Hugging Face's logo

icefog72
/
IceSakeV8RP-7b

Text Generation
Transformers
Safetensors
mistral
mergekit
Merge
alpaca
Not-For-All-Audiences
nsfw
conversational
Eval Results
text-generation-inference
Inference Endpoints
Model card Files Community
1
icefog72 leaderboard-pr-bot commited on
Commit
13ba813
•
1 Parent(s): 18699ea

Adding Evaluation Results (#1)

Browse files

- Adding Evaluation Results (cab63d0427999db715ef6ea8ba99c9ada513a899)


Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>

Files changed (1) hide show
  1. README.md +109 -1
README.md CHANGED
@@ -8,7 +8,101 @@ tags:
8
  - mistral
9
  - not-for-all-audiences
10
  - nsfw
11
-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
12
  ---
13
  # IceSakeV8RP-7b
14
 
@@ -55,3 +149,17 @@ dtype: float16
55
 
56
 
57
  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8
  - mistral
9
  - not-for-all-audiences
10
  - nsfw
11
+ model-index:
12
+ - name: IceSakeV8RP-7b
13
+ results:
14
+ - task:
15
+ type: text-generation
16
+ name: Text Generation
17
+ dataset:
18
+ name: IFEval (0-Shot)
19
+ type: HuggingFaceH4/ifeval
20
+ args:
21
+ num_few_shot: 0
22
+ metrics:
23
+ - type: inst_level_strict_acc and prompt_level_strict_acc
24
+ value: 60.86
25
+ name: strict accuracy
26
+ source:
27
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceSakeV8RP-7b
28
+ name: Open LLM Leaderboard
29
+ - task:
30
+ type: text-generation
31
+ name: Text Generation
32
+ dataset:
33
+ name: BBH (3-Shot)
34
+ type: BBH
35
+ args:
36
+ num_few_shot: 3
37
+ metrics:
38
+ - type: acc_norm
39
+ value: 28.97
40
+ name: normalized accuracy
41
+ source:
42
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceSakeV8RP-7b
43
+ name: Open LLM Leaderboard
44
+ - task:
45
+ type: text-generation
46
+ name: Text Generation
47
+ dataset:
48
+ name: MATH Lvl 5 (4-Shot)
49
+ type: hendrycks/competition_math
50
+ args:
51
+ num_few_shot: 4
52
+ metrics:
53
+ - type: exact_match
54
+ value: 5.66
55
+ name: exact match
56
+ source:
57
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceSakeV8RP-7b
58
+ name: Open LLM Leaderboard
59
+ - task:
60
+ type: text-generation
61
+ name: Text Generation
62
+ dataset:
63
+ name: GPQA (0-shot)
64
+ type: Idavidrein/gpqa
65
+ args:
66
+ num_few_shot: 0
67
+ metrics:
68
+ - type: acc_norm
69
+ value: 3.47
70
+ name: acc_norm
71
+ source:
72
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceSakeV8RP-7b
73
+ name: Open LLM Leaderboard
74
+ - task:
75
+ type: text-generation
76
+ name: Text Generation
77
+ dataset:
78
+ name: MuSR (0-shot)
79
+ type: TAUR-Lab/MuSR
80
+ args:
81
+ num_few_shot: 0
82
+ metrics:
83
+ - type: acc_norm
84
+ value: 8.54
85
+ name: acc_norm
86
+ source:
87
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceSakeV8RP-7b
88
+ name: Open LLM Leaderboard
89
+ - task:
90
+ type: text-generation
91
+ name: Text Generation
92
+ dataset:
93
+ name: MMLU-PRO (5-shot)
94
+ type: TIGER-Lab/MMLU-Pro
95
+ config: main
96
+ split: test
97
+ args:
98
+ num_few_shot: 5
99
+ metrics:
100
+ - type: acc
101
+ value: 22.34
102
+ name: accuracy
103
+ source:
104
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceSakeV8RP-7b
105
+ name: Open LLM Leaderboard
106
  ---
107
  # IceSakeV8RP-7b
108
 
 
149
 
150
 
151
  ```
152
+
153
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
154
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_icefog72__IceSakeV8RP-7b)
155
+
156
+ | Metric |Value|
157
+ |-------------------|----:|
158
+ |Avg. |21.64|
159
+ |IFEval (0-Shot) |60.86|
160
+ |BBH (3-Shot) |28.97|
161
+ |MATH Lvl 5 (4-Shot)| 5.66|
162
+ |GPQA (0-shot) | 3.47|
163
+ |MuSR (0-shot) | 8.54|
164
+ |MMLU-PRO (5-shot) |22.34|
165
+