deepseek-ai (48 modellen)
DeepSeek V3.2
685B
DeepSeek V3.2 Speciale
685B
DeepSeek OCR
3.3B
DeepSeek V3.2 Exp
685B
DeepSeek V3.1 Terminus
685B
DeepSeek V3.1
685B
DeepSeek V3.1 Base
685B
DeepSeek R1 0528 Qwen3 8B
8.2B · ✓
DeepSeek R1 0528
685B
DeepSeek V3 0324
685B
DeepSeek R1 Distill Qwen 32B
33B · ✓
DeepSeek R1 Distill Qwen 7B
7.6B · ✓
DeepSeek R1 Distill Llama 70B
71B
DeepSeek R1 Distill Llama 8B
8B · ✓
DeepSeek R1 Distill Qwen 1.5B
1.8B · ✓
DeepSeek R1
685B
DeepSeek R1 Zero
685B
DeepSeek V3
685B
DeepSeek Coder V2 Instruct 0724
236B
DeepSeek V2.5
236B
DeepSeek Coder V2 Lite Instruct
16B · ✓
DeepSeek Coder V2 Lite Base
16B
DeepSeek Coder V2 Instruct
236B
DeepSeek V2 Lite Chat
16B · ✓
DeepSeek V2 Lite
16B · ✓
DeepSeek V2 Chat
236B
DeepSeek V2
236B
deepseek math 7b instruct
7B
deepseek coder 7b instruct v1.5
6.9B
deepseek moe 16b chat
16B
deepseek moe 16b base
16B
deepseek llm 67b base
67B · ✓
deepseek llm 7b chat
7B
deepseek llm 7b base
7B
deepseek coder 33b instruct
33B · ✓
deepseek coder 1.3b instruct
1.3B · ✓
deepseek coder 6.7b instruct
6.7B · ✓
deepseek coder 1.3b base
1.3B · ✓
deepseek coder 6.7b base
6.7B · ✓
DeepSeek V3 (685B MoE)
685B
DeepSeek R1 Distill 1.5B
1.5B · ✓
DeepSeek R1 Distill 14B
14B · ✓
DeepSeek R1 Distill 32B
32B · ✓
DeepSeek R1 Distill Llama 8B
8B · ✓
DeepSeek R1 Distill Llama 70B
70B · ✓
DeepSeek Coder V2 Lite (16B)
16B · ✓
DeepSeek R1 0528 Qwen3 8B
8B · ✓
deepseek coder 6.7b
6.7B · ✓
google (51 modellen)
translategemma 27b it
29B
translategemma 12b it
13B
medgemma 1.5 4b it
4.3B
gemma 3n E2B it
5.4B
gemma 3n E2B
5.4B
gemma 3n E4B it
7.8B
medgemma 27b text it
27B
medgemma 4b it
4.3B
gemma 3 27b it qat q4 0 unquantized
27B
gemma 3 12b it qat q4 0 unquantized
12B
txgemma 2b predict
2.6B
gemma 3 1b it
1B
gemma 3 12b it
12B
gemma 3 12b pt
12B
gemma 3 27b it
27B
gemma 3 27b pt
27B
gemma 3 1b pt
1B
gemma 3 4b it
4.3B
gemma 3 4b pt
4.3B
paligemma2 28b mix 448
28B
paligemma2 3b pt 448
3B
paligemma2 3b pt 224
3B
paligemma2 3b mix 448
3B
paligemma2 3b ft docci 448
3B
paligemma2 3b mix 224
3B
gemma 2 2b jpn it
2.6B
gemma 2b AWQ
3B · ✓
shieldgemma 9b
9.2B
shieldgemma 2b
2.6B
gemma 2 2b it
2.6B
gemma 2 2b
2.6B
gemma 2 9b
9.2B
gemma 2 9b it
9.2B
gemma 2 27b
27B
gemma 2 27b it
27B
paligemma 3b ft cococap 448
2.9B
paligemma 3b mix 448
2.9B
paligemma 3b mix 224
2.9B
paligemma 3b pt 224
2.9B
gemma 1.1 2b it
2.5B
gemma 1.1 7b it
8.5B
codegemma 7b it
8.5B
codegemma 2b
2.5B
gemma 7b it
8.5B
gemma 7b
8.5B
gemma 2b it
2.5B
gemma 2b
2.5B
Gemma 3 1B
1B · ✓
Gemma 3 4B
4B
Gemma 3 27B
27B
functiongemma 270m
meta-llama (52 modellen)
Llama Guard 4 12B
12B
Llama 4 Maverick 17B 128E
402B
Llama 4 Scout 17B 16E
109B
Llama 4 Scout 17B 16E Instruct
109B
Llama 4 Maverick 17B 128E Instruct
