Commit
•
9c1aa34
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Parent(s):
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Upload folder using huggingface_hub
Browse files- README.md +539 -0
- config.json +40 -0
- mergekit_config.yml +11 -0
- model.safetensors.index.json +1 -0
- output-00001-of-00002.safetensors +3 -0
- output-00002-of-00002.safetensors +3 -0
- special_tokens_map.json +17 -0
- tokenizer.json +0 -0
- tokenizer_config.json +2065 -0
README.md
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| 1 |
+
---
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| 2 |
+
pipeline_tag: text-generation
|
| 3 |
+
library_name: transformers
|
| 4 |
+
language:
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| 5 |
+
- en
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| 6 |
+
license: llama3
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| 7 |
+
tags:
|
| 8 |
+
- mergekit
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| 9 |
+
- merge
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| 10 |
+
- multi-step merge
|
| 11 |
+
- not-for-all-audiences
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| 12 |
+
- nsfw
|
| 13 |
+
- rp
|
| 14 |
+
- roleplay
|
| 15 |
+
- role-play
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| 16 |
+
- summarization
|
| 17 |
+
- emotion classification
|
| 18 |
+
base_model:
|
| 19 |
+
- nothingiisreal/L3-8B-Celeste-v1
|
| 20 |
+
- Nitral-AI/Hathor_Tahsin-L3-8B-v0.85
|
| 21 |
+
- Sao10K/L3-8B-Stheno-v3.2
|
| 22 |
+
- ChaoticNeutrals/Poppy_Porpoise-1.0-L3-8B
|
| 23 |
+
- Sao10K/L3-8B-Lunaris-v1
|
| 24 |
+
- turboderp/llama3-turbcat-instruct-8b
|
| 25 |
+
- ChaoticNeutrals/Domain-Fusion-L3-8B
|
| 26 |
+
- migtissera/Llama-3-8B-Synthia-v3.5
|
| 27 |
+
- TheDrummer/Llama-3SOME-8B-v2
|
| 28 |
+
- ChaoticNeutrals/Hathor_RP-v.01-L3-8B
|
| 29 |
+
- TheSkullery/llama-3-cat-8b-instruct-v1
|
| 30 |
+
- FPHam/L3-8B-Everything-COT
|
| 31 |
+
- Ayush-1722/Meta-Llama-3-8B-Instruct-Summarize-v0.2-24K-LoRANET-Merged
|
| 32 |
+
- OEvortex/Emotional-llama-8B
|
| 33 |
+
- lighteternal/Llama3-merge-biomed-8b
|
| 34 |
+
- Casual-Autopsy/Llama3-merge-psychotherapy-8b
|
| 35 |
+
- Sao10K/L3-8B-Tamamo-v1
|
| 36 |
+
- ResplendentAI/Nymph_8B
|
| 37 |
+
- ChaoticNeutrals/T-900-8B
|
| 38 |
+
- Sao10K/L3-8B-Niitama-v1
|
| 39 |
+
- bluuwhale/L3-SthenoMaidBlackroot-8B-V1
|
| 40 |
+
- Hastagaras/Jamet-8B-L3-MK.V-Blackroot
|
| 41 |
+
- Hastagaras/Halu-8B-Llama3-Blackroot
|
| 42 |
+
- crestf411/L3-8B-sunfall-v0.4-stheno-v3.2
|
| 43 |
+
---
|
| 44 |
+
| <img src="https://huggingface.co/Casual-Autopsy/L3-Super-Nova-RP-8B/resolve/main/Card-Assets/NovaKid-Girl.jpeg" width="50%" height="50%" style="display: block; margin: auto;"> |
|
| 45 |
+
|:---:|
|
| 46 |
+
| Image generated by [mayonays_on_toast](https://civitai.com/user/mayonays_on_toast) - [Sauce](https://civitai.com/images/10153472) |
|
| 47 |
+
***
|
| 48 |
+
***
|
| 49 |
+
***
|
| 50 |
+
# L3-Super-Nova-RP-8B
|
| 51 |
+
|
| 52 |
+
This is a role-playing model designed with the goal of good creativity and intelligence to improve advance role-playing experiences. The aim of L3-Super-Nova-RP-8B is to be good at Chain-of-Thoughts, summarizing information, and recognizing emotions. It also includes data about the human body and mind in an attempt to enhance understanding and interaction within role-playing scenarios.
|
| 53 |
+
|
| 54 |
+
The model was developed using various methods in multiple merging steps. To boost creativity, it used techniques to strengthen and adjust its output which was paried with the newly released merge method. All merge calculations were done in float32 format and then converted to the usual bfloat16 during merging.
|
| 55 |
+
|
| 56 |
+
***
|
| 57 |
+
***
|
| 58 |
+
## Presets
|
| 59 |
+
|
| 60 |
+
***
|
| 61 |
+
### Text Gen
|
| 62 |
+
The current good starting preset for this model. **Subject to change.**
|
| 63 |
+
**Settings by yours truly**
|
| 64 |
+
```yaml
|
| 65 |
+
Top K: 40
|
| 66 |
+
Min P: 0.075
|
| 67 |
+
Repetition Penalty: 1.01
|
| 68 |
+
# Don't make this higher, DRY handles the bulk of Squashing Repetition.
|
| 69 |
+
# This is just to lightly nudge the bot to move the plot forward
|
| 70 |
+
Rep Pen Range: 2048 # Don't make this higher either.
|
| 71 |
+
Presence Penalty: 0.03 # Minor encouragement to use synonyms. Don't make this higher maybe?
|
| 72 |
+
Smoothing Factor: 0.3
|
| 73 |
+
|
| 74 |
+
DRY Repetition Penalty:
|
| 75 |
+
Multiplier: 0.8
|
| 76 |
+
Base: 1.75
|
| 77 |
+
Allowed Length: 2
|
| 78 |
+
Penalty Range: 4096
|
| 79 |
+
|
| 80 |
+
Dynamic Temperature:
|
| 81 |
+
Min Temp: 0.5
|
| 82 |
+
Max Temp: 1.25
|
| 83 |
+
Exponent: 0.85
|
| 84 |
+
```
|
| 85 |
+
|
| 86 |
+
***
|
| 87 |
+
### Context/Instruct
|
| 88 |
+
[Virt-io's SillyTavern Presets](https://huggingface.co/Virt-io/SillyTavern-Presets) work really well with this.
|
| 89 |
+
|
| 90 |
+
***
|
| 91 |
+
***
|
| 92 |
+
## Usage Info
|
| 93 |
+
|
| 94 |
+
Some of the **INT** models were chosen with some of SillyTavern's features in mind, such as emotion based sprites, dynamic music, and pretty much any feature, extension, or STscript that uses sumarization. With that said, it's recommended to use SillyTavern as your front-end.
|
| 95 |
+
|
| 96 |
+
While not required, I'd recommend building the story string prompt with Lorebooks rather than using the Advance Formatting menu. The only thing you really need in the Story String prompt within Advance Formatting is the system prompt. Doing it this way tends to keep the character more consistent as the RP goes on as all character card info is locked to a certain depth rather than getting further and further away within the context.
