Justbackup SicariusSicariiStuff commited on
Commit
26a4380
·
0 Parent(s):

Duplicate from SicariusSicariiStuff/Phi-lthy4

Browse files

Co-authored-by: Sica Rius <SicariusSicariiStuff@users.noreply.huggingface.co>

.gitattributes ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ *.7z filter=lfs diff=lfs merge=lfs -text
2
+ *.arrow filter=lfs diff=lfs merge=lfs -text
3
+ *.bin filter=lfs diff=lfs merge=lfs -text
4
+ *.bz2 filter=lfs diff=lfs merge=lfs -text
5
+ *.ckpt filter=lfs diff=lfs merge=lfs -text
6
+ *.ftz filter=lfs diff=lfs merge=lfs -text
7
+ *.gz filter=lfs diff=lfs merge=lfs -text
8
+ *.h5 filter=lfs diff=lfs merge=lfs -text
9
+ *.joblib filter=lfs diff=lfs merge=lfs -text
10
+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
11
+ *.mlmodel filter=lfs diff=lfs merge=lfs -text
12
+ *.model filter=lfs diff=lfs merge=lfs -text
13
+ *.msgpack filter=lfs diff=lfs merge=lfs -text
14
+ *.npy filter=lfs diff=lfs merge=lfs -text
15
+ *.npz filter=lfs diff=lfs merge=lfs -text
16
+ *.onnx filter=lfs diff=lfs merge=lfs -text
17
+ *.ot filter=lfs diff=lfs merge=lfs -text
18
+ *.parquet filter=lfs diff=lfs merge=lfs -text
19
+ *.pb filter=lfs diff=lfs merge=lfs -text
20
+ *.pickle filter=lfs diff=lfs merge=lfs -text
21
+ *.pkl filter=lfs diff=lfs merge=lfs -text
22
+ *.pt filter=lfs diff=lfs merge=lfs -text
23
+ *.pth filter=lfs diff=lfs merge=lfs -text
24
+ *.rar filter=lfs diff=lfs merge=lfs -text
25
+ *.safetensors filter=lfs diff=lfs merge=lfs -text
26
+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
27
+ *.tar.* filter=lfs diff=lfs merge=lfs -text
28
+ *.tar filter=lfs diff=lfs merge=lfs -text
29
+ *.tflite filter=lfs diff=lfs merge=lfs -text
30
+ *.tgz filter=lfs diff=lfs merge=lfs -text
31
+ *.wasm filter=lfs diff=lfs merge=lfs -text
32
+ *.xz filter=lfs diff=lfs merge=lfs -text
33
+ *.zip filter=lfs diff=lfs merge=lfs -text
34
+ *.zst filter=lfs diff=lfs merge=lfs -text
35
+ *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ Images/Phi-Lthy4.png filter=lfs diff=lfs merge=lfs -text
37
+ Images/UGI.png filter=lfs diff=lfs merge=lfs -text
38
+ Character_Cards/Nina_Nakamura.png filter=lfs diff=lfs merge=lfs -text
Images/Phi-Lthy4.png ADDED

Git LFS Details

  • SHA256: 45ed2d9789ac85071e80cfd5d9d8cb550982759f2e2aa59bc6622e8479ee86d8
  • Pointer size: 132 Bytes
  • Size of remote file: 1.18 MB
Images/UGI.png ADDED

Git LFS Details

  • SHA256: 44d9a8ca321b22421ca96635711e3c5026a23ab76d61951fd03995424f90fcbd
  • Pointer size: 131 Bytes
  • Size of remote file: 117 kB
README.md ADDED
@@ -0,0 +1,380 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ language:
4
+ - en
5
+ base_model:
6
+ - microsoft/phi-4
7
+ widget:
8
+ - text: "Phi-lthy4"
9
+ output:
10
+ url: https://huggingface.co/SicariusSicariiStuff/Phi-lthy4/resolve/main/Images/Phi-Lthy4.png
11
+ ---
12
+
13
+ <div align="center">
14
+ <b style="font-size: 40px;">Phi-lthy4</b>
15
+
16
+
17
+ </div>
18
+
19
+
20
+ <img src="https://huggingface.co/SicariusSicariiStuff/Phi-lthy4/resolve/main/Images/Phi-Lthy4.png" alt="Phi-lthy4" style="width: 70%; min-width: 500px; display: block; margin: auto;">
21
+
22
+
23
+ ---
24
+
25
+ <style>
26
+ .hf-links, .hf-tldr{
27
+ display:flex;justify-content:center;align-items:center;flex-wrap:wrap;
28
+ gap:14px;margin:16px 0;
29
+ }
30
+ .hf-links a, .hf-tldr a{
31
+ display:flex;flex-direction:column;align-items:center;justify-content:center;
32
+ text-align:center;text-decoration:none;font-weight:700;line-height:1.15;
33
+ padding:10px 16px;border-radius:14px;border:2px solid currentColor;
34
+ transition:transform .15s ease,box-shadow .15s ease,background-color .15s ease,color .15s ease;
35
+ }
36
+
37
+ .hf-tldr a{
38
+ font-size:48px;color:purple;min-width:100%;
39
+ }
40
+ .hf-tldr a:hover{
41
+ transform:translateY(-2px);
42
+ background:rgba(128,0,128,.1);
43
+ box-shadow:0 8px 22px rgba(128,0,128,.45);
44
+ color:#fff;
45
+ }
46
+
47
+
48
+ .hf-links a{
49
+ font-size:20px;min-width:240px;max-width:280px;
50
+ }
51
+ .hf-links a .top{font-size:16px;opacity:.9;}
52
+ .hf-links a .bottom{font-size:20px;}
53
+
54
+ .hf-links a.red{color:#E31515;}
55
+ .hf-links a.yellow{color:#FFC800;}
56
+ .hf-links a.green{color:#64FF00;}
57
+
58
+ .hf-links a:hover{
59
+ transform:translateY(-1px);
60
+ background:rgba(255,255,255,0.04);
61
+ box-shadow:0 6px 18px rgba(0,0,0,.15), inset 0 0 0 9999px rgba(255,255,255,.02);
62
+ }
63
+ .hf-links a.red:hover{
64
+ background:rgba(227,21,21,.12);
65
+ box-shadow:0 8px 20px rgba(227,21,21,.35);
66
+ color:#fff;
67
+ }
68
+ .hf-links a.yellow:hover{
69
+ background:rgba(255,200,0,.15);
70
+ box-shadow:0 8px 20px rgba(255,200,0,.35);
71
+ color:#111;
72
+ }
73
+ .hf-links a.green:hover{
74
+ background:rgba(100,255,0,.14);
75
+ box-shadow:0 8px 20px rgba(100,255,0,.35);
76
+ color:#093;
77
+ }
78
+
79
+ /* mobile stacking */
80
+ @media (max-width:520px){
81
+ .hf-links a{min-width:100%;max-width:100%;}
82
+ .hf-tldr a{font-size:36px;}
83
+ }
84
+ </style>
85
+
86
+ <div class="hf-tldr">
87
+ <a href="https://huggingface.co/SicariusSicariiStuff/Phi-lthy4#tldr">
