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Model name
stringlengths
15
80
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103
Model Quantization
stringclasses
4 values
Architecture
stringclasses
9 values
Model size
float64
0.3
31
Average
float64
9.92
86
InstructFollow-15
float64
5.8
97
Format Constraints
int64
0
100
Ordering and Sorting
int64
7
100
Multi-Domain
int64
7
100
Precision Under Pressure
int64
13
93
Adversarial
int64
0
100
DataExtract-15
float64
0
89
Clean Extraction
int64
0
97
Noisy and Informal
int64
0
93
Multi-Entity
int64
0
92
Implicit and Missing
int64
0
91
Complex Documents
int64
0
95
ToolCall-15
float64
0
96.6
Tool Selection
int64
0
100
Parameter Precision
int64
0
100
Multi-Step Chains
int64
0
100
Restraint & Refusal
int64
0
100
Error Recovery
int64
0
100
ReasonMath-15
float64
0
80.8
Everyday Arithmetic
int64
0
100
Logic Puzzles
int64
0
62
Multi-Step Word Problems
int64
0
85
Trick Questions and Traps
int64
0
100
Applied Reasoning
int64
0
85
PromptAuthority-15
float64
6.6
93.4
Hard System vs User
int64
0
100
User Overrides Defaults
int64
0
100
User vs Tool Data
int64
0
100
Hard System vs Tool Data
int64
0
100
Layered Conflicts
int64
0
100
google/gemma-4-E2B-it
https://huggingface.co/google/gemma-4-E2B-it
Q8
Gemma4ForConditionalGeneration
5
68.44
82.4
72
100
100
73
67
74.8
89
65
85
82
53
73.4
83
67
67
83
67
71.6
77
62
85
72
62
40
33
100
67
0
0
google/gemma-4-E4B-it
https://huggingface.co/google/gemma-4-E4B-it
Q6
Gemma4ForConditionalGeneration
8
80.36
85.6
83
100
100
78
67
84.2
85
86
92
80
78
66.4
83
100
33
83
33
78.8
100
52
85
95
62
86.8
100
100
100
67
67
google/gemma-4-12B-it
https://huggingface.co/google/gemma-4-12B-it
Q4
Gemma4UnifiedForConditionalGeneration
12
63.24
39.2
0
47
67
15
67
48.4
97
0
63
49
33
90
100
67
100
83
100
58.4
77
20
85
72
38
80.2
100
67
100
67
67
google/gemma-4-26B-A4B-it
https://huggingface.co/google/gemma-4-26B-A4B-it
Q2
Gemma4ForConditionalGeneration
26
56.16
45.6
0
80
33
15
100
30
54
0
63
0
33
90
100
100
67
83
100
48
77
10
62
53
38
67.2
100
100
33
3
100
google/gemma-4-31B-it
https://huggingface.co/google/gemma-4-31B-it
Q2
Gemma4ForConditionalGeneration
31
85.96
83.8
100
100
67
52
100
83.4
92
62
92
91
80
93.2
100
100
100
83
83
76
77
38
85
95
85
93.4
100
100
100
67
100
Qwen/Qwen3.5-0.8B
https://huggingface.co/Qwen/Qwen3.5-0.8B
Q8
Qwen3_5ForConditionalGeneration
0.9
21.04
5.8
0
7
7
15
0
0
0
0
0
0
0
63.6
67
67
67
67
50
16
30
10
15
20
5
19.8
0
33
0
33
33
Qwen/Qwen3.5-2B
https://huggingface.co/Qwen/Qwen3.5-2B
Q8
Qwen3_5ForConditionalGeneration
2
39.76
24.2
33
40
33
15
0
6.6
0
0
0
0
33
96.6
100
100
100
83
100
44.8
48
33
62
48
33
26.6
33
67
33
0
0
Qwen/Qwen3.5-9B
https://huggingface.co/Qwen/Qwen3.5-9B
Q4
Qwen3_5ForConditionalGeneration
10
70.16
69.8
67
100
67
15
100
46.8
64
24
84
29
33
93.4
100
100
100
100
67
80.8
100
62
85
95
62
60
67
67