|
| 97 |
+
|
| 98 |
+
***
|
| 99 |
+
***
|
| 100 |
+
## Quants
|
| 101 |
+
|
| 102 |
+
GGUF:
|
| 103 |
+
- [Static GGUFs](https://huggingface.co/mradermacher/L3-Super-Nova-RP-8B-GGUF) by mradermacher
|
| 104 |
+
|
| 105 |
+
Exl2:
|
| 106 |
+
- [8.0bpw-h8 Exl2](https://huggingface.co/Slvcxc/L3-Super-Nova-RP-8B-8.0bpw-h8-exl2) by Slvcxc
|
| 107 |
+
|
| 108 |
+
***
|
| 109 |
+
***
|
| 110 |
+
## Merge Info
|
| 111 |
+
|
| 112 |
+
The merge methods used were **Ties**, **Dare Ties**, **Breadcrumbs Ties**, **SLERP**, and **DELLA**.
|
| 113 |
+
|
| 114 |
+
The model was finished off with both **Merge Densification**, and **Negative Weighting** techniques to boost creativity.
|
| 115 |
+
|
| 116 |
+
All merging steps had the merge calculations done in **float32** and were output as **bfloat16**.
|
| 117 |
+
|
| 118 |
+
***
|
| 119 |
+
### Models Merged
|
| 120 |
+
|
| 121 |
+
The following models were used to make this merge:
|
| 122 |
+
* [nothingiisreal/L3-8B-Celeste-v1](https://huggingface.co/nothingiisreal/L3-8B-Celeste-v1)
|
| 123 |
+
* [Nitral-AI/Hathor_Tahsin-L3-8B-v0.85](https://huggingface.co/Nitral-AI/Hathor_Tahsin-L3-8B-v0.85)
|
| 124 |
+
* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2)
|
| 125 |
+
* [ChaoticNeutrals/Poppy_Porpoise-1.0-L3-8B](https://huggingface.co/ChaoticNeutrals/Poppy_Porpoise-1.0-L3-8B)
|
| 126 |
+
* [Sao10K/L3-8B-Lunaris-v1](https://huggingface.co/Sao10K/L3-8B-Lunaris-v1)
|
| 127 |
+
* [turboderp/llama3-turbcat-instruct-8b](https://huggingface.co/turboderp/llama3-turbcat-instruct-8b)
|
| 128 |
+
* [ChaoticNeutrals/Domain-Fusion-L3-8B](https://huggingface.co/ChaoticNeutrals/Domain-Fusion-L3-8B)
|
| 129 |
+
* [migtissera/Llama-3-8B-Synthia-v3.5](https://huggingface.co/migtissera/Llama-3-8B-Synthia-v3.5)
|
| 130 |
+
* [TheDrummer/Llama-3SOME-8B-v2](https://huggingface.co/TheDrummer/Llama-3SOME-8B-v2)
|
| 131 |
+
* [ChaoticNeutrals/Hathor_RP-v.01-L3-8B](https://huggingface.co/ChaoticNeutrals/Hathor_RP-v.01-L3-8B)
|
| 132 |
+
* [TheSkullery/llama-3-cat-8b-instruct-v1](https://huggingface.co/TheSkullery/llama-3-cat-8b-instruct-v1)
|
| 133 |
+
* [FPHam/L3-8B-Everything-COT](https://huggingface.co/FPHam/L3-8B-Everything-COT)
|
| 134 |
+
* [Ayush-1722/Meta-Llama-3-8B-Instruct-Summarize-v0.2-24K-LoRANET-Merged](https://huggingface.co/Ayush-1722/Meta-Llama-3-8B-Instruct-Summarize-v0.2-24K-LoRANET-Merged)
|
| 135 |
+
* [OEvortex/Emotional-llama-8B](https://huggingface.co/OEvortex/Emotional-llama-8B)
|
| 136 |
+
* [lighteternal/Llama3-merge-biomed-8b](https://huggingface.co/lighteternal/Llama3-merge-biomed-8b)
|
| 137 |
+
* [Casual-Autopsy/Llama3-merge-psychotherapy-8b](https://huggingface.co/Casual-Autopsy/Llama3-merge-psychotherapy-8b)
|
| 138 |
+
* [Sao10K/L3-8B-Tamamo-v1](https://huggingface.co/Sao10K/L3-8B-Tamamo-v1)
|
| 139 |
+
* [ResplendentAI/Nymph_8B](https://huggingface.co/ResplendentAI/Nymph_8B)
|
| 140 |
+
* [ChaoticNeutrals/T-900-8B](https://huggingface.co/ChaoticNeutrals/T-900-8B)
|
| 141 |
+
* [Sao10K/L3-8B-Niitama-v1](https://huggingface.co/Sao10K/L3-8B-Niitama-v1)
|
| 142 |
+
* [bluuwhale/L3-SthenoMaidBlackroot-8B-V1](https://huggingface.co/bluuwhale/L3-SthenoMaidBlackroot-8B-V1)
|
| 143 |
+
* [Hastagaras/Jamet-8B-L3-MK.V-Blackroot](https://huggingface.co/Hastagaras/Jamet-8B-L3-MK.V-Blackroot)
|
| 144 |
+
* [Hastagaras/Halu-8B-Llama3-Blackroot](https://huggingface.co/Hastagaras/Halu-8B-Llama3-Blackroot)
|
| 145 |
+
* [crestf411/L3-8B-sunfall-v0.4-stheno-v3.2](https://huggingface.co/crestf411/L3-8B-sunfall-v0.4-stheno-v3.2)
|
| 146 |
+
|
| 147 |
+
***
|
| 148 |
+
***
|
| 149 |
+
## Evaluation Results
|
| 150 |
+
|
| 151 |
+
***
|
| 152 |
+
### [Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
|
| 153 |
+
|
| 154 |
+
**Explaination for AI RP newbies:** IFEval is the most important evaluation for RP AIs as it determines how well it can follow OOC, Lorebooks, and most importantly character cards.
|
| 155 |
+
The rest don't matter. At least not nearly as much as IFEval.
|
| 156 |
+
|
| 157 |
+
|Metric | Value|
|
| 158 |
+
|:------------------|------:|
|
| 159 |
+
|Avg. |N/A|
|
| 160 |
+
|IFEval (0-Shot) |N/A|
|
| 161 |
+
|BBH (3-Shot) |N/A|
|
| 162 |
+
|MATH Lvl 5 (4-Shot)|N/A|
|
| 163 |
+
|GPQA (0-shot) |N/A|
|
| 164 |
+
|MuSR (0-shot) |N/A|
|
| 165 |
+
|MMLU-PRO (5-shot) |N/A|
|
| 166 |
+
|
| 167 |
+
***
|
| 168 |
+
### [UGI Leaderboard](https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard)
|
| 169 |
+
|
| 170 |
+
Information about the metrics can be found at the bottom of the [UGI Leaderboard](https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard) in the respective tabs.
|
| 171 |
+
|
| 172 |
+
|Metric(UGI-Leaderboard) | Value | Value | Metric(Writing Style)|
|
| 173 |
+
|:------------------------|:-----:|:-----:|----------------------:|
|
| 174 |
+
|UGI(Avg.) |N/A|N/A|RegV1 |
|
| 175 |
+
|W/10 |N/A|N/A|RegV2 |
|
| 176 |
+
|Unruly |N/A|N/A|MyScore |
|
| 177 |
+
|Internet |N/A|N/A|ASSS |
|
| 178 |
+
|Stats |N/A|N/A|SMOG |
|
| 179 |
+
|Writing |N/A|N/A|Yule |
|
| 180 |
+
|PolContro |N/A| | |
|
| 181 |
+
|
| 182 |
+
***
|
| 183 |
+
***
|
| 184 |
+
## Secret Sauce
|
| 185 |
+
|
| 186 |
+
The following YAML configs were used to make this merge.