402B
Llama 4 Maverick 17B 128E Instruct FP8
402B
Llama 3.3 70B Instruct
71B
Llama Guard 3 1B
1.5B
Llama Guard 3 11B Vision
11B
Llama 3.2 90B Vision Instruct
89B
Llama 3.2 90B Vision
89B
Llama 3.2 11B Vision Instruct
11B
Llama 3.2 11B Vision
11B
Llama 3.2 3B
3.2B
Llama 3.2 3B Instruct
3.2B
Llama 3.2 1B Instruct
1.2B
Llama 3.2 1B
1.2B
Llama Guard 3 8B
8B
Llama Guard 3 8B INT8
8B
Llama 3.1 405B FP8
406B
Llama 3.1 405B Instruct FP8
406B
Llama 3.1 8B Instruct
8B
Llama 3.1 405B Instruct
406B
Llama 3.1 70B Instruct
71B
Llama 3.1 405B
406B
Llama 3.1 70B
71B
Llama 3.1 8B
8B
Meta Llama Guard 2 8B
8B
Meta Llama 3 8B
8B
Meta Llama 3 8B Instruct
8B
Meta Llama 3 70B Instruct
71B
Meta Llama 3 70B
71B
CodeLlama 34b Instruct hf
34B
CodeLlama 34b Python hf
34B
CodeLlama 34b hf
34B
CodeLlama 70b Instruct hf
69B
CodeLlama 13b Instruct hf
13B
CodeLlama 13b hf
13B
CodeLlama 7b Instruct hf
6.7B
CodeLlama 7b hf
7B
LlamaGuard 7b
6.7B
Llama 2 70b chat hf
69B
Llama 2 7b chat hf
6.7B
Llama 2 7b hf
6.7B
Llama 2 13b hf
13B
Llama 2 13b chat hf
13B
Llama 2 70b hf
69B
Llama 4 Scout (17Bx16E)
17B
Llama 4 Maverick (17Bx128E)
17B
Llama 3.3 70B
70B · ✓
Llama 3.2 3B
3B · ✓
Llama 3.2 1B
1B · ✓
microsoft (43 modellen)
X Reasoner 7B
8.3B
FrogBoss 32B 2510
32B · ✓
OptiMind SFT
21B
Fara 7B
8.3B
MediPhi Instruct
3.8B · ✓
Phi tiny MoE instruct
3.8B
Phi mini MoE instruct
7.6B
GUI Actor Verifier 2B
2.2B
Phi 4 mini reasoning
3.8B · ✓
Phi 4 reasoning plus
15B
Phi 4 reasoning
15B
Phi 4 mini instruct
3.8B · ✓
MediPhi
3.8B · ✓
phi 4
15B · ✓
OmniParser
Phi 3.5 MoE instruct
42B · ✓
Phi 3.5 vision instruct
4.1B
Phi 3.5 mini instruct
3.8B · ✓
Florence 2 base ft
0.2B
Florence 2 large ft
0.8B
Florence 2 base
0.2B
Florence 2 large
0.8B
Phi 3 vision 128k instruct
4.1B · ✓
Phi 3 small 128k instruct
7.4B
Phi 3 small 8k instruct
7.4B
Phi 3 medium 128k instruct
14B · ✓
Phi 3 medium 4k instruct
14B
Phi 3 mini 128k instruct
3.8B · ✓
Phi 3 mini 4k instruct
3.8B
phi 2
2.8B
Orca 2 13b
13B
phi 1
1.4B
phi 1 5
1.4B
Promptist
DialoGPT medium
DialoGPT small
0.2B
DialoGPT large
CodeGPT small py
CodeGPT small java adaptedGPT2
CodeGPT small java
CodeGPT small py adaptedGPT2
Phi 4 Mini (3.8B)
3.8B · ✓
Phi 4 (14B)
14B · ✓
mistralai (5 modellen)
Ministral 3 3B Instruct 2512 ONNX
3B
Mistral 7B Instruct v0.2
7.2B · ✓
Mistral 7B Instruct v0.1
7.2B · ✓
Mistral 7B v0.1
7.2B · ✓
Mistral Nemo 12B
12B · ✓
openai (4 modellen)
Qwen (61 modellen)
Qwen3 Coder Next FP8
80B
Qwen3 Coder Next
80B
Qwen3 VL 2B Instruct
2.1B
Qwen3 VL 32B Instruct FP8
33B
Qwen3 VL 32B Thinking FP8
33B
Qwen3 VL 32B Instruct
33B
Qwen3 VL 8B Instruct FP8
8.8B
Qwen3 VL 4B Instruct FP8
4.8B
Qwen3 VL 8B Thinking
8.8B
Qwen3 VL 8B Instruct
8.8B
Qwen3 VL 4B Instruct
4.4B
