All Supported Models

29681 AI models · 198875 quantization formats tracked

R

Raj Maharajwala

2 models

Open-Insurance-LLM-Llama3-8B-GGUF

8B 8K ctx
Q4_0
4.5GB file 6.63GB
Q5_0
5.5GB file 7.63GB
Q8_0
8.5GB file 10.63GB
FP16
16GB file 18.13GB

OpenInsuranceLLM-Llama3-8B-GGUF

8B 8K ctx
Q4_K_M
4.5GB file 6.63GB
Q5_K_M
5.5GB file 7.63GB
FP16
16GB file 18.13GB
R

Rajan0X

1 models

deepseek-r1-med

671B 8K ctx
Q8_0
712.94GB file 725.93GB
R

Rajkosto

2 models

Meta-Llama-3-70B-Instruct

70B 8K ctx
Q4_K_M
39.38GB file 42.53GB
Q4_K_S
39.38GB file 42.53GB

Meta-Llama-3-8B-Instruct

8B 8K ctx
Q4_K_M
4.5GB file 6.63GB
Q6_K
6.5GB file 8.63GB
R

Rajveer43

1 models

gemma-4-E4B-medical-legal-finance-qa

4B 8K ctx
Q4_K_M
2.25GB file 4.32GB
R

Rakmik

1 models

Llama-3.2-1B-Instruct-Q4_0-GGUF

1B 8K ctx
Q4_0
0.56GB file 2.58GB
R

Ramikan B R

62 models

P3-mini-v1

4B 8K ctx
Q8_0
4.25GB file 6.32GB

Qwen2-0.5B-v0

0.5B 8K ctx
FP16
1GB file 3.01GB

Qwen2-0.5B-v1

0.5B 8K ctx
FP16
1GB file 3.01GB

Qwen2-0.5B-v10

0.5B 8K ctx
Q4_K_M
0.28GB file 2.29GB
Q8_0
0.53GB file 2.54GB

Qwen2-0.5B-v11

0.5B 8K ctx
FP16
1GB file 3.01GB

Qwen2-0.5B-v13

0.5B 8K ctx
FP16
1GB file 3.01GB

Qwen2-0.5B-v14

0.5B 8K ctx
FP16
1GB file 3.01GB

Qwen2-0.5B-v15

0.5B 8K ctx
FP16
1GB file 3.01GB

Qwen2-0.5B-v16

0.5B 8K ctx
Q4_K_M
0.28GB file 2.29GB
Q8_0
0.53GB file 2.54GB

Qwen2-0.5B-v17

0.5B 8K ctx
Q4_K_M
0.28GB file 2.29GB
Q8_0
0.53GB file 2.54GB

Qwen2-0.5B-v18

0.5B 8K ctx
FP16
1GB file 3.01GB

Qwen2-0.5B-v19

0.5B 8K ctx
FP16
1GB file 3.01GB

Qwen2-0.5B-v21

0.5B 8K ctx
Q4_K_M
0.28GB file 2.29GB
Q8_0
0.53GB file 2.54GB

Qwen2-0.5B-v22

0.5B 8K ctx
Q4_K_M
0.28GB file 2.29GB
Q8_0
0.53GB file 2.54GB

Qwen2-0.5B-v23

0.5B 8K ctx
Q4_K_M
0.28GB file 2.29GB
Q8_0
0.53GB file 2.54GB

Qwen2-0.5B-v25

0.5B 8K ctx
Q4_K_M
0.28GB file 2.29GB
Q8_0
0.53GB file 2.54GB

Qwen2-0.5B-v26

0.5B 8K ctx
Q4_K_M
0.28GB file 2.29GB
Q8_0
0.53GB file 2.54GB

Qwen2-0.5B-v27

0.5B 8K ctx
Q4_K_M
0.28GB file 2.29GB
Q8_0
0.53GB file 2.54GB

Qwen2-0.5B-v28

0.5B 8K ctx
Q4_K_M
0.28GB file 2.29GB
Q8_0
0.53GB file 2.54GB

Qwen2-0.5B-v29

0.5B 8K ctx
Q4_K_M
0.28GB file 2.29GB
Q8_0
0.53GB file 2.54GB

Qwen2-0.5B-v3

0.5B 8K ctx
Q4_K_M
0.28GB file 2.29GB
Q8_0
0.53GB file 2.54GB

Qwen2-0.5B-v30

0.5B 8K ctx
Q4_K_M
0.28GB file 2.29GB
Q8_0
0.53GB file 2.54GB

Qwen2-0.5B-v31

0.5B 8K ctx
Q4_K_M
0.28GB file 2.29GB
Q8_0
0.53GB file 2.54GB

Qwen2-0.5B-v32

0.5B 8K ctx
Q4_K_M
0.28GB file 2.29GB
Q8_0
0.53GB file 2.54GB

Qwen2-0.5B-v4

0.5B 8K ctx
Q4_K_M
0.28GB file 2.29GB
Q8_0
0.53GB file 2.54GB

Qwen2-0.5B-v5

0.5B 8K ctx
FP16
1GB file 3.01GB

Qwen2-0.5B-v6

0.5B 8K ctx
FP16
1GB file 3.01GB

Qwen2-0.5B-v7

0.5B 8K ctx
FP16
1GB file 3.01GB

Qwen2-0.5B-v8

0.5B 8K ctx
