.82GB
Q4_XS
2.25GB file 4.32GB
Q4_K_S
2.25GB file 4.32GB
Q4_K_M
2.25GB file 4.32GB
Q5_K_M
2.75GB file 4.82GB
Q6_K
3.25GB file 5.32GB
Q8_0
4.25GB file 6.32GB
M

Metalure

1 models

qwen-2.5-1.5b-instruct-distilled-vibe-labeler

1.5B 8K ctx
FP16
3GB file 5.02GB
M

Metindeder

2 models

Llama-3-Gherkin-QA-Expert

8B 8K ctx
Q4_K_M
4.5GB file 6.63GB

test-master-unit-test-model-GGUF

7B 8K ctx
Q4_0
3.94GB file 6.05GB
FP16
14GB file 16.11GB
M

Mex Ivanov

2 models

MistRAG-7B-ruen-v1-gguf

7B 8K ctx
Q4_K_M
3.94GB file 6.05GB
Q5_K_M
4.81GB file 6.92GB
Q6_K
5.69GB file 7.8GB
Q8_0
7.44GB file 9.55GB

zephyr-python-ru-gguf

Unknown 8K ctx
Q4_K_M
0GB file 2GB
Q6_K
0GB file 2GB
M

Mexicanamerican

3 models

phi-4-deepseek-R1K-RL-EZO-Q4_K_M-GGUF

671B 8K ctx
Q4_0
377.44GB file 390.43GB
FP16
1342GB file 1354.99GB

Qwen3-8B-Esper3-Q4_K_M-GGUF

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

Qwen3-8B-Esper3-Q8_0-GGUF

8B 8K ctx
Q8_0
8.5GB file 10.63GB