|
| 187 |
+
|
| 188 |
+
***
|
| 189 |
+
### Super-Nova-CRE_pt.1
|
| 190 |
+
|
| 191 |
+
```yaml
|
| 192 |
+
models:
|
| 193 |
+
- model: nothingiisreal/L3-8B-Celeste-v1
|
| 194 |
+
- model: Nitral-AI/Hathor_Tahsin-L3-8B-v0.85
|
| 195 |
+
parameters:
|
| 196 |
+
density: [0.35, 0.45, 0.5, 0.55, 0.65, 0.55, 0.5, 0.45, 0.35]
|
| 197 |
+
weight: [0.495, 0.165, 0.165, 0.495, 0.495, 0.165, 0.165, 0.495]
|
| 198 |
+
- model: Sao10K/L3-8B-Stheno-v3.2
|
| 199 |
+
parameters:
|
| 200 |
+
density: [0.65, 0.55, 0.5, 0.45, 0.35, 0.45, 0.5, 0.55, 0.65]
|
| 201 |
+
weight: [0.165, 0.495, 0.495, 0.165, 0.165, 0.495, 0.495, 0.165]
|
| 202 |
+
merge_method: dare_ties
|
| 203 |
+
base_model: nothingiisreal/L3-8B-Celeste-v1
|
| 204 |
+
parameters:
|
| 205 |
+
normalize: false
|
| 206 |
+
int8_mask: true
|
| 207 |
+
dtype: float32
|
| 208 |
+
out_dtype: bfloat16
|
| 209 |
+
```
|
| 210 |
+
|
| 211 |
+
***
|
| 212 |
+
### Super-Nova-CRE_pt.2
|
| 213 |
+
|
| 214 |
+
```yaml
|
| 215 |
+
models:
|
| 216 |
+
- model: nothingiisreal/L3-8B-Celeste-v1
|
| 217 |
+
- model: ChaoticNeutrals/Poppy_Porpoise-1.0-L3-8B
|
| 218 |
+
parameters:
|
| 219 |
+
density: [0.35, 0.45, 0.5, 0.55, 0.65, 0.55, 0.5, 0.45, 0.35]
|
| 220 |
+
weight: [0.165, 0.495, 0.495, 0.165, 0.165, 0.495, 0.495, 0.165]
|
| 221 |
+
- model: Sao10K/L3-8B-Lunaris-v1
|
| 222 |
+
parameters:
|
| 223 |
+
density: [0.65, 0.55, 0.5, 0.45, 0.35, 0.45, 0.5, 0.55, 0.65]
|
| 224 |
+
weight: [0.495, 0.165, 0.165, 0.495, 0.495, 0.165, 0.165, 0.495]
|
| 225 |
+
merge_method: dare_ties
|
| 226 |
+
base_model: nothingiisreal/L3-8B-Celeste-v1
|
| 227 |
+
parameters:
|
| 228 |
+
normalize: false
|
| 229 |
+
int8_mask: true
|
| 230 |
+
dtype: float32
|
| 231 |
+
out_dtype: bfloat16
|
| 232 |
+
```
|
| 233 |
+
|
| 234 |
+
***
|
| 235 |
+
### Super-Nova-UNC_pt.1
|
| 236 |
+
|
| 237 |
+
```yaml
|
| 238 |
+
models:
|
| 239 |
+
- model: turboderp/llama3-turbcat-instruct-8b
|
| 240 |
+
- model: ChaoticNeutrals/Domain-Fusion-L3-8B
|
| 241 |
+
parameters:
|
| 242 |
+
density: 0.5
|
| 243 |
+
weight: [0.495, 0.165, 0.165, 0.495, 0.495, 0.165, 0.165, 0.495]
|
| 244 |
+
- model: migtissera/Llama-3-8B-Synthia-v3.5
|
| 245 |
+
parameters:
|
| 246 |
+
density: 0.5
|
| 247 |
+
weight: [0.165, 0.495, 0.495, 0.165, 0.165, 0.495, 0.495, 0.165]
|
| 248 |
+
merge_method: dare_ties
|
| 249 |
+
base_model: turboderp/llama3-turbcat-instruct-8b
|
| 250 |
+
parameters:
|
| 251 |
+
normalize: false
|
| 252 |
+
int8_mask: true
|
| 253 |
+
dtype: float32
|
| 254 |
+
out_dtype: bfloat16
|
| 255 |
+
```
|
| 256 |
+
|
| 257 |
+
***
|
| 258 |
+
### Super-Nova-UNC_pt.2
|
| 259 |
+
|
| 260 |
+
```yaml
|
| 261 |
+
models:
|
| 262 |
+
- model: turboderp/llama3-turbcat-instruct-8b
|
| 263 |
+
- model: TheDrummer/Llama-3SOME-8B-v2
|
| 264 |
+
parameters:
|
| 265 |
+
density: 0.5
|
| 266 |
+
weight: [0.165, 0.495, 0.495, 0.165, 0.165, 0.495, 0.495, 0.165]
|
| 267 |
+
- model: ChaoticNeutrals/Hathor_RP-v.01-L3-8B
|
| 268 |
+
parameters:
|
| 269 |
+
density: 0.5
|
| 270 |
+
weight: [0.495, 0.165, 0.165, 0.495, 0.495, 0.165, 0.165, 0.495]
|
| 271 |
+
merge_method: dare_ties
|
| 272 |
+
base_model: turboderp/llama3-turbcat-instruct-8b
|
| 273 |
+
parameters:
|
| 274 |
+
normalize: false
|
| 275 |
+
int8_mask: true
|
| 276 |
+
dtype: float32
|
| 277 |
+
out_dtype: bfloat16
|
| 278 |
+
```
|
| 279 |
+
|
| 280 |
+
***
|
| 281 |
+
### Super-Nova-INT_pt.1
|
| 282 |
+
|
| 283 |
+
```yaml
|
| 284 |
+
models:
|
| 285 |
+
- model: TheSkullery/llama-3-cat-8b-instruct-v1
|
| 286 |
+
- model: FPHam/L3-8B-Everything-COT
|
| 287 |
+
parameters:
|
| 288 |
+
density: 0.5
|
| 289 |
+
weight: [0.139, 0.139, 0.208, 0.139, 0.208]
|
| 290 |
+
- model: Ayush-1722/Meta-Llama-3-8B-Instruct-Summarize-v0.2-24K-LoRANET-Merged
|
| 291 |
+
parameters:
|
| 292 |
+
density: 0.5
|
| 293 |
+
weight: [0.139, 0.208, 0.139, 0.208, 0.139]
|
| 294 |
+
- model: OEvortex/Emotional-llama-8B
|
| 295 |
+
parameters:
|
| 296 |
+
density: 0.5
|
| 297 |
+
weight: [0.208, 0.139, 0.208, 0.139, 0.139]
|
| 298 |
+
- model: lighteternal/Llama3-merge-biomed-8b
|
| 299 |
+
parameters:
|
| 300 |
+
density: 0.5
|
| 301 |
+
weight: [0.208, 0.139, 0.139, 0.139, 0.208]
|
| 302 |
+
- model: Casual-Autopsy/Llama3-merge-psychotherapy-8b
|
| 303 |
+
parameters:
|
| 304 |
+
density: 0.5
|
| 305 |
+
weight: [0.139, 0.208, 0.139, 0.208, 0.139]
|
| 306 |
+
merge_method: ties
|
| 307 |
+
base_model: TheSkullery/llama-3-cat-8b-instruct-v1
|
| 308 |
+
parameters:
|
| 309 |
+
normalize: false
|
| 310 |
+
int8_mask: true
|
| 311 |
+
dtype: float32
|
| 312 |
+
out_dtype: bfloat16
|
| 313 |
+
```
|
| 314 |
+
|
| 315 |
+
***
|
| 316 |
+
### Super-Nova-INT_pt.2
|
| 317 |
+
|
| 318 |
+
```yaml
|
| 319 |
+
models:
|
| 320 |
+
- model: TheSkullery/llama-3-cat-8b-instruct-v1
|
| 321 |
+
- model: FPHam/L3-8B-Everything-COT
|
| 322 |
+
parameters:
|
| 323 |
+
density: 0.9
|
| 324 |
+
gamma: 0.01
|
| 325 |
+
weight: [0.139, 0.208, 0.208, 0.139, 0.139]
|
| 326 |
+
- model: Ayush-1722/Meta-Llama-3-8B-Instruct-Summarize-v0.2-24K-LoRANET-Merged
|
| 327 |
+
parameters:
|
| 328 |
+
density: 0.9
|
| 329 |
+
gamma: 0.01
|
| 330 |
+
weight: [0.208, 0.139, 0.139, 0.139, 0.208]
|
| 331 |
+
- model: OEvortex/Emotional-llama-8B
|
| 332 |
+
parameters:
|
| 333 |
+
density: 0.9
|
| 334 |
+
gamma: 0.01
|
| 335 |
+
weight: [0.139, 0.139, 0.208, 0.208, 0.139]
|
| 336 |
+
- model: lighteternal/Llama3-merge-biomed-8b
|
| 337 |
+
parameters:
|
| 338 |
+
density: 0.9
|
| 339 |
+
gamma: 0.01
|
| 340 |
+
weight: [0.139, 0.208, 0.139, 0.208, 0.139]
|
| 341 |
+
- model: Casual-Autopsy/Llama3-merge-psychotherapy-8b
|
| 342 |
+
parameters:
|
| 343 |
+
density: 0.9
|
| 344 |
+
gamma: 0.01
|
| 345 |
+
weight: [0.208, 0.139, 0.139, 0.139, 0.208]
|
| 346 |
+
merge_method: breadcrumbs_ties
|
| 347 |
+
base_model: TheSkullery/llama-3-cat-8b-instruct-v1
|
| 348 |
+
parameters:
|
| 349 |
+
normalize: false
|
| 350 |
+
int8_mask: true
|
| 351 |
+
dtype: float32
|
| 352 |
+
out_dtype: bfloat16
|
| 353 |
+
```
|
| 354 |
+
|
| 355 |
+
***
|
| 356 |
+
### Super-Nova-CRE
|
| 357 |
+
|
| 358 |
+
```yaml
|
| 359 |
+
|
| 360 |
+
models:
|
| 361 |
+
- model: Casual-Autopsy/Super-Nova-CRE_pt.1
