Hugging Face's logo

CultriX
/
SeQwence-14Bv3

Text Generation
Transformers
Safetensors
qwen2
mergekit
Merge
conversational
Eval Results
text-generation-inference
Inference Endpoints
Model card Files Community
2
SeQwence-14Bv3
File size: 6,466 Bytes 
b3f2b52
 
 
 
 
a8c8f64
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
b3f2b52
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
a8c8f64
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
 
---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- CultriX/SeQwence-14Bv2
- CultriX/Qwestion-14B
- CultriX/SeQwence-14Bv1
model-index:
- name: SeQwence-14Bv3
  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: 57.19
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/SeQwence-14Bv3
      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: 46.39
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/SeQwence-14Bv3
      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: 22.13
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/SeQwence-14Bv3
      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: 15.32
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/SeQwence-14Bv3
      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: 17.27
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/SeQwence-14Bv3
      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: 48.17
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/SeQwence-14Bv3
      name: Open LLM Leaderboard
---
# final_model

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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [CultriX/SeQwence-14Bv1](https://huggingface.co/CultriX/SeQwence-14Bv1) as a base.

### Models Merged

The following models were included in the merge:
* [CultriX/SeQwence-14Bv2](https://huggingface.co/CultriX/SeQwence-14Bv2)
* [CultriX/Qwestion-14B](https://huggingface.co/CultriX/Qwestion-14B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: CultriX/SeQwence-14Bv1
dtype: bfloat16
merge_method: dare_ties
parameters:
  int8_mask: 1.0
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 8]
    model: CultriX/SeQwence-14Bv1
    parameters:
      density: 1.0
      weight: 0.34927958017496047
  - layer_range: [0, 8]
    model: CultriX/Qwestion-14B
    parameters:
      density: 1.0
      weight: 0.4785529567298472
  - layer_range: [0, 8]
    model: CultriX/SeQwence-14Bv2
    parameters:
      density: 0.9095619834430182
      weight: 0.08292400341270245
- sources:
  - layer_range: [8, 16]
    model: CultriX/SeQwence-14Bv1
    parameters:
      density: 1.0
      weight: 0.31847489577754107
  - layer_range: [8, 16]
    model: CultriX/Qwestion-14B
    parameters:
      density: 1.0
      weight: 0.34008726542768253
  - layer_range: [8, 16]
    model: CultriX/SeQwence-14Bv2
    parameters:
      density: 1.0
      weight: -0.010187285487908426
- sources:
  - layer_range: [16, 24]
    model: CultriX/SeQwence-14Bv1
    parameters:
      density: 1.0
      weight: 0.1562216100470764
  - layer_range: [16, 24]
    model: CultriX/Qwestion-14B
    parameters:
      density: 1.0
      weight: 0.31090250951964327
  - layer_range: [16, 24]
    model: CultriX/SeQwence-14Bv2
    parameters:
      density: 0.8226944254037076
      weight: 0.4055505847346826
- sources:
  - layer_range: [24, 32]
    model: CultriX/SeQwence-14Bv1
    parameters:
      density: 1.0
      weight: 0.1478643123383346
  - layer_range: [24, 32]
    model: CultriX/Qwestion-14B
    parameters:
      density: 0.8233564236912981
      weight: 0.34508971280776113
  - layer_range: [24, 32]
    model: CultriX/SeQwence-14Bv2
    parameters:
      density: 1.0
      weight: 0.47963393901209633
- sources:
  - layer_range: [32, 40]
    model: CultriX/SeQwence-14Bv1
    parameters:
      density: 0.9078052860602195
      weight: 0.5051482718423455
  - layer_range: [32, 40]
    model: CultriX/Qwestion-14B
    parameters:
      density: 1.0
      weight: 0.21938011111527006
  - layer_range: [32, 40]
    model: CultriX/SeQwence-14Bv2
    parameters:
      density: 0.9287247232625168
      weight: 0.12414619742696054
- sources:
  - layer_range: [40, 48]
    model: CultriX/SeQwence-14Bv1
    parameters:
      density: 1.0
      weight: 0.1932759286778445
  - layer_range: [40, 48]
    model: CultriX/Qwestion-14B
    parameters:
      density: 0.9846832888894079
      weight: 0.572903756192807
  - layer_range: [40, 48]
    model: CultriX/SeQwence-14Bv2
    parameters:
      density: 1.0
      weight: 0.33759567132306584
```

# [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_CultriX__SeQwence-14Bv3)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |34.41|
|IFEval (0-Shot)    |57.19|
|BBH (3-Shot)       |46.39|
|MATH Lvl 5 (4-Shot)|22.13|
|GPQA (0-shot)      |15.32|
|MuSR (0-shot)      |17.27|
|MMLU-PRO (5-shot)  |48.17|