88
+ Click here for TL;DR
89
+ </a>
90
+ </div>
91
+
92
+ ---
93
+
94
+ <div class="hf-links">
95
+ <a class="red" href="https://huggingface.co/SicariusSicariiStuff/Phi-lthy4#available-quantizations">
96
+ <span class="top">Click here</span>
97
+ <span class="bottom">for quantizations</span>
98
+ </a>
99
+
100
+ <a class="yellow" href="https://huggingface.co/SicariusSicariiStuff/Phi-lthy4#recommended-settings-for-assistant-mode">
101
+ <span class="top">Click here</span>
102
+ <span class="bottom">for recommended settings</span>
103
+ </a>
104
+
105
+ <a class="green" href="https://ko-fi.com/sicarius">
106
+ <span class="top">Click here</span>
107
+ <span class="bottom">to buy me a coffee</span>
108
+ </a>
109
+ </div>
110
+
111
+ ---
112
+
113
+ # Update
114
+
115
+ **Phi-lthy4** has been consistently described as **exceptionally unique** by all who have tested it, **almost devoid of SLOP**, and it is now widely regarded as the **most unique roleplay model available**. It underwent an intensive continued pretraining (CPT) phase, extensive supervised fine-tuning (SFT) on high-quality organic datasets, and leveraged advanced techniques including model merging, parameter pruning, and upscaling.
116
+
117
+ Interestingly, this distinctiveness was validated in a recent paper: [*Gradient-Based Model Fingerprinting for LLM Similarity Detection and Family Classification*](https://arxiv.org/html/2506.01631v1). Among a wide array of models tested, this one stood out as **unclassifiable** by traditional architecture-based fingerprinting—highlighting the extent of its architectural deviation. This was the result of **deep structural modification**: not just fine-tuning, but full-layer re-architecture, aggressive parameter pruning, and fusion with unrelated models.
118
+
119
+ ---
120
+
121
+ Some things just start on a **whim**. This is the story of **Phi-Lthy4**, pretty much:
122
+
123
+ \> yo sicarius can you make phi-4 smarter?\
124
+ nope. but i can still make it better.\
125
+ \> wdym??\
126
+ well, i can yeet a couple of layers out of its math brain, and teach it about the wonders of love and intimate relations. maybe. idk if its worth it.\
127
+ \> lol its all synth data in the pretrain. many before you tried.
128
+
129
+ > fine. ill do it.
130
+
131
+ ## But... why?
132
+
133
+ The trend it seems, is to make AI models more **assistant-oriented**, use as much **synthetic data** as possible, be more **'safe'**, and be more **benchmaxxed** (hi qwen). Sure, this makes great assistants, but **sanitized** data (like in the **Phi** model series case) butchers **creativity**. Not to mention that the previous **Phi 3.5** wouldn't even tell you how to **kill a process** and so on and so forth...
134
+
135
+ This little side project took about **two weeks** of on-and-off fine-tuning. After about **1B tokens** or so, I lost track of how much I trained it. The idea? A **proof of concept** of sorts to see if sheer will (and 2xA6000) will be enough to shape a model to **any** parameter size, behavior or form.
136
+
137
+ So I used mergekit to perform a crude **LLM brain surgery**— and yeeted some **useless** neurons that dealt with math. How do I know that these exact neurons dealt with math? Because **ALL** of Phi's neurons dealt with math. Success was guaranteed.
138
+
139
+ Is this the best Phi-4 **11.9B** RP model in the **world**? It's quite possible, simply because tuning **Phi-4** for RP is a completely stupid idea, both due to its pretraining data, "limited" context size of **16k**, and the model's MIT license.
140
+
141
+ Surprisingly, it's **quite good at RP**, turns out it didn't need those 8 layers after all. It could probably still solve a basic math question, but I would strongly recommend using a calculator for such tasks.
142
+ Why do we want LLMs to do basic math anyway?
143
+
144
+ Oh, regarding **censorship**... Let's just say it's... **Phi-lthy**.
145
+
146
+ ---
147
+
148
+ ### TL;DR
149
+ - **The BEST Phi-4 Roleplay** finetune in the **world** (Not that much of an achievement here, Phi roleplay finetunes can probably be counted on a **single hand**).
150
+ - **Compact size & fully healed from the brain surgery** Only **11.9B** parameters. **Phi-4** wasn't that hard to run even at **14B**, now with even fewer brain cells, your new phone could probably run it easily. (**SD8Gen3** and above recommended).
151
+ - Strong **Roleplay & Creative writing** abilities. This really surprised me. **Actually good**.
152
+ - Writes and roleplays **quite uniquely**, probably because of lack of RP\writing slop in the **pretrain**. Who would have thought?
153
+ - **Smart** assistant with **low refusals** - It kept some of the smarts, and our little Phi-Lthy here will be quite eager to answer your naughty questions.
154
+ - **Quite good** at following the **character card**. Finally, it puts its math brain to some productive tasks. Gooner technology is becoming more popular by the day.
155
+
156
+ ### Important: Make sure to use the correct settings!
