From 482fa250ba749f18df81258eff1a2d8f4cc480f7 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Wed, 8 Jul 2026 06:26:10 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: exnivo/tinybrain-100m-base Source: Original Platform --- .gitattributes | 36 + README.md | 448 + assets/.gitkeep | 0 assets/tinybrain-100m-base-banner.png | 3 + config.json | 32 + generation_config.json | 10 + model.safetensors | 3 + special_tokens_map.json | 14 + tokenizer.json | 119061 +++++++++++++++++++++++ tokenizer_config.json | 19 + 10 files changed, 119626 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 assets/.gitkeep create mode 100644 assets/tinybrain-100m-base-banner.png create mode 100644 config.json create mode 100644 generation_config.json create mode 100644 model.safetensors create mode 100644 special_tokens_map.json create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..3daa9af --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +assets/tinybrain-100m-base-banner.png filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..90e43ed --- /dev/null +++ b/README.md @@ -0,0 +1,448 @@ +--- +license: apache-2.0 +language: + - en +library_name: transformers +pipeline_tag: text-generation +tags: + - llama + - text-generation + - causal-lm + - tinybrain + - from-scratch + - 100m + - base-model + - small-language-model + - tiny-llm + - english + - pretraining + - transformers +datasets: + - exnivo/tinybrain-pretrain-corpus-2b +--- + +

+ TinyBrain-100M Base — Base language model for small LLMs +

+ +# TinyBrain-100M Base + +**A 103M parameter English causal language model trained from scratch.** + +TinyBrain-100M Base is a small LLaMA-style causal language model trained from scratch on the [`exnivo/tinybrain-pretrain-corpus-2b`](https://huggingface.co/datasets/exnivo/tinybrain-pretrain-corpus-2b) dataset. + +This is a **base model**, not an instruct/chat model. It is intended for language modeling experiments, continued pretraining, supervised fine-tuning, and small-model research. + +For chat or instruction-following behavior, use the instruction-tuned version: + +[`exnivo/tinybrain-100m-instruct`](https://huggingface.co/exnivo/tinybrain-100m-instruct) + +## Quick Start + +```python +from transformers import AutoTokenizer, AutoModelForCausalLM + +model_id = "exnivo/tinybrain-100m-base" + +tokenizer = AutoTokenizer.from_pretrained(model_id) +model = AutoModelForCausalLM.from_pretrained(model_id) + +prompt = "Photosynthesis is the process by which plants" +inputs = tokenizer(prompt, return_tensors="pt") + +outputs = model.generate( + **inputs, + max_new_tokens=80, + temperature=0.8, + top_p=0.9, + repetition_penalty=1.08, + do_sample=True, + pad_token_id=tokenizer.eos_token_id, +) + +print(tokenizer.decode(outputs[0], skip_special_tokens=True)) +``` + +## At a Glance + +| Item | Details | +|---|---| +| Model type | Base causal language model | +| Parameters | 103,385,856 | +| Approx. size | 103.4M | +| Architecture | LLaMA-style causal transformer | +| Language | English | +| Context length | 2048 tokens | +| Vocabulary size | 24,000 | +| Tokenizer | Custom TinyBrain tokenizer | +| Training style | From scratch pretraining | +| Pretraining dataset | [`exnivo/tinybrain-pretrain-corpus-2b`](https://huggingface.co/datasets/exnivo/tinybrain-pretrain-corpus-2b) | +| Instruct dataset | [`exnivo/tinybrain-instruct-sft-200k`](https://huggingface.co/datasets/exnivo/tinybrain-instruct-sft-200k) | +| Instruct model | [`exnivo/tinybrain-100m-instruct`](https://huggingface.co/exnivo/tinybrain-100m-instruct) | + +## Model Details + +| Item | Value | +|---|---| +| Parameters | 103.4M | +| Architecture | `llama` / `LlamaForCausalLM` | +| Vocabulary size | 24,000 | +| Context length | 2048 tokens | +| Hidden size | 768 | +| Intermediate size | 2048 | +| Layers | 12 | +| Attention heads | 12 | +| Key/value heads | 12 | +| Activation | SiLU | +| RMS norm epsilon | `1e-05` | +| Tied embeddings | true | +| BOS token | `<|bos|>` | +| EOS token | `<|eos|>` | +| PAD token | `<|pad|>` | +| Dataset | [`exnivo/tinybrain-pretrain-corpus-2b`](https://huggingface.co/datasets/exnivo/tinybrain-pretrain-corpus-2b) | + +## Intended Use + +TinyBrain-100M Base is intended for: + +- small language model research +- causal language modeling experiments +- continued pretraining +- supervised fine-tuning +- instruction tuning +- tokenizer/model experiments +- educational small-model projects +- comparing base vs instruct behavior +- lightweight local model experiments + +This model is best used as a **base checkpoint** for further training. + +## Not Intended For + +This model is not intended to be used directly as a finished assistant. + +Do not rely on the base model for: + +- polished chat behavior +- instruction following +- safety-critical answers +- factual authority +- medical, legal, or financial advice +- live/current information +- advanced reasoning +- production use without evaluation + +For assistant-style behavior, use [`exnivo/tinybrain-100m-instruct`](https://huggingface.co/exnivo/tinybrain-100m-instruct) instead. + +## Training Data + +TinyBrain-100M Base was trained on: + +[`exnivo/tinybrain-pretrain-corpus-2b`](https://huggingface.co/datasets/exnivo/tinybrain-pretrain-corpus-2b) + +The pretraining corpus is a mixed-source English dataset containing factual text, educational text, math reasoning data, code data, conversation-style data, and clean web text. + +The pretraining corpus scan found: + +| Metric | Value | +|---|---:| +| Rows | 3,013,308 | +| Characters | 7,767,447,861 | +| Words | 1,249,832,587 | +| Approx. tokens | ~1.81B tokenizer-independent estimate | + +The training run used an estimated **~2.1B training tokens**. Token counts may differ depending on tokenizer, packing, filtering, and training pipeline details. + +## Dataset Mix + +The pretraining corpus includes these broad categories: + +| Category | Rows | Percent | +|---|---:|---:| +| `factual` | 773,492 | 25.67% | +| `educational` | 752,625 | 24.98% | +| `math_reasoning` | 633,341 | 21.02% | +| `code` | 326,019 | 10.82% | +| `conversation` | 296,728 | 9.85% | +| `clean_web` | 231,103 | 7.67% | + +## Relationship to TinyBrain + +TinyBrain is a small LLM project focused on compact datasets, small base models, and instruction-tuned models. + +| Stage | Repository | Purpose | +|---|---|---| +| Pretraining corpus | [`exnivo/tinybrain-pretrain-corpus-2b`](https://huggingface.co/datasets/exnivo/tinybrain-pretrain-corpus-2b) | Base language model training data | +| Base model | [`exnivo/tinybrain-100m-base`](https://huggingface.co/exnivo/tinybrain-100m-base) | Small causal LM trained from scratch | +| SFT dataset | [`exnivo/tinybrain-instruct-sft-200k`](https://huggingface.co/datasets/exnivo/tinybrain-instruct-sft-200k) | Instruction/chat fine-tuning data | +| Instruct model | [`exnivo/tinybrain-100m-instruct`](https://huggingface.co/exnivo/tinybrain-100m-instruct) | Chat/instruct model fine-tuned from the base model | + +Pipeline: + +```text +TinyBrain Pretrain Corpus 2B + ↓ +TinyBrain-100M Base + ↓ +TinyBrain Instruct 200K + ↓ +TinyBrain-100M Instruct +``` + +## Evaluation + +A quick WikiText-2 evaluation was run on the base model. + +| Metric | Value | +|---|---:| +| Eval tokens | 38,138 | +| Eval text chars | 159,791 | +| Loss | 3.7440 | +| Perplexity | 42.27 | + +This is a lightweight evaluation, not a full benchmark suite. Results may vary depending on evaluation script, tokenizer settings, context length, and