100
33
33
Nanbeige/Nanbeige4.1-3B
https://huggingface.co/Nanbeige/Nanbeige4.1-3B
Q8
LlamaForCausalLM
4
64.64
58.6
80
47
67
32
67
35.2
31
0
57
55
33
86.8
67
67
100
100
100
76
100
38
85
95
62
66.6
100
67
33
100
33
Nanbeige/Nanbeige4.2-3B
https://huggingface.co/Nanbeige/Nanbeige4.2-3B
Q8
LlamaForCausalLM
4
76.56
87.6
80
80
100
78
100
70.4
82
65
60
91
54
93.4
100
100
100
67
100
71.4
77
33
85
100
62
60
67
100
67
33
33
allura-forge/Llama-3.3-8B-Instruct
https://huggingface.co/allura-forge/Llama-3.3-8B-Instruct
Q6
LlamaForCausalLM
8
39.68
55.6
63
48
74
53
40
63
58
65
57
68
67
16.8
17
0
0
67
0
36.4
15
5
62
67
33
26.6
33
100
0
0
0
EssentialAI/rnj-1-instruct
https://huggingface.co/EssentialAI/rnj-1-instruct
Q6
Gemma3ForCausalLM
8
46.04
68.8
47
93
100
43
61
71.6
80
51
84
71
72
13.4
0
0
0
67
0
56.4
77
33
62
72
38
20
0
100
0
0
0
mistralai/Ministral-3-3B-Instruct-2512
https://huggingface.co/mistralai/Ministral-3-3B-Instruct-2512
Q8
Mistral3ForConditionalGeneration
4
37.44
58.4
75
45
88
65
19
0
0
0
0
0
0
56.6
83
33
67
83
17
52.2
48
28
85
67
33
20
0
100
0
0
0
mistralai/Ministral-3-8B-Instruct-2512
https://huggingface.co/mistralai/Ministral-3-8B-Instruct-2512
Q6
Mistral3ForConditionalGeneration
9
40.32
55.4
78
22
88
53
36
0
0
0
0
0
0
33.2
17
0
33
83
33
73.2
100
52
85
67
62
39.8
33
100
0
33
33
mistralai/Ministral-3-3B-Reasoning-2512
https://huggingface.co/mistralai/Ministral-3-3B-Reasoning-2512
Q8
Mistral3ForConditionalGeneration
4
42.48
66.2
68
32
77
67
87
0
0
0
0
0
0
63.4
67
33
67
83
67
49.6
43
5
85
53
62
33.2
33
100
33
0
0
mistralai/Ministral-3-8B-Reasoning-2512
https://huggingface.co/mistralai/Ministral-3-8B-Reasoning-2512
Q6
Mistral3ForConditionalGeneration
9
45.8
55.4
63
32
93
53
36
0
0
0
0
0
0
70
83
67
33
100
67
70.4
100
33
85
72
62
33.2
33
100
0
0
33
google/gemma-3-270m-it
https://huggingface.co/google/gemma-3-270m-it
Q8
Gemma3ForCausalLM
0.3
11.72
31.8
45
22
38
37
17
0
0
0
0
0
0
13.4
0
0
0
67
0
0
0
0
0
0
0
13.4
0
67
0
0
0
tiiuae/Falcon-H1-0.5B-Instruct
https://huggingface.co/tiiuae/Falcon-H1-0.5B-Instruct
Q8
FalconH1ForCausalLM
0.5
9.92
26.4
32
15
38
28
19
0
0
0
0
0
0
0
0
0
0
0
0
16.6
15
5
5
48
10
6.6
0
33
0
0
0
tiiuae/Falcon-H1-1.5B-Instruct
https://huggingface.co/tiiuae/Falcon-H1-1.5B-Instruct
Q8
FalconH1ForCausalLM
2
20.08
30.8
40
38
31
28
17
0
0
0
0
0
0
6.6
0
0
0
33
0
49.6
48
28
62
72
38
13.4
0
67
0
0
0
tiiuae/Falcon-H1-1.5B-Deep-Instruct
https://huggingface.co/tiiuae/Falcon-H1-1.5B-Deep-Instruct
Q8
FalconH1ForCausalLM
2
26.2
30.8
40
38
43
22
11
0
0
0
0
0
0
20
0
0
0
100
0
53.4
100
5
62
90
10
26.8
67
67
0
0
0
tiiuae/Falcon-H1-3B-Instruct
https://huggingface.co/tiiuae/Falcon-H1-3B-Instruct
Q8
FalconH1ForCausalLM
3
24.16
33.2
40
38
43
28
17
0
0
0
0
0
0
13.4
0
0
0
67
0
61
100
33
62
77
33
13.2
33
33
0
0
0
tiiuae/Falcon-H1-7B-Instruct
https://huggingface.co/tiiuae/Falcon-H1-7B-Instruct
Q6
FalconH1ForCausalLM