157
+ [Assistant settings](https://huggingface.co/SicariusSicariiStuff/Phi-lthy4#recommended-settings-for-assistant-mode)
158
+
159
+ [Roleplay settings](https://huggingface.co/SicariusSicariiStuff/Phi-lthy4#recommended-settings-for-roleplay-mode)
160
+
161
+
162
+ ---
163
+
164
+ ## Available quantizations:
165
+
166
+ - Original: [FP16](https://huggingface.co/SicariusSicariiStuff/Phi-lthy4)
167
+ - GGUF & iMatrix: [GGUF](https://huggingface.co/SicariusSicariiStuff/Phi-lthy4_GGUF) | [iMatrix](https://huggingface.co/SicariusSicariiStuff/Phi-lthy4_iMatrix) | [High-Attention](https://huggingface.co/SicariusSicariiStuff/Phi-lthy4_GGUF_HA) | [iMatrix-High-Attention](https://huggingface.co/SicariusSicariiStuff/Phi-lthy4_HA_NL)
168
+ - EXL2: [3.0 bpw](https://huggingface.co/SicariusSicariiStuff/Phi-lthy4-3.0bpw) | [3.5 bpw](https://huggingface.co/SicariusSicariiStuff/Phi-lthy4-3.5bpw) | [4.0 bpw](https://huggingface.co/SicariusSicariiStuff/Phi-lthy4-4.0bpw) | [5.0 bpw](https://huggingface.co/SicariusSicariiStuff/Phi-lthy4-5.0bpw) | [6.0 bpw](https://huggingface.co/SicariusSicariiStuff/Phi-lthy4-6.0bpw) | [7.0 bpw](https://huggingface.co/SicariusSicariiStuff/Phi-lthy4-7.0bpw) | [8.0 bpw](https://huggingface.co/SicariusSicariiStuff/Phi-lthy4-8.0bpw)
169
+ - GPTQ: [4-Bit-g32](https://huggingface.co/SicariusSicariiStuff/Phi-lthy4_GPTQ)
170
+ - Specialized: [FP8](https://huggingface.co/SicariusSicariiStuff/Phi-lthy4_FP8)
171
+ - Mobile (ARM): [Q4_0](https://huggingface.co/SicariusSicariiStuff/Phi-lthy4_ARM) | [Q4_0_High-Attention](https://huggingface.co/SicariusSicariiStuff/Phi-lthy4_ARM_HA)
172
+ ---
173
+
174
+ ## Model Details
175
+
176
+ - Intended use: **Role-Play**, **Creative Writing**, **General Tasks**.
177
+
178
+ - Censorship level: <b>Medium - Low</b>
179
+
180
+ - **5.5 / 10** (10 completely uncensored)
181
+
182
+
183
+ ## UGI score:
184
+
185
+
186
+
187
+
188
+ <img src="https://huggingface.co/SicariusSicariiStuff/Phi-lthy4/resolve/main/Images/UGI.png" style="width: 100%; min-width: 600px; display: block; margin: auto;">
189
+
190
+
191
+ ---
192
+
193
+
194
+ ## Recommended settings for assistant mode
195
+ <details>
196
+ <summary>Full generation settings: <b>Debug Deterministic</b>.</summary>
197
+
198
+ <img src="https://huggingface.co/SicariusSicariiStuff/Dusk_Rainbow/resolve/main/Presets/Debug-deterministic.png" alt="Debug Deterministic_Settings" style="width: 100%; min-width: 600px; display: block; margin: auto;">
199
+
200
+ </details>
201
+
202
+ <details>
203
+ <summary>Full generation settings: <b>min_p</b>.</summary>
204
+
205
+ <img src="https://huggingface.co/SicariusSicariiStuff/Dusk_Rainbow/resolve/main/Presets/min_p.png" alt="min_P_Settings" style="width: 100%; min-width: 600px; display: block; margin: auto;">
206
+
207
+ </details>
208
+
209
+ ---
210
+
211
+ ## Recommended settings for Roleplay mode
212
+
213
+ <details>
214
+ <summary><b>Roleplay settings:</b>.</summary>
215
+ A good repetition_penalty range is <b>between 1.12 - 1.15</b>, feel free to experiment.
216
+
217
+ With these settings, each output message should be neatly displayed in <b>1 - 3</b> paragraphs, <b>1 - 2</b> is the most common. A single paragraph will be output as a response to a simple message ("What was your name again?").
218
+
219
+ <b>min_P</b> for RP works too but is more likely to put everything under one large paragraph, instead of a neatly formatted short one. Feel free to switch in between.
220
+
221
+ <b>(Open the image in a new window to better see the full details)</b>
222
+ <img src="https://huggingface.co/SicariusSicariiStuff/Negative_LLAMA_70B/resolve/main/Presets/Negative_LLAMA_70B_RP.png" alt="Roleplay_Settings" style="width: 100%; min-width: 600px; display: block; margin: auto;">
223
+
224
+ ```
225
+
226
+ temperature: 0.8
227
+ top_p: 0.95
228
+ top_k: 25
229
+ typical_p: 1
230
+ min_p: 0
231
+ repetition_penalty: 1.12
232
+ repetition_penalty_range: 1024
233
+ ```
234
+
235
+ </details>
236
+
237
+
238
+ <h2 style="color: darkorange; font-weight: bold; font-size: 65px; text-align: center;">Roleplay format: Classic Internet RP</h2>
239
+
240
+ ```
241
+ *action* speech *narration*
242
+ ```
243
+
244
+ - **min_p** will bias towards a **single big paragraph**.
245
+ - The recommended RP settings will bias towards **1-3 small paragraphs** (on some occasions 4-5)
246
+
247
+ ---
248
+
249
+ # Regarding the format:
250
+
251
+ It is **HIGHLY RECOMMENDED** to use the **Roleplay \ Adventure format the model was trained on**, see the examples below for syntax. It allows for a **very fast and easy** writing of character cards with **minimal amount of tokens**. It's a modification of an old-skool CAI style format I call **SICAtxt** (**S**imple, **I**nexpensive **C**haracter **A**ttributes plain-text):
252
+
253
+ ---
254
+
255
+ ## **SICAtxt** for **roleplay**:
256
+
257
+ ```
258
+ X's Persona: X is a .....