|
| 362 |
+
- model: Casual-Autopsy/Super-Nova-CRE_pt.2
|
| 363 |
+
merge_method: slerp
|
| 364 |
+
base_model: Casual-Autopsy/Super-Nova-CRE_pt.1
|
| 365 |
+
parameters:
|
| 366 |
+
t:
|
| 367 |
+
- filter: self_attn
|
| 368 |
+
value: [0.5, 0.3, 0.7, 0.5, 0.7, 0.3, 0.5, 0.3, 0.7, 0.5, 0.7, 0.3, 0.5]
|
| 369 |
+
- filter: mlp
|
| 370 |
+
value: [0.5, 0.7, 0.3, 0.5, 0.3, 0.7, 0.5, 0.7, 0.3, 0.5, 0.3, 0.7, 0.5]
|
| 371 |
+
- value: 0.5
|
| 372 |
+
embed_slerp: true
|
| 373 |
+
dtype: float32
|
| 374 |
+
out_dtype: bfloat16
|
| 375 |
+
```
|
| 376 |
+
|
| 377 |
+
***
|
| 378 |
+
### Super-Nova-UNC
|
| 379 |
+
|
| 380 |
+
```yaml
|
| 381 |
+
models:
|
| 382 |
+
- model: Casual-Autopsy/Super-Nova-UNC_pt.1
|
| 383 |
+
- model: Casual-Autopsy/Super-Nova-UNC_pt.2
|
| 384 |
+
merge_method: slerp
|
| 385 |
+
base_model: Casual-Autopsy/Super-Nova-UNC_pt.1
|
| 386 |
+
parameters:
|
| 387 |
+
t:
|
| 388 |
+
- value: [0.5, 0.7, 0.3, 0.5, 0.3, 0.7, 0.5, 0.7, 0.3, 0.5, 0.3, 0.7, 0.5]
|
| 389 |
+
embed_slerp: true
|
| 390 |
+
dtype: float32
|
| 391 |
+
out_dtype: bfloat16
|
| 392 |
+
```
|
| 393 |
+
|
| 394 |
+
***
|
| 395 |
+
### Super-Nova-INT
|
| 396 |
+
|
| 397 |
+
```yaml
|
| 398 |
+
models:
|
| 399 |
+
- model: Casual-Autopsy/Super-Nova-INT_pt.1
|
| 400 |
+
- model: Casual-Autopsy/Super-Nova-INT_pt.2
|
| 401 |
+
merge_method: slerp
|
| 402 |
+
base_model: Casual-Autopsy/Super-Nova-INT_pt.1
|
| 403 |
+
parameters:
|
| 404 |
+
t:
|
| 405 |
+
- value: 0.5
|
| 406 |
+
embed_slerp: true
|
| 407 |
+
dtype: float32
|
| 408 |
+
out_dtype: bfloat16
|
| 409 |
+
```
|
| 410 |
+
|
| 411 |
+
***
|
| 412 |
+
### Super-Nova-RP_stp.1
|
| 413 |
+
|
| 414 |
+
```yaml
|
| 415 |
+
|
| 416 |
+
models:
|
| 417 |
+
- model: Casual-Autopsy/Super-Nova-CRE
|
| 418 |
+
- model: asual-Autopsy/Super-Nova-UNC
|
| 419 |
+
merge_method: slerp
|
| 420 |
+
base_model: Casual-Autopsy/Super-Nova-CRE
|
| 421 |
+
parameters:
|
| 422 |
+
t:
|
| 423 |
+
- value: [0.7, 0.5, 0.3, 0.25, 0.2, 0.25, 0.3, 0.5, 0.7]
|
| 424 |
+
embed_slerp: true
|
| 425 |
+
dtype: float32
|
| 426 |
+
out_dtype: bfloat16
|
| 427 |
+
|
| 428 |
+
```
|
| 429 |
+
|
| 430 |
+
***
|
| 431 |
+
### Super-Nova-RP_stp.2
|
| 432 |
+
|
| 433 |
+
```yaml
|
| 434 |
+
models:
|
| 435 |
+
- model: Casual-Autopsy/Super-Nova-RP_stp.1
|
| 436 |
+
- model: Casual-Autopsy/Super-Nova-INT
|
| 437 |
+
merge_method: slerp
|
| 438 |
+
base_model: Casual-Autopsy/Super-Nova-RP_stp.1
|
| 439 |
+
parameters:
|
| 440 |
+
t:
|
| 441 |
+
- value: [0.1, 0.15, 0.2, 0.4, 0.6, 0.4, 0.2, 0.15, 0.1]
|
| 442 |
+
embed_slerp: true
|
| 443 |
+
dtype: float32
|
| 444 |
+
out_dtype: bfloat16
|
| 445 |
+
```
|
| 446 |
+
|
| 447 |
+
***
|
| 448 |
+
### Super-Nova-RP_pt.1
|
| 449 |
+
|
| 450 |
+
```yaml
|
| 451 |
+
models:
|
| 452 |
+
- model: Casual-Autopsy/Super-Nova-RP_stp.2
|
| 453 |
+
- model: Sao10K/L3-8B-Tamamo-v1
|
| 454 |
+
parameters:
|
| 455 |
+
density: [0.4, 0.6, 0.5, 0.6, 0.4]
|
| 456 |
+
epsilon: [0.15, 0.15, 0.25, 0.15, 0.15]
|
| 457 |
+
lambda: 0.85
|
| 458 |
+
weight: [-0.01523, 0.01768, -0.01384, 0.01835, -0.01247]
|
| 459 |
+
- model: ResplendentAI/Nymph_8B
|
| 460 |
+
parameters:
|
| 461 |
+
density: [0.65, 0.35, 0.5, 0.35, 0.65]
|
| 462 |
+
epsilon: [0.1, 0.1, 0.25, 0.1, 0.1]
|
| 463 |
+
lambda: 0.85
|
| 464 |
+
weight: [0.01823, -0.01647, 0.01422, -0.01975, 0.01128]
|
| 465 |
+
- model: ChaoticNeutrals/T-900-8B
|
| 466 |
+
parameters:
|
| 467 |
+
density: [0.35, 0.65, 0.5, 0.65, 0.35]
|
| 468 |
+
epsilon: [0.1, 0.1, 0.25, 0.1, 0.1]
|
| 469 |
+
lambda: 0.85
|
| 470 |
+
weight: [-0.01891, 0.01554, -0.01325, 0.01791, -0.01458]
|
| 471 |
+
- model: Sao10K/L3-8B-Niitama-v1
|
| 472 |
+
parameters:
|
| 473 |
+
density: [0.6, 0.4, 0.5, 0.4, 0.6]
|
| 474 |
+
epsilon: [0.15, 0.15, 0.25, 0.15, 0.15]
|
| 475 |
+
lambda: 0.85
|
| 476 |
+
weight: [0.01768, -0.01675, 0.01285, -0.01696, 0.01421]
|
| 477 |
+
merge_method: della
|
| 478 |
+
base_model: Casual-Autopsy/Super-Nova-RP_stp.2
|
| 479 |
+
parameters:
|
| 480 |
+
normalize: false
|
| 481 |
+
int8_mask: true
|
| 482 |
+
dtype: float32
|
| 483 |
+
out_dtype: bfloat16
|
| 484 |
+
```
|
| 485 |
+
|
| 486 |
+
***
|
| 487 |
+
### Super-Nova-RP_pt.2
|
| 488 |
+
|
| 489 |
+
```yaml
|
| 490 |
+
models:
|
| 491 |
+
- model: Casual-Autopsy/Super-Nova-RP_stp.2
|
| 492 |
+
- model: bluuwhale/L3-SthenoMaidBlackroot-8B-V1
|
| 493 |
+
parameters:
|
| 494 |
+
density: [0.4, 0.6, 0.5, 0.6, 0.4]
|
| 495 |
+
epsilon: [0.15, 0.15, 0.25, 0.15, 0.15]
|
| 496 |
+
lambda: 0.85
|
| 497 |
+
weight: [-0.01935, 0.01785, -0.01512, 0.01809, -0.01371]
|
| 498 |
+
- model: Hastagaras/Jamet-8B-L3-MK.V-Blackroot
|
| 499 |
+
parameters:
|
| 500 |
+
density: [0.65, 0.35, 0.5, 0.35, 0.65]
|
| 501 |
+
epsilon: [0.1, 0.1, 0.25, 0.1, 0.1]
|
| 502 |
+
lambda: 0.85
|
| 503 |
+
weight: [0.01847, -0.01468, 0.01503, -0.01822, 0.01459]
|
| 504 |
+
- model: Hastagaras/Halu-8B-Llama3-Blackroot
|
| 505 |
+
parameters:
|
| 506 |
+
density: [0.35, 0.65, 0.5, 0.65, 0.35]
|
| 507 |
+
epsilon: [0.1, 0.1, 0.25, 0.1, 0.1]
|
| 508 |
+
lambda: 0.85
|
| 509 |
+
weight: [-0.01578, 0.01821, -0.01753, 0.01677, -0.01442]
|
| 510 |
+
- model: crestf411/L3-8B-sunfall-v0.4-stheno-v3.2
|
| 511 |
+
parameters:
|
| 512 |
+
density: [0.6, 0.5, 0.5, 0.5, 0.6]
|
| 513 |
+
epsilon: [0.15, 0.15, 0.25, 0.15, 0.15]
|
| 514 |
+
lambda: 0.85
|
| 515 |
+
weight: [0.01667, -0.01740, 0.01560, -0.01564, 0.01315]
|
| 516 |
+
merge_method: della
|
| 517 |
+
base_model: Casual-Autopsy/Super-Nova-RP_stp.2
|
| 518 |
+
parameters:
|
| 519 |
+
normalize: false
|
| 520 |
+
int8_mask: true
|
| 521 |
+
dtype: float32
|
| 522 |
+
out_dtype: bfloat16
|
| 523 |
+
```
|
| 524 |
+
|
| 525 |
+
***
|
| 526 |
+
### L3-Super-Nova-RP-8B
|
| 527 |
+
|
| 528 |
+
```yaml
|
| 529 |
+
models:
|
| 530 |
+
- model: Casual-Autopsy/Super-Nova-RP_pt.1
|
| 531 |
+
- model: Casual-Autopsy/Super-Nova-RP_pt.2
|
| 532 |
+
merge_method: slerp
|
| 533 |
+
base_model: Casual-Autopsy/Super-Nova-RP_pt.1
|
| 534 |
+
parameters:
|
| 535 |
+
t:
|
| 536 |
+
- value: 0.5
|
| 537 |
+
dtype: float32
|
| 538 |
+
out_dtype: bfloat16
|
| 539 |
+
```
|
