Files changed (1) hide show
  1. README.md +118 -2
README.md CHANGED
@@ -1,4 +1,5 @@
1
  ---
 
2
  tags:
3
  - merge
4
  - mergekit
@@ -10,7 +11,109 @@ base_model:
10
  - flemmingmiguel/NeuDist-Ro-7B
11
  - Blizado/discolm-mfto-7b-german-v0.1
12
  - ResplendentAI/Flora_DPO_7B
13
- license: cc-by-sa-4.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
14
  ---
15
 
16
  # Spaetzle-v12-7b
@@ -71,4 +174,17 @@ pipeline = transformers.pipeline(
71
 
72
  outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
73
  print(outputs[0]["generated_text"])
74
- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ license: cc-by-sa-4.0
3
  tags:
4
  - merge
5
  - mergekit
 
11
  - flemmingmiguel/NeuDist-Ro-7B
12
  - Blizado/discolm-mfto-7b-german-v0.1
13
  - ResplendentAI/Flora_DPO_7B
14
+ model-index:
15
+ - name: Spaetzle-v12-7b
16
+ results:
17
+ - task:
18
+ type: text-generation
19
+ name: Text Generation
20
+ dataset:
21
+ name: AI2 Reasoning Challenge (25-Shot)
22
+ type: ai2_arc
23
+ config: ARC-Challenge
24
+ split: test
25
+ args:
26
+ num_few_shot: 25
27
+ metrics:
28
+ - type: acc_norm
29
+ value: 65.96
30
+ name: normalized accuracy
31
+ source:
32
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cstr/Spaetzle-v12-7b
33
+ name: Open LLM Leaderboard
34
+ - task:
35
+ type: text-generation
36
+ name: Text Generation
37
+ dataset:
38
+ name: HellaSwag (10-Shot)
39
+ type: hellaswag
40
+ split: validation
41
+ args:
42
+ num_few_shot: 10
43
+ metrics:
44
+ - type: acc_norm
45
+ value: 86.16
46
+ name: normalized accuracy
47
+ source:
48
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cstr/Spaetzle-v12-7b
49
+ name: Open LLM Leaderboard
50
+ - task:
51
+ type: text-generation
52
+ name: Text Generation
53
+ dataset:
54
+ name: MMLU (5-Shot)
55
+ type: cais/mmlu
56
+ config: all
57
+ split: test
58
+ args:
59
+ num_few_shot: 5
60
+ metrics:
61
+ - type: acc
62
+ value: 63.48
63
+ name: accuracy
64
+ source:
65
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cstr/Spaetzle-v12-7b
66
+ name: Open LLM Leaderboard
67
+ - task:
68
+ type: text-generation
69
+ name: Text Generation
70
+ dataset:
71
+ name: TruthfulQA (0-shot)
72
+ type: truthful_qa
73
+ config: multiple_choice
74
+ split: validation
75
+ args:
76
+ num_few_shot: 0
77
+ metrics:
78
+ - type: mc2
79
+ value: 57.84
80
+ source:
81
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cstr/Spaetzle-v12-7b
82
+ name: Open LLM Leaderboard
83
+ - task:
84
+ type: text-generation
85
+ name: Text Generation
86
+ dataset:
87
+ name: Winogrande (5-shot)
88
+ type: winogrande
89
+ config: winogrande_xl
90
+ split: validation
91
+ args:
92
+ num_few_shot: 5
93
+ metrics:
94
+ - type: acc
95
+ value: 80.03
96
+ name: accuracy
97
+ source:
98
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cstr/Spaetzle-v12-7b
99
+ name: Open LLM Leaderboard
100
+ - task:
101
+ type: text-generation
102
+ name: Text Generation
103
+ dataset:
104
+ name: GSM8k (5-shot)
105
+ type: gsm8k
106
+ config: main
107
+ split: test
108
+ args:
109
+ num_few_shot: 5
110
+ metrics:
111
+ - type: acc
112
+ value: 62.7
113
+ name: accuracy
114
+ source:
115
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cstr/Spaetzle-v12-7b
116
+ name: Open LLM Leaderboard
117
  ---
118
 
119
  # Spaetzle-v12-7b
 
174
 
175
  outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
176
  print(outputs[0]["generated_text"])
177
+ ```
178
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
179
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_cstr__Spaetzle-v12-7b)
180
+
181
+ | Metric |Value|
182
+ |---------------------------------|----:|
183
+ |Avg. |69.36|
184
+ |AI2 Reasoning Challenge (25-Shot)|65.96|
185
+ |HellaSwag (10-Shot) |86.16|
186
+ |MMLU (5-Shot) |63.48|
187
+ |TruthfulQA (0-shot) |57.84|
188
+ |Winogrande (5-shot) |80.03|
189
+ |GSM8k (5-shot) |62.70|
190
+