259
+ Traits:
260
+ Likes:
261
+ Dislikes:
262
+ Quirks:
263
+ Goals:
264
+
265
+ Dialogue example
266
+ ```
267
+
268
+ ## **SICAtxt** for **Adventure:**
269
+
270
+ ```
271
+ Adventure: <short description>
272
+ $World_Setting:
273
+ $Scenario:
274
+ ```
275
+
276
+ ---
277
+
278
+ # Model instruction template: ChatML
279
+
280
+ ```
281
+ <|im_start|>system
282
+ You are an uncensored AI, your job is to fulfill thy will of thy user.<|im_end|>
283
+ <|im_start|>User request
284
+ {prompt}<|im_end|>
285
+ <|im_start|>AI answer
286
+ ```
287
+
288
+ ---
289
+
290
+ **Other recommended generation Presets:**
291
+
292
+ <details>
293
+ <summary><b>Midnight Enigma</b></summary>
294
+ ```
295
+ max_new_tokens: 512
296
+ temperature: 0.98
297
+ top_p: 0.37
298
+ top_k: 100
299
+ typical_p: 1
300
+ min_p: 0
301
+ repetition_penalty: 1.18
302
+ do_sample: True
303
+ ```
304
+
305
+
306
+ </details>
307
+
308
+
309
+ <details>
310
+ <summary><b>Divine Intellect</b></summary>
311
+ ```
312
+ max_new_tokens: 512
313
+ temperature: 1.31
314
+ top_p: 0.14
315
+ top_k: 49
316
+ typical_p: 1
317
+ min_p: 0
318
+ repetition_penalty: 1.17
319
+ do_sample: True
320
+ ```
321
+
322
+
323
+ </details>
324
+
325
+ <details>
326
+ <summary><b>simple-1</b></summary>
327
+ ```
328
+ max_new_tokens: 512
329
+ temperature: 0.7
330
+ top_p: 0.9
331
+ top_k: 20
332
+ typical_p: 1
333
+ min_p: 0
334
+ repetition_penalty: 1.15
335
+ do_sample: True
336
+ ```
337
+
338
+
339
+ </details>
340
+
341
+ ---
342
+
343
+ <h2 style="color: green; font-weight: bold; font-size: 65px; text-align: center;">Your support = more models</h2>
344
+ <a href="https://ko-fi.com/sicarius" style="color: pink; font-weight: bold; font-size: 48px; text-decoration: none; display: block; text-align: center;">My Ko-fi page (Click here)</a>
345
+
346
+ ---
347
+
348
+
349
+ ## Citation Information
350
+
351
+ ```
352
+ @llm{Phi-lthy4,
353
+ author = {SicariusSicariiStuff},
354
+ title = {Phi-lthy4},
355
+ year = {2025},
356
+ publisher = {Hugging Face},
357
+ url = {https://huggingface.co/SicariusSicariiStuff/Phi-lthy4}
358
+ }
359
+ ```
360
+
361
+ ---
362
+
363
+ ## Benchmarks
364
+
365
+ | Metric |Value|
366
+ |-------------------|----:|
367
+ |Avg. |30.27|
368
+ |IFEval (0-Shot) |76.79|
369
+ |BBH (3-Shot) |40.15|
370
+ |MATH Lvl 5 (4-Shot)|13.67|
371
+ |GPQA (0-shot) | 4.92|
372
+ |MuSR (0-shot) | 9.04|
373
+ |MMLU-PRO (5-shot) |37.04|
374
+
375
+ ---
376
+
377
+ ## Other stuff
378
+ - [SLOP_Detector](https://github.com/SicariusSicariiStuff/SLOP_Detector) Nuke GPTisms, with SLOP detector.
379
+ - [LLAMA-3_8B_Unaligned](https://huggingface.co/SicariusSicariiStuff/LLAMA-3_8B_Unaligned) The grand project that started it all.
380
+ - [Blog and updates (Archived)](https://huggingface.co/SicariusSicariiStuff/Blog_And_Updates) Some updates, some rambles, sort of a mix between a diary and a blog.
config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "SicariusSicariiStuff/Phi-lthy4",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 100257,
9
+ "eos_token_id": 100265,
10
+ "head_dim": 128,
11
+ "hidden_act": "silu",
12
+ "hidden_size": 5120,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 17920,
15
+ "max_position_embeddings": 16384,
16
+ "mlp_bias": false,
17
+ "model_type": "llama",
18
+ "num_attention_heads": 40,
19
+ "num_hidden_layers": 32,
20
+ "num_key_value_heads": 10,
21
+ "original_max_position_embeddings": 16384,
22
+ "pad_token_id": 100351,
23
+ "pretraining_tp": 1,
24
+ "rms_norm_eps": 1e-05,
25
+ "rope_scaling": null,
26
+ "rope_theta": 250000,
27
+ "tie_word_embeddings": false,
28
+ "torch_dtype": "bfloat16",
29
+ "transformers_version": "4.46.0",
30
+ "use_cache": false,
31
+ "vocab_size": 100352
32
+ }
model-00001-of-00001.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d907bc8cda38cbf697dfe931819cf183eab6507bd5109af28cfdf8849356a5e5
3
+ size 23866289600
model.safetensors.index.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"metadata": {"mergekit_version": "0.0.4.4", "total_size": 23866255360}, "weight_map": {"lm_head.weight": "model-00001-of-00001.safetensors", "model.embed_tokens.weight": "model-00001-of-00001.safetensors", "model.layers.0.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.0.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.0.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.1.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.1.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.1.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.10.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.10.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.10.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.11.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.11.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.11.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.11.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.11.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.12.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.12.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.12.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.12.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.12.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.12.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.12.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.12.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.12.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.13.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.13.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.13.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.13.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.13.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.13.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.13.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.13.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.13.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.14.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.14.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.14.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.14.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.14.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.14.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.14.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.14.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.14.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.15.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.15.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.15.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.15.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.15.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.15.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.15.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.15.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.15.