File size: 10,974 Bytes
57ed744 98d4502 c4929bf 35e1354 98d4502 f99de98 57ed744 6be1a03 c4929bf b8a85de c4929bf 4d86365 8b292ee c4929bf 35e1354 ed2da13 35e1354 28d9c7b daeebc2 28d9c7b daeebc2 4f2baf8 28d9c7b 5051fd0 aaa1ce8 c4929bf 35e1354 e52fa47 35e1354 c4929bf 7ea0bdf c4929bf 35e1354 c4929bf 35e1354 c4929bf 35e1354 c4929bf 98d4502 f99de98 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 |
---
license: cc-by-nc-4.0
library_name: transformers
tags:
- mergekit
- merge
- alpaca
- mistral
- not-for-all-audiences
- nsfw
base_model:
- icefog72/Kunokukulemonchini-32k-7b
- icefog72/Mixtral_AI_Cyber_3.m1-BigL
- grimjim/kukulemon-32K-7B
- LeroyDyer/Mixtral_AI_Cyber_3.m1
- Nitral-AI/Kunocchini-7b-128k-test
- Undi95/BigL-7B
model-index:
- name: IceLemonTeaRP-32k-7b
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 67.66
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/IceLemonTeaRP-32k-7b
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 86.53
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/IceLemonTeaRP-32k-7b
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 64.51
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/IceLemonTeaRP-32k-7b
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 61.76
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/IceLemonTeaRP-32k-7b
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 79.72
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/IceLemonTeaRP-32k-7b
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 62.4
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/IceLemonTeaRP-32k-7b
name: Open LLM Leaderboard
- 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: 52.12
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceLemonTeaRP-32k-7b
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: 30.14
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceLemonTeaRP-32k-7b
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: 4.83
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceLemonTeaRP-32k-7b
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: 5.37
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceLemonTeaRP-32k-7b
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: 12.2
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceLemonTeaRP-32k-7b
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: 22.97
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceLemonTeaRP-32k-7b
name: Open LLM Leaderboard
---
# IceLemonTeaRP-32k-7b
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
I would suggest to play with rope_theta in config.json to set between 40000-100000.
## Merge Details
Cooked merge from fresh ingredients to fix [icefog72/IceTeaRP-7b](https://huggingface.co/icefog72/IceTeaRP-7b) repetition problems.
Prompt template: Alpaca, maybe ChatML
* measurement.json for quanting exl2 included.
- [IceLemonTeaRP-32k-7b-4.0bpw-h6-exl2](https://huggingface.co/icefog72/IceLemonTeaRP-32k-7b-4.0bpw-h6-exl2)
- [IceLemonTeaRP-32k-7b-4.2bpw-h6-exl2](https://huggingface.co/icefog72/IceLemonTeaRP-32k-7b-4.2bpw-h6-exl2)
- [IceLemonTeaRP-32k-7b-6.5bpw-h6-exl2](https://huggingface.co/icefog72/IceLemonTeaRP-32k-7b-6.5bpw-h6-exl2)
- [IceLemonTeaRP-32k-7b-8.0bpw-h6-exl2](https://huggingface.co/icefog72/IceLemonTeaRP-32k-7b-8.0bpw-h6-exl2)
Thanks for
- [mradermacher/IceTeaRP-7b-GGUF](https://huggingface.co/mradermacher/IceLemonTeaRP-32k-7b-GGUF)
- [Natkituwu/IceLemonTeaRP-32k-7b-7.1bpw-exl2](https://huggingface.co/Natkituwu/IceLemonTeaRP-32k-7b-7.1bpw-exl2)
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* icefog72/Kunokukulemonchini-32k-7b
* [grimjim/kukulemon-32K-7B](https://huggingface.co/grimjim/kukulemon-32K-7B)
* [Nitral-AI/Kunocchini-7b-128k-test](https://huggingface.co/Nitral-AI/Kunocchini-7b-128k-test)
* icefog72/Mixtral_AI_Cyber_3.m1-BigL
* [LeroyDyer/Mixtral_AI_Cyber_3.m1](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_3.m1)
* [Undi95/BigL-7B](https://huggingface.co/Undi95/BigL-7B)
## How to download From the command line
I recommend using the `huggingface-hub` Python library:
```shell
pip3 install huggingface-hub
```
To download the `main` branch to a folder called `IceLemonTeaRP-32k-7b`:
```shell
mkdir IceLemonTeaRP-32k-7b
huggingface-cli download icefog72/IceLemonTeaRP-32k-7b --local-dir IceLemonTeaRP-32k-7b --local-dir-use-symlinks False
```
<details>
<summary>More advanced huggingface-cli download usage</summary>
If you remove the `--local-dir-use-symlinks False` parameter, the files will instead be stored in the central Hugging Face cache directory (default location on Linux is: `~/.cache/huggingface`), and symlinks will be added to the specified `--local-dir`, pointing to their real location in the cache. This allows for interrupted downloads to be resumed, and allows you to quickly clone the repo to multiple places on disk without triggering a download again. The downside, and the reason why I don't list that as the default option, is that the files are then hidden away in a cache folder and it's harder to know where your disk space is being used, and to clear it up if/when you want to remove a download model.
The cache location can be changed with the `HF_HOME` environment variable, and/or the `--cache-dir` parameter to `huggingface-cli`.
For more documentation on downloading with `huggingface-cli`, please see: [HF -> Hub Python Library -> Download files -> Download from the CLI](https://huggingface.co/docs/huggingface_hub/guides/download#download-from-the-cli).
To accelerate downloads on fast connections (1Gbit/s or higher), install `hf_transfer`:
```shell
pip3 install hf_transfer
```
And set environment variable `HF_HUB_ENABLE_HF_TRANSFER` to `1`:
```shell
mkdir FOLDERNAME
HF_HUB_ENABLE_HF_TRANSFER=1 huggingface-cli download MODEL --local-dir FOLDERNAME --local-dir-use-symlinks False
```
Windows Command Line users: You can set the environment variable by running `set HF_HUB_ENABLE_HF_TRANSFER=1` before the download command.
</details>
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: Mixtral_AI_Cyber_3.m1-BigL
layer_range: [0, 32]
- model: Kunokukulemonchini-32k-7b
layer_range: [0, 32]
merge_method: slerp
base_model: Kunokukulemonchini-32k-7b
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: float16
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_icefog72__IceLemonTeaRP-32k-7b)
| Metric |Value|
|---------------------------------|----:|
|Avg. |70.43|
|AI2 Reasoning Challenge (25-Shot)|67.66|
|HellaSwag (10-Shot) |86.53|
|MMLU (5-Shot) |64.51|
|TruthfulQA (0-shot) |61.76|
|Winogrande (5-shot) |79.72|
|GSM8k (5-shot) |62.40|
# [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_icefog72__IceLemonTeaRP-32k-7b)
| Metric |Value|
|-------------------|----:|
|Avg. |21.27|
|IFEval (0-Shot) |52.12|
|BBH (3-Shot) |30.14|
|MATH Lvl 5 (4-Shot)| 4.83|
|GPQA (0-shot) | 5.37|
|MuSR (0-shot) |12.20|
|MMLU-PRO (5-shot) |22.97|
|