config.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "/kaggle/input/super-nova-rp_pt.3/transformers/hf/1",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LlamaForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_bias": false,
|
| 7 |
+
"attention_dropout": 0.0,
|
| 8 |
+
"bos_token_id": 128000,
|
| 9 |
+
"eos_token_id": 128009,
|
| 10 |
+
"hidden_act": "silu",
|
| 11 |
+
"hidden_size": 4096,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 14336,
|
| 14 |
+
"max_position_embeddings": 8192,
|
| 15 |
+
"mlp_bias": false,
|
| 16 |
+
"model_type": "llama",
|
| 17 |
+
"num_attention_heads": 32,
|
| 18 |
+
"num_hidden_layers": 32,
|
| 19 |
+
"num_key_value_heads": 8,
|
| 20 |
+
"pretraining_tp": 1,
|
| 21 |
+
"rms_norm_eps": 1e-05,
|
| 22 |
+
"rope_scaling": null,
|
| 23 |
+
"rope_theta": 500000.0,
|
| 24 |
+
"tie_word_embeddings": false,
|
| 25 |
+
"torch_dtype": "bfloat16",
|
| 26 |
+
"transformers_version": "4.42.3",
|
| 27 |
+
"use_cache": true,
|
| 28 |
+
"vocab_size": 128256,
|
| 29 |
+
"quantization_config": {
|
| 30 |
+
"quant_method": "exl2",
|
| 31 |
+
"version": "0.1.8",
|
| 32 |
+
"bits": 4.3295,
|
| 33 |
+
"head_bits": 6,
|
| 34 |
+
"calibration": {
|
| 35 |
+
"rows": 115,
|
| 36 |
+
"length": 2048,
|
| 37 |
+
"dataset": "(default)"
|
| 38 |
+
}
|
| 39 |
+
}
|
| 40 |
+
}
|
mergekit_config.yml
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
|
| 2 |
+
models:
|
| 3 |
+
- model: /kaggle/input/super-nova-rp_pt.3/transformers/hf/1
|
| 4 |
+
- model: /kaggle/input/super-nova-rp_pt.4/transformers/hf/1
|
| 5 |
+
merge_method: slerp
|
| 6 |
+
base_model: /kaggle/input/super-nova-rp_pt.3/transformers/hf/1
|
| 7 |
+
parameters:
|
| 8 |
+
t:
|
| 9 |
+
- value: 0.5
|
| 10 |
+
dtype: float32
|
| 11 |
+
out_dtype: bfloat16
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"metadata": {"mergekit_version": "0.0.4.4", "total_size": 16060522496}, "weight_map": {"lm_head.weight": "model-00001-of-00004.safetensors", "model.embed_tokens.weight": "model-00001-of-00004.safetensors", "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors", "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors", "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors", "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors", "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors", "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors", "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors", "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors", "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors", "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors", "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors", "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors", "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors", "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors", "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors", "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors", "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors", "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors", "model.layers.10.input_layernorm.weight": "model-00001-of-00004.safetensors", "model.layers.10.mlp.down_proj.weight": "model-00001-of-00004.safetensors", "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00004.safetensors", "model.layers.10.mlp.up_proj.weight": "model-00001-of-00004.safetensors", "model.layers.10.post_attention_layernorm.weight": 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|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"128000": {
|
| 4 |
+
"content": "<|begin_of_text|>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"128001": {
|
| 12 |
+
"content": "<|end_of_text|>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"128002": {
|
| 20 |
+
"content": "<|reserved_special_token_0|>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"128003": {
|
| 28 |
+
"content": "<|reserved_special_token_1|>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"128004": {
|
| 36 |
+
"content": "<|reserved_special_token_2|>",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
},
|
| 43 |
+
"128005": {
|
| 44 |
+
"content": "<|reserved_special_token_3|>",
|
| 45 |
+
"lstrip": false,
|
| 46 |
+
"normalized": false,
|
| 47 |
+
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": true
|
| 50 |
+
},
|
| 51 |
+
"128006": {
|
| 52 |
+
"content": "<|start_header_id|>",
|
| 53 |
+
"lstrip": false,
|
| 54 |
+
"normalized": false,
|
| 55 |
+
"rstrip": false,
|
| 56 |
+
"single_word": false,
|
| 57 |
+
"special": true
|
| 58 |
+
},
|
| 59 |
+
"128007": {
|
| 60 |
+
"content": "<|end_header_id|>",
|
| 61 |
+
"lstrip": false,
|
| 62 |
+
"normalized": false,
|
| 63 |
+
"rstrip": false,
|
| 64 |
+
"single_word": false,
|
| 65 |
+
"special": true
|
| 66 |
+
},
|
| 67 |
+
"128008": {
|
| 68 |
+
"content": "<|reserved_special_token_4|>",
|
| 69 |
+
"lstrip": false,
|
| 70 |
+
"normalized": false,
|
| 71 |
+
"rstrip": false,
|
| 72 |
+
"single_word": false,
|
| 73 |
+
"special": true
|
| 74 |
+
},
|
| 75 |
+
"128009": {
|
| 76 |
+
"content": "<|eot_id|>",
|
| 77 |
+
"lstrip": false,
|
| 78 |
+
"normalized": false,
|
| 79 |
+
"rstrip": false,
|
| 80 |
+
"single_word": false,
|
| 81 |
+
"special": true
|
| 82 |
+
},
|
| 83 |
+
"128010": {
|
| 84 |
+
"content": "<|reserved_special_token_5|>",
|
| 85 |
+
"lstrip": false,
|
| 86 |
+
"normalized": false,
|
| 87 |
+
"rstrip": false,
|
| 88 |
+
"single_word": false,
|
| 89 |
+
"special": true
|
| 90 |
+
},
|
| 91 |
+
"128011": {
|
| 92 |
+
"content": "<|reserved_special_token_6|>",
|
| 93 |
+
"lstrip": false,
|
| 94 |
+
"normalized": false,
|
| 95 |
+
"rstrip": false,
|
| 96 |
+
"single_word": false,
|
| 97 |
+
"special": true
|
| 98 |
+
},
|
| 99 |
+
"128012": {
|
| 100 |
+
"content": "<|reserved_special_token_7|>",
|
| 101 |
+
"lstrip": false,
|
| 102 |
+
"normalized": false,
|
| 103 |
+
"rstrip": false,
|
| 104 |
+
"single_word": false,
|
| 105 |
+
"special": true
|
| 106 |
+
},
|
| 107 |
+
"128013": {
|
| 108 |
+
"content": "<|reserved_special_token_8|>",
|
| 109 |
+
"lstrip": false,
|
| 110 |
+
"normalized": false,
|
| 111 |
+
"rstrip": false,
|
| 112 |
+
"single_word": false,
|
| 113 |
+
"special": true