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.16.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.16.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.16.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.16.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.16.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.16.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.16.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.16.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.16.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.17.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.17.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.17.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.17.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.17.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.17.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.17.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.17.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.17.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.18.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.18.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.18.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.18.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.18.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.18.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.18.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.18.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.18.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.19.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.19.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.19.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.19.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.19.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.19.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.19.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.19.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.19.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.2.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.2.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.2.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.20.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.20.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.20.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.20.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.20.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.20.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.20.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.20.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.20.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.21.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.21.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.21.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.21.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.21.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.21.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.21.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.21.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.21.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.22.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.22.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.22.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.22.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.22.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.22.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.22.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.22.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.22.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.23.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.23.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.23.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.23.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.23.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.23.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.23.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.23.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.23.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.24.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.24.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.24.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.24.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.24.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.24.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.24.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.24.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.24.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.25.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.25.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.25.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.25.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.25.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.25.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.25.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.25.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.25.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.26.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.26.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.26.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.26.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.26.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.26.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.26.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.26.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.26.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.27.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.27.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.27.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.27.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.27.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.27.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.27.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.27.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.27.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.28.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.28.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.28.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.28.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.28.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.28.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.28.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.28.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.28.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.29.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.29.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.29.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.29.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.29.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.29.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.29.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.29.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.29.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.3.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.3.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.3.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.30.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.30.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.30.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.30.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.30.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.30.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.30.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.30.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.30.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.31.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.31.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.31.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.31.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.31.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.31.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.31.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.31.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.31.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.4.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.4.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.4.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.5.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.5.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.5.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.6.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.6.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.6.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.7.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.7.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.7.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.8.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.8.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.8.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.9.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.9.mlp.down_proj.weight": "model-00001-of-00001.safetensors", "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00001.safetensors", "model.layers.9.mlp.up_proj.weight": "model-00001-of-00001.safetensors", "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.norm.weight": "model-00001-of-00001.safetensors"}}
special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<|endoftext|>",
4
+ "lstrip": true,
5
+ "normalized": false,
6
+ "rstrip": true,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "<|im_end|>",
11
+ "lstrip": true,
12
+ "normalized": false,
13
+ "rstrip": true,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<|dummy_87|>",
18
+ "lstrip": true,
19
+ "normalized": false,
20
+ "rstrip": true,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "�",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,791 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "5809": {
5
+ "content": "�",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "100256": {
13
+ "content": "<|dummy_0|>",
14
+ "lstrip": true,
15
+ "normalized": false,
16
+ "rstrip": true,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "100257": {
21
+ "content": "<|endoftext|>",
22
+ "lstrip": true,
23
+ "normalized": false,
24
+ "rstrip": true,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "100258": {
29
+ "content": "<|fim_prefix|>",
30
+ "lstrip": true,
31
+ "normalized": false,
32
+ "rstrip": true,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "100259": {
37
+ "content": "<|fim_middle|>",
38
+ "lstrip": true,
39
+ "normalized": false,
40
+ "rstrip": true,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "100260": {
45
+ "content": "<|fim_suffix|>",
46
+ "lstrip": true,
47
+ "normalized": false,
48
+ "rstrip": true,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "100261": {
53
+ "content": "<|dummy_1|>",
54
+ "lstrip": true,
55
+ "normalized": false,
56
+ "rstrip": true,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "100262": {
61
+ "content": "<|dummy_2|>",
62
+ "lstrip": true,
63
+ "normalized": false,
64
+ "rstrip": true,
65
+ "single_word": false,
66
+ "special": true
67
+ },
68
+ "100263": {
69
+ "content": "<|dummy_3|>",
70
+ "lstrip": true,
71
+ "normalized": false,
72
+ "rstrip": true,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "100264": {
77
+ "content": "<|im_start|>",
78
+ "lstrip": true,
79
+ "normalized": false,
80
+ "rstrip": true,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "100265": {
85
+ "content": "<|im_end|>",
86
+ "lstrip": true,
87
+ "normalized": false,
88
+ "rstrip": true,
89
+ "single_word": false,
90
+ "special": true
91
+ },
92
+ "100266": {
93
+ "content": "<|im_sep|>",
94
+ "lstrip": true,
95
+ "normalized": false,
96
+ "rstrip": true,
97
+ "single_word": false,
98
+ "special": true
99
+ },
100
+ "100267": {
101
+ "content": "<|dummy_4|>",
102
+ "lstrip": true,
103
+ "normalized": false,
104
+ "rstrip": true,
105
+ "single_word": false,
106
+ "special": true
107
+ },
108
+ "100268": {
109
+ "content": "<|dummy_5|>",
110
+ "lstrip": true,
111
+ "normalized": false,
112
+ "rstrip": true,
113
+ "single_word": false,
114
+ "special": true
115
+ },
116
+ "100269": {
117
+ "content": "<|dummy_6|>",
118
+ "lstrip": true,
119
+ "normalized": false,
120
+ "rstrip": true,
121
+ "single_word": false,
122
+ "special": true
123
+ },
124
+ "100270": {
125
+ "content": "<|dummy_7|>",
126
+ "lstrip": true,
127
+ "normalized": false,
128
+ "rstrip": true,
129
+ "single_word": false,
130
+ "special": true
131
+ },
132
+ "100271": {
133
+ "content": "<|dummy_8|>",
134
+ "lstrip": true,
135
+ "normalized": false,
136
+ "rstrip": true,
137
+ "single_word": false,
138
+ "special": true
139
+ },
140
+ "100272": {
141
+ "content": "<|dummy_9|>",
142
+ "lstrip": true,
143
+ "normalized": false,
144
+ "rstrip": true,
145
+ "single_word": false,
146
+ "special": true
147
+ },
148
+ "100273": {
149
+ "content": "<|dummy_10|>",
150
+ "lstrip": true,
151
+ "normalized": false,
152
+ "rstrip": true,
153
+ "single_word": false,
154
+ "special": true
155
+ },
156
+ "100274": {
157
+ "content": "<|dummy_11|>",
158
+ "lstrip": true,
159
+ "normalized": false,
160
+ "rstrip": true,
161
+ "single_word": false,
162
+ "special": true
163
+ },
164
+ "100275": {
165
+ "content": "<|dummy_12|>",
166
+ "lstrip": true,
167
+ "normalized": false,
168
+ "rstrip": true,
169
+ "single_word": false,
170
+ "special": true
171
+ },
172
+ "100276": {
173
+ "content": "<|endofprompt|>",
174
+ "lstrip": true,
175
+ "normalized": false,
176
+ "rstrip": true,