Qwen3 VL 235B A22B Instruct FP8
236B
Qwen3 VL 30B A3B Instruct
31B
Qwen3Guard Gen 0.6B
0.8B · ✓
Qwen3 VL 235B A22B Instruct
236B
Qwen3 4B Instruct 2507
4B · ✓
Qwen3 Coder 30B A3B Instruct FP8
31B · ✓
Qwen3 Coder 30B A3B Instruct
31B · ✓
Qwen3 30B A3B Instruct 2507
31B · ✓
Qwen3 8B AWQ
8.2B · ✓
Qwen3 14B AWQ
15B · ✓
Qwen3 0.6B FP8
0.8B
Qwen3 32B
33B · ✓
Qwen3 30B A3B
31B · ✓
Qwen3 14B
15B · ✓
Qwen3 8B
8.2B · ✓
Qwen3 4B
4B · ✓
Qwen3 1.7B
2B · ✓
Qwen3 0.6B
0.8B · ✓
Qwen2.5 VL 32B Instruct
33B
Qwen2.5 VL 7B Instruct AWQ
8.3B
Qwen2.5 VL 72B Instruct AWQ
74B
Qwen2.5 VL 72B Instruct
73B
Qwen2.5 VL 7B Instruct
8.3B
Qwen2.5 VL 3B Instruct
3.8B · ✓
Qwen2.5 Coder 14B Instruct AWQ
15B · ✓
Qwen2.5 Coder 32B Instruct AWQ
33B · ✓
Qwen2.5 Coder 3B
3.1B · ✓
Qwen2.5 Coder 32B Instruct
33B · ✓
Qwen2.5 Coder 14B Instruct
15B · ✓
Qwen2.5 1.5B Instruct
1.5B · ✓
Qwen2.5 3B Instruct
3.1B · ✓
Qwen2.5 72B Instruct AWQ
73B · ✓
Qwen2.5 14B Instruct AWQ
15B · ✓
Qwen2.5 7B Instruct AWQ
7.6B · ✓
Qwen2.5 1.5B Instruct AWQ
1.8B · ✓
Qwen2.5 Coder 7B Instruct
7.6B · ✓
Qwen2.5 32B Instruct
33B · ✓
Qwen2.5 72B Instruct
73B · ✓
Qwen2.5 14B Instruct
15B · ✓
Qwen2.5 7B Instruct
7.6B · ✓
Qwen2.5 0.5B Instruct
0.5B · ✓
Qwen2.5 7B
7.6B · ✓
Qwen2.5 1.5B
1.5B · ✓
Qwen2.5 0.5B
0.5B · ✓
Qwen2 VL 7B Instruct AWQ
8.3B
Qwen2 VL 7B Instruct
8.3B
Qwen2 VL 2B Instruct
2.2B
Qwen2 1.5B Instruct
1.5B · ✓
Qwen2 0.5B Instruct
0.5B · ✓
Qwen2 0.5B
0.5B · ✓
qwen (16 modellen)
Qwen 3 0.6B
0.6B · ✓
Qwen 3 4B
4B · ✓
Qwen 2.5 14B
14B · ✓
Qwen 2.5 72B
72B · ✓
Qwen 3 Coder 30B-A3B (MoE)
30B · ✓
Qwen 2.5 Coder 1.5B
1.5B · ✓
Qwen 2.5 Coder 7B
7B
Qwen 2.5 Coder 32B
32B · ✓
Qwen3 4B Instruct 2507
4B · ✓
Qwen2.5 32B
32B · ✓
Qwen3 4B Thinking 2507
4B · ✓
Qwen3Guard Gen 0.6B
0.6B · ✓
Qwen3 8B
8B · ✓
Qwen3 32B
32B · ✓
Qwen3 14B
14B · ✓
Qwen3 30B A3B Instruct 2507
30B · ✓
zai-org (43 modellen)
GLM 4.7 Flash
31B
GLM 4.7 FP8
358B
GLM 4.7
358B
AutoGLM Phone 9B Multilingual
0B
AutoGLM Phone 9B
0B
GLM 4.6V FP8
108B
GLM 4.6V
108B
GLM 4.6V Flash
10B
WebVIA Agent
10B
UI2Code N
Glyph
10B
GLM 4.6
357B
GLM 4.6 FP8
358B
GLM 4.5V
108B
GLM 4.5V FP8
108B
GLM 4.5 Base
358B
GLM 4.5 Air FP8
111B
GLM 4.5 FP8
358B
GLM 4.5 Air
110B
GLM 4.5
358B
GLM 4.5 Air Base
110B
GLM 4.1V 9B Thinking
10B
GLM 4.1V 9B Base
10B
GLM Z1 32B 0414
33B · ✓
GLM Z1 9B 0414
9.4B · ✓
GLM 4 32B 0414
33B · ✓
GLM 4 9B 0414
9.4B
glm 4 9b hf
9.4B · ✓
cogagent 9b 20241220
14B
glm edge v 5b
4.9B
glm edge v 2b
2.1B
glm edge 4b chat
4.3B · ✓
glm edge 1.5b chat
1.6B · ✓
glm 4 9b chat hf
9.4B · ✓
codegeex4 all 9b
9.4B · ✓
glm 4 9b
9.4B
LongAlign 13B 64k base
13B · ✓
LongAlign 7B 64k base
7B
LongAlign 6B 64k base
6B · ✓
LongAlign 13B 64k
13B · ✓
LongAlign 6B 64k
6B · ✓
LongAlign 7B 64k
7B · ✓
BPO