MMODELYST
Evals/IFEval
EVL

IFEval

Instruction following

Source
benchmarkLanguage & Instruction% of verifiable instructions obeyed541 items
What this measures

Does the model actually *follow instructions*? Each prompt has checkable rules ('reply in exactly 3 bullet points,' 'don't use the letter e') and a program verifies compliance.

Sample
'Write a 2-paragraph summary of photosynthesis in all lowercase, with no commas.' — a script checks every constraint.
Leaderboard · 97 models
% of verifiable instructions obeyed — higher is better
1Llama-3.3-70B-Instruct
92.1
2Llama-3.1-70B-Instruct
87.5
3calme-2.1-qwen2.5-72b
86.6
4Llama-3.1-SauerkrautLM-70b-Instruct
86.6
5Qwen2.5-72B-Instruct
86.4
6DeepSeek-V3
86.1
7calme-2.3-llama3.1-70b
86.0
8calme-2.2-llama3.1-70b
85.9
9Qwen2.5-72B-Instruct-abliterated
85.9
10ZYH-LLM-Qwen2.5-14B-V3
85.8
11orca_mini_v8_1_70b
85.7
12RYS-Llama3.1-Large
84.9
13Gilgamesh-72B
84.9
14calme-2.2-qwen2.5-72b
84.8
15test-2.5-72B
84.4
16calme-2.1-llama3.1-70b
84.3
17Rombos-LLM-V2.6-Qwen-14b
84.3
18Qwen2.5-95B-Instruct
84.3
19virtuoso-small-v2-tensopolis-v1
84.2
20solar-pro-preview-instruct
84.2
21Qwen2.5-14B-Instruct-1M-GRPO-Reasoning
84.1
22Qwen2.5-14B-Instruct-1M
84.1
23Mistral-Large-Instruct-2411
84.0
24Qwen2.5-14B-1M-YOYO-V3
84.0
25Qwen2.5-14B-YOYO-V4
84.0
26EXAONE-3.5-32B-Instruct
83.9
27orca_mini_v9_2_70b
83.8
28Llama-3.1-Tulu-3-70B
83.8
29ZYH-LLM-Qwen2.5-14B-V4
83.6
30Qwen2.5-32B-Instruct
83.5
31Cheng-2
83.4
32Qwen2.5-32B-Instruct-abliterated-v2
83.3
34Qwen2.5-14B-Instruct-abliterated-v2
83.3
35Configurable-Llama-3.1-8B-Instruct
83.1
36Q2.5-Veltha-14B
82.9
38Llama-3.1-Tulu-3-70B-DPO
82.8
39Virtuoso-Small-v2
82.7
40Cheng-2-v1.1
82.7
41Llama-3.1-Tulu-3-8B
82.7
42Dearly_Beloved-8B-TIES
82.7
43Awqward2.5-32B-Instruct
82.5
44Linkbricks-Horizon-AI-Avengers-V3-32B
82.5
45Dinobot-Opus-14B-Exp
82.4
47miscii-14b-1028
82.4
48lambda-qwen2.5-14b-dpo-test
82.3
49llama3.1-kartoffeldes-70B
82.3
50Qwen2.5-14B-it-restore
82.1
51Linkbricks-Horizon-AI-Avengers-V6-32B
82.1
52calme-2.2-llama3-70b
82.1
54Qwen2.5-14B-YOYO-V4-p1
82.0
55Qwen2.5-14B-Gutenberg-Instruct-Slerpeno
82.0
56Tulu-3.1-8B-SuperNova
81.9
58CalmeRys-78B-Orpo-v0.1
81.6
59calme-2.1-qwen2-72b
81.6
60Qwen2.5-14B-Instruct
81.6
61shuttle-3
81.5
62Llama_3.1_8b_Smarteaz_V1.01
81.5
64Qwen2.5-14B-Instruct
81.4
66EXAONE-3.5-7.8B-Instruct
81.4
67calme-2.1-rys-78b
81.4
68calme-3.1-instruct-78b
81.4
69Llama3.1-IgneousIguana-8B
81.3
70li-14b-v0.4
81.3
71openbuddy-llama3.3-70b-v24.1-131k
81.2
72Qwen2.5-THREADRIPPER-Medium-Censored
81.1
73ZEUS-8B-V11
81.0
74Virtuoso-Lite
81.0
75Meta-Llama-3-70B-Instruct
81.0
76ichor_1.1-8B-Model_Stock
81.0
77Llama-3.1-SuperNova-8B-Lite_TIES_with_Base
81.0
78Qwen2.5-Gutenberg-Doppel-14B
80.9
79FluentlyLM-Prinum
80.9
80Llama3-TenyxChat-70B
80.9
81tempmotacilla-cinerea-0308
80.8
82lambda-qwen2.5-32b-dpo-test
80.8
83Llama-3.1-8B-Ultra-Instruct
80.8
84Llama_3.1_8b_Typhoon_v1.03
80.8
85Meta-LLama-3-Cat-Smaug-LLama-70b
80.7
86virtuoso-lite-tensopolis-v1
80.7
87calme-2.3-rys-78b
80.7
88Qwen2.5-Lumen-14B
80.6
89calme-3.2-instruct-78b
80.6
90tempesthenno-kto-0205-ckpt80
80.5
91Llama_3.1_8b_DodoWild_v2.10
80.5
92MT4-Gen2-gemma-2-9B
80.5
93RYS-Llama-3-Large-Instruct
80.5
94Llama-3.1-Tulu-3-70B-SFT
80.5
95MT5-gemma-2-9B
80.5
96Qwen2.5-14B-YOYO-V4-p2
80.5
97BBAIIFEV1
80.5
Benchmark health
active

Discriminating but climbing — the frontier is moving up this benchmark.

86.9
top-10 mean
92.1
best
97
models
What improves this score

Datasets & environments shown to raise it.