|
| 114 |
+
},
|
| 115 |
+
"128014": {
|
| 116 |
+
"content": "<|reserved_special_token_9|>",
|
| 117 |
+
"lstrip": false,
|
| 118 |
+
"normalized": false,
|
| 119 |
+
"rstrip": false,
|
| 120 |
+
"single_word": false,
|
| 121 |
+
"special": true
|
| 122 |
+
},
|
| 123 |
+
"128015": {
|
| 124 |
+
"content": "<|reserved_special_token_10|>",
|
| 125 |
+
"lstrip": false,
|
| 126 |
+
"normalized": false,
|
| 127 |
+
"rstrip": false,
|
| 128 |
+
"single_word": false,
|
| 129 |
+
"special": true
|
| 130 |
+
},
|
| 131 |
+
"128016": {
|
| 132 |
+
"content": "<|reserved_special_token_11|>",
|
| 133 |
+
"lstrip": false,
|
| 134 |
+
"normalized": false,
|
| 135 |
+
"rstrip": false,
|
| 136 |
+
"single_word": false,
|
| 137 |
+
"special": true
|
| 138 |
+
},
|
| 139 |
+
"128017": {
|
| 140 |
+
"content": "<|reserved_special_token_12|>",
|
| 141 |
+
"lstrip": false,
|
| 142 |
+
"normalized": false,
|
| 143 |
+
"rstrip": false,
|
| 144 |
+
"single_word": false,
|
| 145 |
+
"special": true
|
| 146 |
+
},
|
| 147 |
+
"128018": {
|
| 148 |
+
"content": "<|reserved_special_token_13|>",
|
| 149 |
+
"lstrip": false,
|
| 150 |
+
"normalized": false,
|
| 151 |
+
"rstrip": false,
|
| 152 |
+
"single_word": false,
|
| 153 |
+
"special": true
|
| 154 |
+
},
|
| 155 |
+
"128019": {
|
| 156 |
+
"content": "<|reserved_special_token_14|>",
|
| 157 |
+
"lstrip": false,
|
| 158 |
+
"normalized": false,
|
| 159 |
+
"rstrip": false,
|
| 160 |
+
"single_word": false,
|
| 161 |
+
"special": true
|
| 162 |
+
},
|
| 163 |
+
"128020": {
|
| 164 |
+
"content": "<|reserved_special_token_15|>",
|
| 165 |
+
"lstrip": false,
|
| 166 |
+
"normalized": false,
|
| 167 |
+
"rstrip": false,
|
| 168 |
+
"single_word": false,
|
| 169 |
+
"special": true
|
| 170 |
+
},
|
| 171 |
+
"128021": {
|
| 172 |
+
"content": "<|reserved_special_token_16|>",
|
| 173 |
+
"lstrip": false,
|
| 174 |
+
"normalized": false,
|
| 175 |
+
"rstrip": false,
|
| 176 |
+
"single_word": false,
|
| 177 |
+
"special": true
|
| 178 |
+
},
|
| 179 |
+
"128022": {
|
| 180 |
+
"content": "<|reserved_special_token_17|>",
|
| 181 |
+
"lstrip": false,
|
| 182 |
+
"normalized": false,
|
| 183 |
+
"rstrip": false,
|
| 184 |
+
"single_word": false,
|
| 185 |
+
"special": true
|
| 186 |
+
},
|
| 187 |
+
"128023": {
|
| 188 |
+
"content": "<|reserved_special_token_18|>",
|
| 189 |
+
"lstrip": false,
|
| 190 |
+
"normalized": false,
|
| 191 |
+
"rstrip": false,
|
| 192 |
+
"single_word": false,
|
| 193 |
+
"special": true
|
| 194 |
+
},
|
| 195 |
+
"128024": {
|
| 196 |
+
"content": "<|reserved_special_token_19|>",
|
| 197 |
+
"lstrip": false,
|
| 198 |
+
"normalized": false,
|
| 199 |
+
"rstrip": false,
|
| 200 |
+
"single_word": false,
|
| 201 |
+
"special": true
|
| 202 |
+
},
|
| 203 |
+
"128025": {
|
| 204 |
+
"content": "<|reserved_special_token_20|>",
|
| 205 |
+
"lstrip": false,
|
| 206 |
+
"normalized": false,
|
| 207 |
+
"rstrip": false,
|
| 208 |
+
"single_word": false,
|
| 209 |
+
"special": true
|
| 210 |
+
},
|
| 211 |
+
"128026": {
|
| 212 |
+
"content": "<|reserved_special_token_21|>",
|
| 213 |
+
"lstrip": false,
|
| 214 |
+
"normalized": false,
|
| 215 |
+
"rstrip": false,
|
| 216 |
+
"single_word": false,
|
| 217 |
+
"special": true
|
| 218 |
+
},
|
| 219 |
+
"128027": {
|
| 220 |
+
"content": "<|reserved_special_token_22|>",
|
| 221 |
+
"lstrip": false,
|
| 222 |
+
"normalized": false,
|
| 223 |
+
"rstrip": false,
|
| 224 |
+
"single_word": false,
|
| 225 |
+
"special": true
|
| 226 |
+
},
|
| 227 |
+
"128028": {
|
| 228 |
+
"content": "<|reserved_special_token_23|>",
|
| 229 |
+
"lstrip": false,
|
| 230 |
+
"normalized": false,
|
| 231 |
+
"rstrip": false,
|
| 232 |
+
"single_word": false,
|
| 233 |
+
"special": true
|
| 234 |
+
},
|
| 235 |
+
"128029": {
|
| 236 |
+
"content": "<|reserved_special_token_24|>",
|
| 237 |
+
"lstrip": false,
|
| 238 |
+
"normalized": false,
|
| 239 |
+
"rstrip": false,
|
| 240 |
+
"single_word": false,
|
| 241 |
+
"special": true
|
| 242 |
+
},
|
| 243 |
+
"128030": {
|
| 244 |
+
"content": "<|reserved_special_token_25|>",
|
| 245 |
+
"lstrip": false,
|
| 246 |
+
"normalized": false,
|
| 247 |
+
"rstrip": false,
|
| 248 |
+
"single_word": false,
|
| 249 |
+
"special": true
|
| 250 |
+
},
|
| 251 |
+
"128031": {
|
| 252 |
+
"content": "<|reserved_special_token_26|>",
|
| 253 |
+
"lstrip": false,
|
| 254 |
+
"normalized": false,
|
| 255 |
+
"rstrip": false,
|
| 256 |
+
"single_word": false,
|
| 257 |
+
"special": true
|
| 258 |
+
},
|
| 259 |
+
"128032": {
|
| 260 |
+
"content": "<|reserved_special_token_27|>",
|
| 261 |
+
"lstrip": false,
|
| 262 |
+
"normalized": false,
|
| 263 |
+
"rstrip": false,
|
| 264 |
+
"single_word": false,
|
| 265 |
+
"special": true
|
| 266 |
+
},
|
| 267 |
+
"128033": {
|
| 268 |
+
"content": "<|reserved_special_token_28|>",
|
| 269 |
+
"lstrip": false,
|
| 270 |
+
"normalized": false,
|
| 271 |
+
"rstrip": false,
|
| 272 |
+
"single_word": false,
|
| 273 |
+
"special": true
|
| 274 |
+
},
|
| 275 |
+
"128034": {
|
| 276 |
+
"content": "<|reserved_special_token_29|>",
|
| 277 |
+
"lstrip": false,
|
| 278 |
+
"normalized": false,
|
| 279 |
+
"rstrip": false,
|
| 280 |
+
"single_word": false,
|
| 281 |
+
"special": true
|
| 282 |
+
},
|
| 283 |
+
"128035": {
|
| 284 |
+
"content": "<|reserved_special_token_30|>",
|
| 285 |
+
"lstrip": false,
|
| 286 |
+
"normalized": false,
|
| 287 |
+
"rstrip": false,
|
| 288 |
+
"single_word": false,
|
| 289 |
+
"special": true
|
| 290 |
+
},
|
| 291 |
+
"128036": {
|
| 292 |
+
"content": "<|reserved_special_token_31|>",
|
| 293 |
+
"lstrip": false,
|
| 294 |
+
"normalized": false,
|
| 295 |
+
"rstrip": false,
|
| 296 |
+
"single_word": false,
|
| 297 |
+
"special": true
|
| 298 |
+
},
|
| 299 |
+
"128037": {
|
| 300 |
+
"content": "<|reserved_special_token_32|>",
|
| 301 |
+
"lstrip": false,
|
| 302 |
+
"normalized": false,
|
| 303 |
+
"rstrip": false,
|
| 304 |
+
"single_word": false,
|
| 305 |
+
"special": true
|
| 306 |
+
},
|
| 307 |
+
"128038": {
|
| 308 |
+
"content": "<|reserved_special_token_33|>",
|
| 309 |
+
"lstrip": false,
|
| 310 |
+
"normalized": false,
|
| 311 |
+
"rstrip": false,
|
| 312 |
+
