Hugging Face's logo

zelk12
/
recoilme-gemma-2-Ataraxy-9B-v0.2

Text Generation
Transformers
Safetensors
gemma2
mergekit
Merge
conversational
Eval Results
text-generation-inference
Inference Endpoints
Model card Files Community
1
recoilme-gemma-2-Ataraxy-9B-v0.2
File size: 4,208 Bytes 
f1c21e7
 
 
 
 
f990739
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
f1c21e7
 
 
 
 
 
 
76f56b2
f1c21e7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
f990739
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
 
---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.75
- zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.25
model-index:
- name: recoilme-gemma-2-Ataraxy-9B-v0.2
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 76.0
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/recoilme-gemma-2-Ataraxy-9B-v0.2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 43.63
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/recoilme-gemma-2-Ataraxy-9B-v0.2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 1.13
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/recoilme-gemma-2-Ataraxy-9B-v0.2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 13.09
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/recoilme-gemma-2-Ataraxy-9B-v0.2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 9.84
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/recoilme-gemma-2-Ataraxy-9B-v0.2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 36.92
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/recoilme-gemma-2-Ataraxy-9B-v0.2
      name: Open LLM Leaderboard
---
# merge

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details
### Merge Method
 
This model was merged using the SLERP merge method.

### Models Merged

The following models were included in the merge:
* [zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.75](https://huggingface.co/zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.75)
* [zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.25](https://huggingface.co/zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.25)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.25
  - model: zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.75
merge_method: slerp
base_model: zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.25
dtype: bfloat16
parameters:
  t: 0.5

```

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_zelk12__recoilme-gemma-2-Ataraxy-9B-v0.2)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |30.10|
|IFEval (0-Shot)    |76.00|
|BBH (3-Shot)       |43.63|
|MATH Lvl 5 (4-Shot)| 1.13|
|GPQA (0-shot)      |13.09|
|MuSR (0-shot)      | 9.84|
|MMLU-PRO (5-shot)  |36.92|