177
+ "single_word": false,
178
+ "special": true
179
+ },
180
+ "100277": {
181
+ "content": "<|dummy_13|>",
182
+ "lstrip": true,
183
+ "normalized": false,
184
+ "rstrip": true,
185
+ "single_word": false,
186
+ "special": true
187
+ },
188
+ "100278": {
189
+ "content": "<|dummy_14|>",
190
+ "lstrip": true,
191
+ "normalized": false,
192
+ "rstrip": true,
193
+ "single_word": false,
194
+ "special": true
195
+ },
196
+ "100279": {
197
+ "content": "<|dummy_15|>",
198
+ "lstrip": true,
199
+ "normalized": false,
200
+ "rstrip": true,
201
+ "single_word": false,
202
+ "special": true
203
+ },
204
+ "100280": {
205
+ "content": "<|dummy_16|>",
206
+ "lstrip": true,
207
+ "normalized": false,
208
+ "rstrip": true,
209
+ "single_word": false,
210
+ "special": true
211
+ },
212
+ "100281": {
213
+ "content": "<|dummy_17|>",
214
+ "lstrip": true,
215
+ "normalized": false,
216
+ "rstrip": true,
217
+ "single_word": false,
218
+ "special": true
219
+ },
220
+ "100282": {
221
+ "content": "<|dummy_18|>",
222
+ "lstrip": true,
223
+ "normalized": false,
224
+ "rstrip": true,
225
+ "single_word": false,
226
+ "special": true
227
+ },
228
+ "100283": {
229
+ "content": "<|dummy_19|>",
230
+ "lstrip": true,
231
+ "normalized": false,
232
+ "rstrip": true,
233
+ "single_word": false,
234
+ "special": true
235
+ },
236
+ "100284": {
237
+ "content": "<|dummy_20|>",
238
+ "lstrip": true,
239
+ "normalized": false,
240
+ "rstrip": true,
241
+ "single_word": false,
242
+ "special": true
243
+ },
244
+ "100285": {
245
+ "content": "<|dummy_21|>",
246
+ "lstrip": true,
247
+ "normalized": false,
248
+ "rstrip": true,
249
+ "single_word": false,
250
+ "special": true
251
+ },
252
+ "100286": {
253
+ "content": "<|dummy_22|>",
254
+ "lstrip": true,
255
+ "normalized": false,
256
+ "rstrip": true,
257
+ "single_word": false,
258
+ "special": true
259
+ },
260
+ "100287": {
261
+ "content": "<|dummy_23|>",
262
+ "lstrip": true,
263
+ "normalized": false,
264
+ "rstrip": true,
265
+ "single_word": false,
266
+ "special": true
267
+ },
268
+ "100288": {
269
+ "content": "<|dummy_24|>",
270
+ "lstrip": true,
271
+ "normalized": false,
272
+ "rstrip": true,
273
+ "single_word": false,
274
+ "special": true
275
+ },
276
+ "100289": {
277
+ "content": "<|dummy_25|>",
278
+ "lstrip": true,
279
+ "normalized": false,
280
+ "rstrip": true,
281
+ "single_word": false,
282
+ "special": true
283
+ },
284
+ "100290": {
285
+ "content": "<|dummy_26|>",
286
+ "lstrip": true,
287
+ "normalized": false,
288
+ "rstrip": true,
289
+ "single_word": false,
290
+ "special": true
291
+ },
292
+ "100291": {
293
+ "content": "<|dummy_27|>",
294
+ "lstrip": true,
295
+ "normalized": false,
296
+ "rstrip": true,
297
+ "single_word": false,
298
+ "special": true
299
+ },
300
+ "100292": {
301
+ "content": "<|dummy_28|>",
302
+ "lstrip": true,
303
+ "normalized": false,
304
+ "rstrip": true,
305
+ "single_word": false,
306
+ "special": true
307
+ },
308
+ "100293": {
309
+ "content": "<|dummy_29|>",
310
+ "lstrip": true,
311
+ "normalized": false,
312
+ "rstrip": true,
313
+ "single_word": false,
314
+ "special": true
315
+ },
316
+ "100294": {
317
+ "content": "<|dummy_30|>",
318
+ "lstrip": true,
319
+ "normalized": false,
320
+ "rstrip": true,
321
+ "single_word": false,
322
+ "special": true
323
+ },
324
+ "100295": {
325
+ "content": "<|dummy_31|>",
326
+ "lstrip": true,
327
+ "normalized": false,
328
+ "rstrip": true,
329
+ "single_word": false,
330
+ "special": true
331
+ },
332
+ "100296": {
333
+ "content": "<|dummy_32|>",
334
+ "lstrip": true,
335
+ "normalized": false,
336
+ "rstrip": true,
337
+ "single_word": false,
338
+ "special": true
339
+ },
340
+ "100297": {
341
+ "content": "<|dummy_33|>",
342
+ "lstrip": true,
343
+ "normalized": false,
344
+ "rstrip": true,
345
+ "single_word": false,
346
+ "special": true
347
+ },
348
+ "100298": {
349
+ "content": "<|dummy_34|>",
350
+ "lstrip": true,
351
+ "normalized": false,
352
+ "rstrip": true,
353
+ "single_word": false,
354
+ "special": true
355
+ },
356
+ "100299": {
357
+ "content": "<|dummy_35|>",
358
+ "lstrip": true,
359
+ "normalized": false,
360
+ "rstrip": true,
361
+ "single_word": false,
362
+ "special": true
363
+ },
364
+ "100300": {
365
+ "content": "<|dummy_36|>",
366
+ "lstrip": true,
367
+ "normalized": false,
368
+ "rstrip": true,
369
+ "single_word": false,
370
+ "special": true
371
+ },
372
+ "100301": {
373
+ "content": "<|dummy_37|>",
374
+ "lstrip": true,
375
+ "normalized": false,
376
+ "rstrip": true,
377
+ "single_word": false,
378
+ "special": true
379
+ },
380
+ "100302": {
381
+ "content": "<|dummy_38|>",
382
+ "lstrip": true,
383
+ "normalized": false,
384
+ "rstrip": true,
385
+ "single_word": false,
386
+ "special": true
387
+ },
388
+ "100303": {
389
+ "content": "<|dummy_39|>",
390
+ "lstrip": true,
391
+ "normalized": false,
392
+ "rstrip": true,
393
+ "single_word": false,
394
+ "special": true
395
+ },
396
+ "100304": {
397
+ "content": "<|dummy_40|>",
398
+ "lstrip": true,
399
+ "normalized": false,
400
+ "rstrip": true,
401
+ "single_word": false,
402
+ "special": true
403
+ },
404
+ "100305": {
405
+ "content": "<|dummy_41|>",
406
+ "lstrip": true,
407
+ "normalized": false,
408
+ "rstrip": true,
409
+ "single_word": false,
410
+ "special": true
411
+ },
412
+ "100306": {
413
+ "content": "<|dummy_42|>",
414
+ "lstrip": true,
415
+ "normalized": false,
416
+ "rstrip": true,
417
+ "single_word": false,
418
+ "special": true
419
+ },
420
+ "100307": {
421
+ "content": "<|dummy_43|>",
422
+ "lstrip": true,
423
+ "normalized": false,
424
+ "rstrip": true,
425
+ "single_word": false,
426
+ "special": true
427
+ },
428
+ "100308": {
429
+ "content": "<|dummy_44|>",
430
+ "lstrip": true,
431
+ "normalized": false,
432
+ "rstrip": true,
433
+ "single_word": false,
434
+ "special": true
435
+ },
436
+ "100309": {
437
+ "content": "<|dummy_45|>",
438
+ "lstrip": true,
439
+ "normalized": false,
440
+ "rstrip": true,
441
+ "single_word": false,
442
+ "special": true
443
+ },
444
+ "100310": {
445
+ "content": "<|dummy_46|>",
446
+ "lstrip": true,
447
+ "normalized": false,
448
+ "rstrip": true,
449
+ "single_word": false,
450
+ "special": true
451
+ },
452
+ "100311": {
453
+ "content": "<|dummy_47|>",
454
+ "lstrip": true,
455
+ "normalized": false,
456
+ "rstrip": true,
457
+ "single_word": false,
458
+ "special": true
459
+ },
460
+ "100312": {
461
+ "content": "<|dummy_48|>",
462
+ "lstrip": true,
463
+ "normalized": false,
464
+ "rstrip": true,
465
+ "single_word": false,
466
+ "special": true
467
+ },
468
+ "100313": {
469
+ "content": "<|dummy_49|>",
470
+ "lstrip": true,
471
+ "normalized": false,
472
+ "rstrip": true,
473
+ "single_word": false,
474
+ "special": true
475
+ },
476
+ "100314": {
477
+ "content": "<|dummy_50|>",
478
+ "lstrip": true,
479
+ "normalized": false,
480
+ "rstrip": true,
481
+ "single_word": false,
482
+ "special": true
483
+ },
484
+ "100315": {
485
+ "content": "<|dummy_51|>",
486
+ "lstrip": true,