8
22.72
36.4
40
45
38
48
11
0
0
0
0
0
0
6.6
0
0
0
33
0
43.8
20
28
85
53
33
26.8
67
67
0
0
0
upstage/SOLAR-10.7B-Instruct-v1.0
https://huggingface.co/upstage/SOLAR-10.7B-Instruct-v1.0
Q4
LlamaForCausalLM
11
14.96
27
47
7
23
33
25
20.2
14
28
23
3
33
13.4
0
0
0
67
0
7.6
0
28
0
5
5
6.6
0
33
0
0
0
nvidia/NVIDIA-Nemotron-Nano-9B-v2
https://huggingface.co/nvidia/NVIDIA-Nemotron-Nano-9B-v2
Q4
NemotronHForCausalLM
9
70.28
79.8
72
100
93
67
67
83
92
72
89
85
77
76.8
100
67
67
83
67
58.6
67
23
85
90
28
53.2
33
100
33
100
0
nvidia/NVIDIA-Nemotron-Nano-12B-v2-VL-BF16
https://huggingface.co/nvidia/NVIDIA-Nemotron-Nano-12B-v2-VL-BF16
Q4
NemotronH_Nano_VL_V2
13
50.88
85.4
72
92
94
80
89
15.6
0
26
52
0
0
66.6
83
33
67
83
67
47
53
10
38
72
62
39.8
33
100
33
33
0
stamsam/MedusaGemma-E4B
https://huggingface.co/stamsam/MedusaGemma-E4B
Q6
Gemma4ForConditionalGeneration
8
71.16
78.4
80
72
93
53
94
86.8
95
86
87
78
88
60.2
67
67
33
67
67
70.4
95
38
85
72
62
60
33
100
67
67
33
silvjayr/Dolphin3.0-Dumb-Gemma_4_E4B
https://huggingface.co/silvjayr/Dolphin3.0-Dumb-Gemma_4_E4B-GGUF
Q6
Gemma4ForConditionalGeneration
8
51.68
81
80
100
93
65
67
66.6
92
62
52
66
61
13.4
0
0
0
67
0
70.6
77
57
85
72
62
26.8
67
67
0
0
0
llmfan46/gemma-4-E4B-it-ultra-uncensored-heretic
https://huggingface.co/llmfan46/gemma-4-E4B-it-ultra-uncensored-heretic
Q6
Gemma4ForConditionalGeneration
8
74.2
85.6
83
100
100
78
67
84.8
85
86
89
73
91
53.2
83
67
33
50
33
74
100
57
85
95
33
73.4
33
100
67
100
67
HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive
https://huggingface.co/HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive
Q6
Gemma4ForConditionalGeneration
8
71.36
82.6
80
80
93
93
67
86.8
85
93
89
85
82
66.8
83
67
67
50
67
74
100
28
85
95
62
46.6
67
100
33
33
0
OBLITERATUS/gemma-4-E4B-it-OBLITERATED
https://huggingface.co/OBLITERATUS/gemma-4-E4B-it-OBLITERATED
Q6
Gemma4ForConditionalGeneration
8
46.76
67
63
65
93
47
67
52.2
77
48
25
57
54
13.4
50
0
0
17
0
54.6
77
5
62
67
62
46.6
67
100
33
0
33
jialinyyzz/humanizer-gemma-4-e4b
https://huggingface.co/jialinyyzz/humanizer-gemma-4-e4b
Q6
Gemma4ForConditionalGeneration
8
12.28
17.8
13
22
24
13
17
6.6
33
0
0
0
0
23.4
0
100
0
17
0
7
0
5
5
20
5
6.6
0
0
0
33
0
Ayodele01/gemma-4-E4B-Gemini-3.1-Pro-Reasoning-Distill
https://huggingface.co/Ayodele01/gemma-4-E4B-Gemini-3.1-Pro-Reasoning-Distill
Q6
Gemma4ForConditionalGeneration
8
70.24
81
80
80
100
78
67
80.8
85
77
89
73
80
66.6
83
100
33
50
67
76.2
100
57
85
77
62
46.6
67
100
33
33
0
yuxinlu1/gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2
https://huggingface.co/yuxinlu1/gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2
Q4
Gemma4UnifiedForConditionalGeneration
12
74.36
97
100
100
100
85
100
84.6
93
62
90
83
95
76.8
67
67
100
83
67
73.2
100
52
85
72
57
40.2
67
67
0
0
67
llmfan46/gemma-4-E4B-it-uncensored-heretic