Q4_K_M
0.28GB file 2.29GB
Q8_0
0.53GB file 2.54GB

Qwen2-0.5B-v9

0.5B 8K ctx
FP16
1GB file 3.01GB

TiamaPY-v28

4B 8K ctx
Q4_K_M
2.25GB file 4.32GB

TiamaPY-v30

4B 8K ctx
Q4_K_M
2.25GB file 4.32GB

TiamaPY-v31

4B 8K ctx
Q4_K_M
2.25GB file 4.32GB
Q8_0
4.25GB file 6.32GB

TiamaPY-v32

4B 8K ctx
Q4_K_M
2.25GB file 4.32GB
Q8_0
4.25GB file 6.32GB

TiamaPY-v33

4B 8K ctx
Q8_0
4.25GB file 6.32GB

TiamaPY-v34

4B 8K ctx
Q4_K_M
2.25GB file 4.32GB
Q8_0
4.25GB file 6.32GB

TiamaPY-v35

4B 8K ctx
FP16
8GB file 10.07GB

TiamaPY-v36

4B 8K ctx
FP16
8GB file 10.07GB

TiamaPY-v37

4B 8K ctx
FP16
8GB file 10.07GB

TiamaPY-v38

4B 8K ctx
FP16
8GB file 10.07GB

TiamaPY-v39

4B 8K ctx
FP16
8GB file 10.07GB

TiamaPY-v41

4B 8K ctx
FP16
8GB file 10.07GB

TiamaPY-v43

4B 8K ctx
FP16
8GB file 10.07GB

tinyllama_PY-CODER-4bit-lora_4k-v4

4B 8K ctx
Q4_K_M
2.25GB file 4.32GB

tinyllama_PY-CODER-4bit-lora_4k-v5

4B 8K ctx
Q4_K_M
2.25GB file 4.32GB

tinyllama_PY-CODER-4bit-lora_4k-v8

4B 8K ctx
Q4_K_M
2.25GB file 4.32GB

tinyllama_PY-CODER-4bit-lora_4k-v9

4B 8K ctx
Q4_K_M
2.25GB file 4.32GB

tinyllama-coder-py-4bit-v10

4B 8K ctx
Q4_K_M
2.25GB file 4.32GB
Q8_0
4.25GB file 6.32GB

tinyllama-coder-py-4bit-v3

4B 8K ctx
Q8_0
4.25GB file 6.32GB

tinyllama-coder-py-4bit-v4

4B 8K ctx
Q8_0
4.25GB file 6.32GB

tinyllama-coder-py-v11

4B 8K ctx
Q4_K_M
2.25GB file 4.32GB
Q8_0
4.25GB file 6.32GB

tinyllama-coder-py-v12

4B 8K ctx
Q4_K_M
2.25GB file 4.32GB
Q8_0
4.25GB file 6.32GB

tinyllama-coder-py-v13

4B 8K ctx
Q4_K_M
2.25GB file 4.32GB
Q8_0
4.25GB file 6.32GB

tinyllama-coder-py-v15

4B 8K ctx
Q4_K_M
2.25GB file 4.32GB
Q8_0
4.25GB file 6.32GB

tinyllama-coder-py-v16

4B 8K ctx
Q4_K_M
2.25GB file 4.32GB
Q8_0
4.25GB file 6.32GB

tinyllama-coder-py-v17

4B 8K ctx
Q4_K_M
2.25GB file 4.32GB
Q8_0
4.25GB file 6.32GB

tinyllama-coder-py-v18

4B 8K ctx
Q4_K_M
2.25GB file 4.32GB
Q8_0
4.25GB file 6.32GB

tinyllama-coder-py-v19

4B 8K ctx
Q4_K_M
2.25GB file 4.32GB
Q8_0
4.25GB file 6.32GB

tinyllama-coder-py-v20

4B 8K ctx
Q4_K_M
2.25GB file 4.32GB
Q8_0
4.25GB file 6.32GB

tinyllama-coder-py-v21

4B 8K ctx
Q4_K_M
2.25GB file 4.32GB
Q8_0
4.25GB file 6.32GB

tinyllama-coder-py-v22

4B 8K ctx
FP16
8GB file 10.07GB

tinyllama-coder-py-v23

4B 8K ctx
FP16
8GB file 10.07GB
R

Ramonsj11

1 models

recipe-llm-gguf

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

Ramyun

1 models

adelie-qwen-roleplay-v2-gguf

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

Ramzi Rebai

1 models

llama-2-7b-therapist-v4

7B 8K ctx
Q5_0
4.81GB file 6.92GB
FP16
14GB file 16.11GB
R

Ranchi Zhao

2 models

MiniCPM4-0.5B-Q4_K_M-GGUF

0.5B 8K ctx
Q4_0
0.28GB file 2.29GB
FP16
1GB file 3.01GB

MiniCPM4-0.5B-Q8_0-GGUF

0.5B 8K ctx
Q8_0
0.53GB file 2.54GB