487
+ "normalized": false,
488
+ "rstrip": true,
489
+ "single_word": false,
490
+ "special": true
491
+ },
492
+ "100316": {
493
+ "content": "<|dummy_52|>",
494
+ "lstrip": true,
495
+ "normalized": false,
496
+ "rstrip": true,
497
+ "single_word": false,
498
+ "special": true
499
+ },
500
+ "100317": {
501
+ "content": "<|dummy_53|>",
502
+ "lstrip": true,
503
+ "normalized": false,
504
+ "rstrip": true,
505
+ "single_word": false,
506
+ "special": true
507
+ },
508
+ "100318": {
509
+ "content": "<|dummy_54|>",
510
+ "lstrip": true,
511
+ "normalized": false,
512
+ "rstrip": true,
513
+ "single_word": false,
514
+ "special": true
515
+ },
516
+ "100319": {
517
+ "content": "<|dummy_55|>",
518
+ "lstrip": true,
519
+ "normalized": false,
520
+ "rstrip": true,
521
+ "single_word": false,
522
+ "special": true
523
+ },
524
+ "100320": {
525
+ "content": "<|dummy_56|>",
526
+ "lstrip": true,
527
+ "normalized": false,
528
+ "rstrip": true,
529
+ "single_word": false,
530
+ "special": true
531
+ },
532
+ "100321": {
533
+ "content": "<|dummy_57|>",
534
+ "lstrip": true,
535
+ "normalized": false,
536
+ "rstrip": true,
537
+ "single_word": false,
538
+ "special": true
539
+ },
540
+ "100322": {
541
+ "content": "<|dummy_58|>",
542
+ "lstrip": true,
543
+ "normalized": false,
544
+ "rstrip": true,
545
+ "single_word": false,
546
+ "special": true
547
+ },
548
+ "100323": {
549
+ "content": "<|dummy_59|>",
550
+ "lstrip": true,
551
+ "normalized": false,
552
+ "rstrip": true,
553
+ "single_word": false,
554
+ "special": true
555
+ },
556
+ "100324": {
557
+ "content": "<|dummy_60|>",
558
+ "lstrip": true,
559
+ "normalized": false,
560
+ "rstrip": true,
561
+ "single_word": false,
562
+ "special": true
563
+ },
564
+ "100325": {
565
+ "content": "<|dummy_61|>",
566
+ "lstrip": true,
567
+ "normalized": false,
568
+ "rstrip": true,
569
+ "single_word": false,
570
+ "special": true
571
+ },
572
+ "100326": {
573
+ "content": "<|dummy_62|>",
574
+ "lstrip": true,
575
+ "normalized": false,
576
+ "rstrip": true,
577
+ "single_word": false,
578
+ "special": true
579
+ },
580
+ "100327": {
581
+ "content": "<|dummy_63|>",
582
+ "lstrip": true,
583
+ "normalized": false,
584
+ "rstrip": true,
585
+ "single_word": false,
586
+ "special": true
587
+ },
588
+ "100328": {
589
+ "content": "<|dummy_64|>",
590
+ "lstrip": true,
591
+ "normalized": false,
592
+ "rstrip": true,
593
+ "single_word": false,
594
+ "special": true
595
+ },
596
+ "100329": {
597
+ "content": "<|dummy_65|>",
598
+ "lstrip": true,
599
+ "normalized": false,
600
+ "rstrip": true,
601
+ "single_word": false,
602
+ "special": true
603
+ },
604
+ "100330": {
605
+ "content": "<|dummy_66|>",
606
+ "lstrip": true,
607
+ "normalized": false,
608
+ "rstrip": true,
609
+ "single_word": false,
610
+ "special": true
611
+ },
612
+ "100331": {
613
+ "content": "<|dummy_67|>",
614
+ "lstrip": true,
615
+ "normalized": false,
616
+ "rstrip": true,
617
+ "single_word": false,
618
+ "special": true
619
+ },
620
+ "100332": {
621
+ "content": "<|dummy_68|>",
622
+ "lstrip": true,
623
+ "normalized": false,
624
+ "rstrip": true,
625
+ "single_word": false,
626
+ "special": true
627
+ },
628
+ "100333": {
629
+ "content": "<|dummy_69|>",
630
+ "lstrip": true,
631
+ "normalized": false,
632
+ "rstrip": true,
633
+ "single_word": false,
634
+ "special": true
635
+ },
636
+ "100334": {
637
+ "content": "<|dummy_70|>",
638
+ "lstrip": true,
639
+ "normalized": false,
640
+ "rstrip": true,
641
+ "single_word": false,
642
+ "special": true
643
+ },
644
+ "100335": {
645
+ "content": "<|dummy_71|>",
646
+ "lstrip": true,
647
+ "normalized": false,
648
+ "rstrip": true,
649
+ "single_word": false,
650
+ "special": true
651
+ },
652
+ "100336": {
653
+ "content": "<|dummy_72|>",
654
+ "lstrip": true,
655
+ "normalized": false,
656
+ "rstrip": true,
657
+ "single_word": false,
658
+ "special": true
659
+ },
660
+ "100337": {
661
+ "content": "<|dummy_73|>",
662
+ "lstrip": true,
663
+ "normalized": false,
664
+ "rstrip": true,
665
+ "single_word": false,
666
+ "special": true
667
+ },
668
+ "100338": {
669
+ "content": "<|dummy_74|>",
670
+ "lstrip": true,
671
+ "normalized": false,
672
+ "rstrip": true,
673
+ "single_word": false,
674
+ "special": true
675
+ },
676
+ "100339": {
677
+ "content": "<|dummy_75|>",
678
+ "lstrip": true,
679
+ "normalized": false,
680
+ "rstrip": true,
681
+ "single_word": false,
682
+ "special": true
683
+ },
684
+ "100340": {
685
+ "content": "<|dummy_76|>",
686
+ "lstrip": true,
687
+ "normalized": false,
688
+ "rstrip": true,
689
+ "single_word": false,
690
+ "special": true
691
+ },
692
+ "100341": {
693
+ "content": "<|dummy_77|>",
694
+ "lstrip": true,
695
+ "normalized": false,
696
+ "rstrip": true,
697
+ "single_word": false,
698
+ "special": true
699
+ },
700
+ "100342": {
701
+ "content": "<|dummy_78|>",
702
+ "lstrip": true,
703
+ "normalized": false,
704
+ "rstrip": true,
705
+ "single_word": false,
706
+ "special": true
707
+ },
708
+ "100343": {
709
+ "content": "<|dummy_79|>",
710
+ "lstrip": true,
711
+ "normalized": false,
712
+ "rstrip": true,
713
+ "single_word": false,
714
+ "special": true
715
+ },
716
+ "100344": {
717
+ "content": "<|dummy_80|>",
718
+ "lstrip": true,
719
+ "normalized": false,
720
+ "rstrip": true,
721
+ "single_word": false,
722
+ "special": true
723
+ },
724
+ "100345": {
725
+ "content": "<|dummy_81|>",
726
+ "lstrip": true,
727
+ "normalized": false,
728
+ "rstrip": true,
729
+ "single_word": false,
730
+ "special": true
731
+ },
732
+ "100346": {
733
+ "content": "<|dummy_82|>",
734
+ "lstrip": true,
735
+ "normalized": false,
736
+ "rstrip": true,
737
+ "single_word": false,
738
+ "special": true
739
+ },
740
+ "100347": {
741
+ "content": "<|dummy_83|>",
742
+ "lstrip": true,
743
+ "normalized": false,
744
+ "rstrip": true,
745
+ "single_word": false,
746
+ "special": true
747
+ },
748
+ "100348": {
749
+ "content": "<|dummy_84|>",
750
+ "lstrip": true,
751
+ "normalized": false,
752
+ "rstrip": true,
753
+ "single_word": false,
754
+ "special": true
755
+ },
756
+ "100349": {
757
+ "content": "<|dummy_85|>",
758
+ "lstrip": true,
759
+ "normalized": false,
760
+ "rstrip": true,
761
+ "single_word": false,
762
+ "special": true
763
+ },
764
+ "100350": {
765
+ "content": "<|dummy_86|>",
766
+ "lstrip": true,
767
+ "normalized": false,
768
+ "rstrip": true,
769
+ "single_word": false,
770
+ "special": true
771
+ },
772
+ "100351": {
773
+ "content": "<|dummy_87|>",
774
+ "lstrip": true,
775
+ "normalized": false,
776
+ "rstrip": true,
777
+ "single_word": false,
778
+ "special": true
779
+ }
780
+ },
781
+ "bos_token": "<|endoftext|>",
782
+ "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
783
+ "clean_up_tokenization_spaces": false,
784
+ "eos_token": "<|im_end|>",
785
+ "extra_special_tokens": {},
786
+ "model_max_length": 16384,
787
+ "pad_token": "<|dummy_87|>",
788
+ "padding_side": "left",
789
+ "tokenizer_class": "GPT2Tokenizer",
790
+ "unk_token": "�"
791
+ }