Files changed (1) hide show
  1. README.md +114 -6
README.md CHANGED
@@ -1,13 +1,108 @@
1
  ---
 
 
2
  license: apache-2.0
 
 
 
3
  base_model:
4
  - Qwen/Qwen2.5-7B
5
  pipeline_tag: text-generation
6
- tags:
7
- - not-for-all-audiences
8
- language:
9
- - en
10
- library_name: transformers
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
11
  ---
12
 
13
  ## Model Description
@@ -119,4 +214,17 @@ models_dir: "./input_models/"
119
 
120
  output_dir: "./merged_model/"
121
 
122
- metric_dir: "./metrics/"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ language:
3
+ - en
4
  license: apache-2.0
5
+ library_name: transformers
6
+ tags:
7
+ - not-for-all-audiences
8
  base_model:
9
  - Qwen/Qwen2.5-7B
10
  pipeline_tag: text-generation
11
+ model-index:
12
+ - name: Qwen-7B-nerd-uncensored-v1.0
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: 61.51
25
+ name: strict accuracy
26
+ source:
27
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=jeffmeloy/Qwen-7B-nerd-uncensored-v1.0
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: 34.19
40
+ name: normalized accuracy
41
+ source:
42
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=jeffmeloy/Qwen-7B-nerd-uncensored-v1.0
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: 24.7
55
+ name: exact match
56
+ source:
57
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=jeffmeloy/Qwen-7B-nerd-uncensored-v1.0
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: 10.4
70
+ name: acc_norm
71
+ source:
72
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=jeffmeloy/Qwen-7B-nerd-uncensored-v1.0
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: 18.91
85
+ name: acc_norm
86
+ source:
87
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=jeffmeloy/Qwen-7B-nerd-uncensored-v1.0
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: 37.36
102
+ name: accuracy
103
+ source:
104
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=jeffmeloy/Qwen-7B-nerd-uncensored-v1.0
105
+ name: Open LLM Leaderboard
106
  ---
107
 
108
  ## Model Description
 
214
 
215
  output_dir: "./merged_model/"
216
 
217
+ metric_dir: "./metrics/"
218
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
219
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_jeffmeloy__Qwen-7B-nerd-uncensored-v1.0)
220
+
221
+ | Metric |Value|
222
+ |-------------------|----:|
223
+ |Avg. |31.18|
224
+ |IFEval (0-Shot) |61.51|
225
+ |BBH (3-Shot) |34.19|
226
+ |MATH Lvl 5 (4-Shot)|24.70|
227
+ |GPQA (0-shot) |10.40|
228
+ |MuSR (0-shot) |18.91|
229
+ |MMLU-PRO (5-shot) |37.36|
230
+