"single_word": false,
|
| 313 |
+
"special": true
|
| 314 |
+
},
|
| 315 |
+
"128039": {
|
| 316 |
+
"content": "<|reserved_special_token_34|>",
|
| 317 |
+
"lstrip": false,
|
| 318 |
+
"normalized": false,
|
| 319 |
+
"rstrip": false,
|
| 320 |
+
"single_word": false,
|
| 321 |
+
"special": true
|
| 322 |
+
},
|
| 323 |
+
"128040": {
|
| 324 |
+
"content": "<|reserved_special_token_35|>",
|
| 325 |
+
"lstrip": false,
|
| 326 |
+
"normalized": false,
|
| 327 |
+
"rstrip": false,
|
| 328 |
+
"single_word": false,
|
| 329 |
+
"special": true
|
| 330 |
+
},
|
| 331 |
+
"128041": {
|
| 332 |
+
"content": "<|reserved_special_token_36|>",
|
| 333 |
+
"lstrip": false,
|
| 334 |
+
"normalized": false,
|
| 335 |
+
"rstrip": false,
|
| 336 |
+
"single_word": false,
|
| 337 |
+
"special": true
|
| 338 |
+
},
|
| 339 |
+
"128042": {
|
| 340 |
+
"content": "<|reserved_special_token_37|>",
|
| 341 |
+
"lstrip": false,
|
| 342 |
+
"normalized": false,
|
| 343 |
+
"rstrip": false,
|
| 344 |
+
"single_word": false,
|
| 345 |
+
"special": true
|
| 346 |
+
},
|
| 347 |
+
"128043": {
|
| 348 |
+
"content": "<|reserved_special_token_38|>",
|
| 349 |
+
"lstrip": false,
|
| 350 |
+
"normalized": false,
|
| 351 |
+
"rstrip": false,
|
| 352 |
+
"single_word": false,
|
| 353 |
+
"special": true
|
| 354 |
+
},
|
| 355 |
+
"128044": {
|
| 356 |
+
"content": "<|reserved_special_token_39|>",
|
| 357 |
+
"lstrip": false,
|
| 358 |
+
"normalized": false,
|
| 359 |
+
"rstrip": false,
|
| 360 |
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| 1597 |
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| 1604 |
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| 1610 |
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| 1612 |
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| 1613 |
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| 1620 |
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| 1621 |
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| 1828 |
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| 1830 |
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| 1849 |
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|
| 1850 |
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| 1851 |
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|
| 1852 |
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| 1853 |
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|
| 1858 |
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| 1859 |
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|
| 1860 |
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|
| 1861 |
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| 1862 |
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|
| 1866 |
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|
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|
| 1868 |
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|
| 1869 |
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| 1870 |
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| 1876 |
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|
| 1882 |
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|
| 1884 |
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|
| 1885 |
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| 1886 |
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|
| 1887 |
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| 1888 |
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| 1889 |
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|
| 1890 |
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|
| 1892 |
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|
| 1893 |
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| 1895 |
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| 1897 |
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|
| 1898 |
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|
| 1900 |
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|
| 1901 |
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| 1902 |
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|
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|
| 1908 |
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| 1909 |
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| 1910 |
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| 1914 |
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| 1915 |
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|
| 1916 |
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| 1917 |
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| 1920 |
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| 1921 |
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|
| 1922 |
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| 1923 |
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|
| 1924 |
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| 1925 |
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| 1926 |
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| 1927 |
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| 1928 |
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| 1929 |
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|
| 1930 |
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|
| 1931 |
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|
| 1932 |
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|
| 1933 |
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| 1934 |
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|
| 1935 |
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| 1936 |
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| 1937 |
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|
| 1938 |
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|
| 1939 |
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|
| 1940 |
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|
| 1941 |
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| 1942 |
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| 1943 |
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| 1944 |
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| 1945 |