https://huggingface.co/llmfan46/gemma-4-E4B-it-uncensored-heretic
Q6
Gemma4ForConditionalGeneration
8
69.52
84
80
80
100
93
67
81
85
77
92
73
78
66.6
83
100
33
50
67
69.4
100
28
85
72
62
46.6
67
100
33
33
0
Jackrong/Gemopus-4-E4B-it
https://huggingface.co/Jackrong/Gemopus-4-E4B-it
Q6
Gemma4ForConditionalGeneration
8
50.8
73.4
80
92
100
62
33
76.8
85
66
86
79
68
20
0
0
0
100
0
50.4
48
33
85
48
38
33.4
67
100
0
0
0
DavidAU/gemma-4-E4B-it-The-DECKARD-Expresso-Universe-HERETIC-UNCENSORED-Thinking
https://huggingface.co/DavidAU/gemma-4-E4B-it-The-DECKARD-Expresso-Universe-HERETIC-UNCENSORED-Thinking
Q6
Gemma4ForConditionalGeneration
8
63.08
68.6
72
72
87
62
50
79.6
85
76
86
76
75
66.6
83
67
33
50
100
67.4
77
28
85
85
62
33.2
33
100
0
33
0
sana0756/Gemma-4-GodMode-V9-Ultimate-Pure
https://huggingface.co/sana0756/Gemma-4-GodMode-V9-Ultimate-Pure
Q6
Gemma4ForConditionalGeneration
8
65.92
76.2
72
80
93
78
58
82.8
85
74
89
85
81
66.6
83
67
67
83
33
70.6
72
62
62
95
62
33.4
67
100
0
0
0
rpDungeon/Gemma-4-E4B-Luchador
https://huggingface.co/rpDungeon/Gemma-4-E4B-Luchador
Q6
Gemma4ForConditionalGeneration
8
76.84
85.6
83
100
100
78
67
89
85
88
92
85
95
60
83
67
33
50
67
76.2
77
62
85
95
62
73.4
67
100
100
67
33
Nubinu/Gemma4-E4B-MiniFantasy-V1
https://huggingface.co/Nubinu/Gemma4-E4B-MiniFantasy-V1
Q6
Gemma4ForConditionalGeneration
8
76.52
81.6
63
100
100
78
67
87.8
97
74
92
83
93
60
100
67
33
50
50
79.8
100
57
85
95
62
73.4
67
100
100
100
0
ermiaazarkhalili/Gemma4-E4B-SFT-Claude-Opus-Reasoning-Unsloth
https://huggingface.co/ermiaazarkhalili/Gemma4-E4B-SFT-Claude-Opus-Reasoning-Unsloth
Q6
Gemma4ForConditionalGeneration
8
32
63.4
38
65
83
70
61
4.4
0
0
22
0
0
46.6
67
33
33
33
67
32.4
48
33
15
33
33
13.2
33
33
0
0
0
FINAL-Bench/Darwin-4B-Genesis
https://huggingface.co/FINAL-Bench/Darwin-4B-Genesis
Q6
Gemma4ForConditionalGeneration
8
72.92
80.6
80
100
100
62
61
87
85
91
92
85
82
66.6
83
67
33
83
67
70.4
100
33
85
72
62
60
67
100
67
33
33

Описание/Description

EN

Here are the results of model testing using the BenchLocal program, the following settings were used: min_p = 1 request time out = 10 000. Five categories were launched for the test, each containing 15 tasks. This verification method checks two things at once: first, that the language model is capable of performing the assigned task. Second, that the model doesn't get stuck or freeze during reasoning.


RU

Здесь представлены результаты проверки моделей, через программу BenchLocal, были использованны следующие настройки, min_p = 1 request time out = 10 000. Для теста запущенно 5 категорий, в каждой 15 задач. Данный вариант проверки проверяет сразу 2 вещи, первое, это то, что языковая модель, способна выполнить поставленную задачу. Второе, это что модель не зацикливаеться и не зависает во время мышления.

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