Adding Evaluation Results
#3
by
leaderboard-pr-bot
- opened
README.md
CHANGED
@@ -1,4 +1,5 @@
|
|
1 |
---
|
|
|
2 |
tags:
|
3 |
- merge
|
4 |
- mergekit
|
@@ -8,7 +9,109 @@ tags:
|
|
8 |
base_model:
|
9 |
- liminerity/binarized-ingotrix-slerp-7b
|
10 |
- eren23/dpo-binarized-NeutrixOmnibe-7B
|
11 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
12 |
---
|
13 |
Title: Introducing Omningotex-7b: The World's Most Accurate 7B LLM
|
14 |
|
@@ -76,4 +179,17 @@ pipeline = transformers.pipeline(
|
|
76 |
|
77 |
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
|
78 |
print(outputs[0]["generated_text"])
|
79 |
-
```
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
+
license: apache-2.0
|
3 |
tags:
|
4 |
- merge
|
5 |
- mergekit
|
|
|
9 |
base_model:
|
10 |
- liminerity/binarized-ingotrix-slerp-7b
|
11 |
- eren23/dpo-binarized-NeutrixOmnibe-7B
|
12 |
+
model-index:
|
13 |
+
- name: Omningotex-7b-slerp
|
14 |
+
results:
|
15 |
+
- task:
|
16 |
+
type: text-generation
|
17 |
+
name: Text Generation
|
18 |
+
dataset:
|
19 |
+
name: AI2 Reasoning Challenge (25-Shot)
|
20 |
+
type: ai2_arc
|
21 |
+
config: ARC-Challenge
|
22 |
+
split: test
|
23 |
+
args:
|
24 |
+
num_few_shot: 25
|
25 |
+
metrics:
|
26 |
+
- type: acc_norm
|
27 |
+
value: 73.29
|
28 |
+
name: normalized accuracy
|
29 |
+
source:
|
30 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/Omningotex-7b-slerp
|
31 |
+
name: Open LLM Leaderboard
|
32 |
+
- task:
|
33 |
+
type: text-generation
|
34 |
+
name: Text Generation
|
35 |
+
dataset:
|
36 |
+
name: HellaSwag (10-Shot)
|
37 |
+
type: hellaswag
|
38 |
+
split: validation
|
39 |
+
args:
|
40 |
+
num_few_shot: 10
|
41 |
+
metrics:
|
42 |
+
- type: acc_norm
|
43 |
+
value: 88.96
|
44 |
+
name: normalized accuracy
|
45 |
+
source:
|
46 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/Omningotex-7b-slerp
|
47 |
+
name: Open LLM Leaderboard
|
48 |
+
- task:
|
49 |
+
type: text-generation
|
50 |
+
name: Text Generation
|
51 |
+
dataset:
|
52 |
+
name: MMLU (5-Shot)
|
53 |
+
type: cais/mmlu
|
54 |
+
config: all
|
55 |
+
split: test
|
56 |
+
args:
|
57 |
+
num_few_shot: 5
|
58 |
+
metrics:
|
59 |
+
- type: acc
|
60 |
+
value: 64.69
|
61 |
+
name: accuracy
|
62 |
+
source:
|
63 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/Omningotex-7b-slerp
|
64 |
+
name: Open LLM Leaderboard
|
65 |
+
- task:
|
66 |
+
type: text-generation
|
67 |
+
name: Text Generation
|
68 |
+
dataset:
|
69 |
+
name: TruthfulQA (0-shot)
|
70 |
+
type: truthful_qa
|
71 |
+
config: multiple_choice
|
72 |
+
split: validation
|
73 |
+
args:
|
74 |
+
num_few_shot: 0
|
75 |
+
metrics:
|
76 |
+
- type: mc2
|
77 |
+
value: 76.32
|
78 |
+
source:
|
79 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/Omningotex-7b-slerp
|
80 |
+
name: Open LLM Leaderboard
|
81 |
+
- task:
|
82 |
+
type: text-generation
|
83 |
+
name: Text Generation
|
84 |
+
dataset:
|
85 |
+
name: Winogrande (5-shot)
|
86 |
+
type: winogrande
|
87 |
+
config: winogrande_xl
|
88 |
+
split: validation
|
89 |
+
args:
|
90 |
+
num_few_shot: 5
|
91 |
+
metrics:
|
92 |
+
- type: acc
|
93 |
+
value: 84.21
|
94 |
+
name: accuracy
|
95 |
+
source:
|
96 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/Omningotex-7b-slerp
|
97 |
+
name: Open LLM Leaderboard
|
98 |
+
- task:
|
99 |
+
type: text-generation
|
100 |
+
name: Text Generation
|
101 |
+
dataset:
|
102 |
+
name: GSM8k (5-shot)
|
103 |
+
type: gsm8k
|
104 |
+
config: main
|
105 |
+
split: test
|
106 |
+
args:
|
107 |
+
num_few_shot: 5
|
108 |
+
metrics:
|
109 |
+
- type: acc
|
110 |
+
value: 70.51
|
111 |
+
name: accuracy
|
112 |
+
source:
|
113 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/Omningotex-7b-slerp
|
114 |
+
name: Open LLM Leaderboard
|
115 |
---
|
116 |
Title: Introducing Omningotex-7b: The World's Most Accurate 7B LLM
|
117 |
|
|
|
179 |
|
180 |
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
|
181 |
print(outputs[0]["generated_text"])
|
182 |
+
```
|
183 |
+
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|
184 |
+
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_liminerity__Omningotex-7b-slerp)
|
185 |
+
|
186 |
+
| Metric |Value|
|
187 |
+
|---------------------------------|----:|
|
188 |
+
|Avg. |76.33|
|
189 |
+
|AI2 Reasoning Challenge (25-Shot)|73.29|
|
190 |
+
|HellaSwag (10-Shot) |88.96|
|
191 |
+
|MMLU (5-Shot) |64.69|
|
192 |
+
|TruthfulQA (0-shot) |76.32|
|
193 |
+
|Winogrande (5-shot) |84.21|
|
194 |
+
|GSM8k (5-shot) |70.51|
|
195 |
+
|