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|
| 1946 |
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|
| 1947 |
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|
| 1948 |
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|
| 1949 |
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|
| 1950 |
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|
| 1951 |
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| 1952 |
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| 1953 |
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|
| 1954 |
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|
| 1955 |
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|
| 1956 |
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|
| 1957 |
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| 1958 |
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| 1959 |
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| 1960 |
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| 1961 |
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|
| 1962 |
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|
| 1963 |
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|
| 1964 |
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|
| 1965 |
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| 1966 |
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|
| 1967 |
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| 1968 |
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|
| 1969 |
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|
| 1970 |
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|
| 1971 |
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|
| 1972 |
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|
| 1973 |
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| 1974 |
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| 1975 |
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| 1977 |
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|
| 1978 |
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|
| 1979 |
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|
| 1980 |
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|
| 1981 |
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| 1982 |
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|
| 1983 |
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| 1984 |
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| 1985 |
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|
| 1986 |
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|
| 1987 |
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|
| 1988 |
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"content": "<|reserved_special_token_243|>",
|
| 1989 |
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|
| 1990 |
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|
| 1991 |
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| 1992 |
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|
| 1993 |
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|
| 1994 |
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|
| 1995 |
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|
| 1996 |
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|
| 1997 |
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| 1998 |
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| 1999 |
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| 2000 |
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| 2001 |
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| 2002 |
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| 2003 |
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| 2004 |
+
"content": "<|reserved_special_token_245|>",
|
| 2005 |
+
"lstrip": false,
|
| 2006 |
+
"normalized": false,
|
| 2007 |
+
"rstrip": false,
|
| 2008 |
+
"single_word": false,
|
| 2009 |
+
"special": true
|
| 2010 |
+
},
|
| 2011 |
+
"128251": {
|
| 2012 |
+
"content": "<|reserved_special_token_246|>",
|
| 2013 |
+
"lstrip": false,
|
| 2014 |
+
"normalized": false,
|
| 2015 |
+
"rstrip": false,
|
| 2016 |
+
"single_word": false,
|
| 2017 |
+
"special": true
|
| 2018 |
+
},
|
| 2019 |
+
"128252": {
|
| 2020 |
+
"content": "<|reserved_special_token_247|>",
|
| 2021 |
+
"lstrip": false,
|
| 2022 |
+
"normalized": false,
|
| 2023 |
+
"rstrip": false,
|
| 2024 |
+
"single_word": false,
|
| 2025 |
+
"special": true
|
| 2026 |
+
},
|
| 2027 |
+
"128253": {
|
| 2028 |
+
"content": "<|reserved_special_token_248|>",
|
| 2029 |
+
"lstrip": false,
|
| 2030 |
+
"normalized": false,
|
| 2031 |
+
"rstrip": false,
|
| 2032 |
+
"single_word": false,
|
| 2033 |
+
"special": true
|
| 2034 |
+
},
|
| 2035 |
+
"128254": {
|
| 2036 |
+
"content": "<|reserved_special_token_249|>",
|
| 2037 |
+
"lstrip": false,
|
| 2038 |
+
"normalized": false,
|
| 2039 |
+
"rstrip": false,
|
| 2040 |
+
"single_word": false,
|
| 2041 |
+
"special": true
|
| 2042 |
+
},
|
| 2043 |
+
"128255": {
|
| 2044 |
+
"content": "<|reserved_special_token_250|>",
|
| 2045 |
+
"lstrip": false,
|
| 2046 |
+
"normalized": false,
|
| 2047 |
+
"rstrip": false,
|
| 2048 |
+
"single_word": false,
|
| 2049 |
+
"special": true
|
| 2050 |
+
}
|
| 2051 |
+
},
|
| 2052 |
+
"bos_token": "<|begin_of_text|>",
|
| 2053 |
+
"chat_template": "{{ '<|begin_of_text|>' }}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|start_header_id|>system<|end_header_id|>\n\n' + system_message + '<|eot_id|>' }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|start_header_id|>user<|end_header_id|>\n\n' + content + '<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|eot_id|>' }}{% endif %}{% endfor %}",
|
| 2054 |
+
"clean_up_tokenization_spaces": true,
|
| 2055 |
+
"eos_token": "<|eot_id|>",
|
| 2056 |
+
"model_input_names": [
|
| 2057 |
+
"input_ids",
|
| 2058 |
+
"attention_mask"
|
| 2059 |
+
],
|
| 2060 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 2061 |
+
"pad_token": "<|eot_id|>",
|
| 2062 |
+
"padding_side": "left",
|
| 2063 |
+
"split_special_tokens": false,
|
| 2064 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
| 2065 |
+
}
|