dataset preprocessing. + +## Base Model Behavior + +TinyBrain-100M Base is a raw pretrained model. It can complete text, but it is not tuned to follow instructions. + +Example base prompt: + +```text +Photosynthesis is the process by which plants +``` + +The base model may continue with partially useful text, but it can also repeat, drift, hallucinate, or produce broken completions. This is expected for a small base model and is one reason instruction tuning is needed. + +For better chat behavior, use: + +[`exnivo/tinybrain-100m-instruct`](https://huggingface.co/exnivo/tinybrain-100m-instruct) + +## Recommended Generation Settings + +For raw base-model text completion: + +```python +temperature = 0.8 +top_p = 0.9 +max_new_tokens = 80 +repetition_penalty = 1.08 +``` + +For more stable completions: + +```python +temperature = 0.5 +top_p = 0.85 +max_new_tokens = 80 +repetition_penalty = 1.1 +``` + +For deterministic testing: + +```python +do_sample = False +max_new_tokens = 80 +``` + +## Example: Text Completion + +```python +from transformers import AutoTokenizer, AutoModelForCausalLM + +model_id = "exnivo/tinybrain-100m-base" + +tokenizer = AutoTokenizer.from_pretrained(model_id) +model = AutoModelForCausalLM.from_pretrained(model_id) + +prompt = "Gravity is the force that" +inputs = tokenizer(prompt, return_tensors="pt") + +outputs = model.generate( + **inputs, + max_new_tokens=80, + do_sample=True, + temperature=0.8, + top_p=0.9, + repetition_penalty=1.08, + pad_token_id=tokenizer.eos_token_id, +) + +print(tokenizer.decode(outputs[0], skip_special_tokens=True)) +``` + +## Example: Fine-Tuning Starting Point + +TinyBrain-100M Base can be fine-tuned on the TinyBrain SFT dataset: + +```python +from datasets import load_dataset +from transformers import AutoTokenizer, AutoModelForCausalLM +from trl import SFTTrainer, SFTConfig + +base_model = "exnivo/tinybrain-100m-base" +dataset_id = "exnivo/tinybrain-instruct-sft-200k" + +tokenizer = AutoTokenizer.from_pretrained(base_model) +model = AutoModelForCausalLM.from_pretrained(base_model) + +ds = load_dataset(dataset_id, split="train") + +def format_example(example): + text = "" + + for message in example["messages"]: + role = message["role"] + content = message["content"].strip() + + if role == "user": + text += f"User: {content}\n" + elif role == "assistant": + text += f"Assistant: {content}\n" + + return {"text": text.strip()} + +ds = ds.map(format_example) + +config = SFTConfig( + output_dir="tinybrain-100m-instruct-sft", + dataset_text_field="text", + max_seq_length=512, + per_device_train_batch_size=8, + gradient_accumulation_steps=4, + learning_rate=2e-5, + num_train_epochs=1, + logging_steps=20, + save_steps=500, +) + +trainer = SFTTrainer( + model=model, + tokenizer=tokenizer, + train_dataset=ds, + args=config, +) + +trainer.train() +``` + +## Training + +TinyBrain-100M Base was trained from scratch on the TinyBrain pretraining corpus. + +Training details: + +| Item | Value | +|---|---| +| Training type | From-scratch causal language modeling | +| Dataset | TinyBrain Pretrain Corpus 2B | +| Approx. training tokens | ~2.1B | +| Reported best validation loss | 2.6779 | +| Training precision | bf16 | +| Hardware | NVIDIA RTX PRO 6000 Blackwell Server Edition | + +## Strengths + +TinyBrain-100M Base is useful because it is: + +- small and lightweight +- trained from scratch +- easy to inspect +- easy to fine-tune +- based on an open TinyBrain data pipeline +- trained on a compact mixed-source corpus +- suitable for small-model experiments +- useful as a base checkpoint for SFT + +## Limitations + +TinyBrain-100M Base has important limitations. + +The model may: + +- hallucinate facts +- produce broken or repetitive text +- fail at math +- fail at instruction following +- misunderstand prompts +- generate incomplete code +- produce outdated or incorrect information +- drift off-topic +- repeat web/data artifacts + +This is expected for a small **base** model. It has not been tuned to reliably follow user instructions. + +For chat and assistant behavior, use the instruction-tuned model instead. + +## Suggested Evaluation + +Recommended checks: + +- validation loss / perplexity +- text completion quality +- repetition behavior +- short factual completions +- simple math completions +- code completion sanity checks +- hallucination checks +- before/after SFT comparison +- downstream instruction-following after fine-tuning + +Example base-model prompts: + +```text +Paris is the capital city of +``` + +```text +The Netherlands is a country in +``` + +```text +A cat is an animal that +``` + +```text +One plus one equals +``` + +```text +Photosynthesis is the process by which plants +``` + +## Citation + +If you use this model, you can cite it as: + +```bibtex +@misc{tinybrain_100m_base, + title = {TinyBrain-100M Base}, + author = {exnivo}, + year = {2026}, + publisher = {Hugging Face}, + howpublished = {\url{https://huggingface.co/exnivo/tinybrain-100m-base}} +} +``` + +## Related Repositories + +- Pretraining corpus: [`exnivo/tinybrain-pretrain-corpus-2b`](https://huggingface.co/datasets/exnivo/tinybrain-pretrain-corpus-2b) +- Base model: [`exnivo/tinybrain-100m-base`](https://huggingface.co/exnivo/tinybrain-100m-base) +- SFT dataset: [`exnivo/tinybrain-instruct-sft-200k`](https://huggingface.co/datasets/exnivo/tinybrain-instruct-sft-200k) +- Instruct model: [`exnivo/tinybrain-100m-instruct`](https://huggingface.co/exnivo/tinybrain-100m-instruct) + +## License + +This model is released under the Apache 2.0 license. + +The training dataset is mixed-source and currently listed under `license: other`. Users should review the upstream dataset licenses and source metadata before commercial use of models trained or fine-tuned from this checkpoint. + +## Disclaimer + +TinyBrain-100M Base is an experimental small base language model. 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17545, + "apple": 17546, + "disciplinary": 17547, + "Ġexcel": 17548, + "ĠQuick": 17549, + ")+(": 17550, + "ĠMilan": 17551, + "Ġinterpretations": 17552, + "Ġearns": 17553, + "Organ": 17554, + "Ġabsorption": 17555, + "Ġshaded": 17556, + "Ġacknowledge": 17557, + "ĠBowl": 17558, + "Ġbarely": 17559, + "Ġanxious": 17560, + "DO": 17561, + "Field": 17562, + "Hon": 17563, + "Load": 17564, + "ĠTol": 17565, + "Ġforty": 17566, + "Ġ1901": 17567, + "assador": 17568, + "neum": 17569, + "Ġupgrade": 17570, + "Ġvariability": 17571, + "Ġcorrection": 17572, + "Ġ<-": 17573, + "ĠEnjoy": 17574, + "attributes": 17575, + "456": 17576, + "Ġsilence": 17577, + "Ġsuspense": 17578, + "ĠPatri": 17579, + "ño": 17580, + "ĠMoz": 17581, + "ĠPopular": 17582, + "Ġcasino": 17583, + "interest": 17584, + "Ġtapest": 17585, + "Determine": 17586, + "BT": 17587, + "Hope": 17588, + "vs": 17589, + "Ġfence": 17590, + "Ġlb": 17591, + "ĠTs": 17592, + "ĠCour": 17593, + "ĠOK": 17594, + "standard": 17595, + "Ġguilty": 17596, + "azed": 17597, + "Ġdurable": 17598, + "vereign": 17599, + "Ġcricketer": 17600, + "Ġbanana": 17601, + "Ġcomplementary": 17602, + "Ġmedalists": 17603, + "Lab": 17604, + "Natural": 17605, + "fr": 17606, + "Ġum": 17607, + "esc": 17608, + "Ġpenn": 17609, + "Ġmuff": 17610, + "Ġdont": 17611, + "states": 17612, + "usually": 17613, + "Ġbearing": 17614, + "ĠMoney": 17615, + "Ġexert": 17616, + "ĠDVD": 17617, + "ĠLanc": 17618, + "uba": 17619, + "Ġsimulations": 17620, + "Ġbuses": 17621, + "Ġmarkdown": 17622, + "ĠOrleans": 17623, + "Ġeducator": 17624, + "ĠTeacher": 17625, + "Ġverse": 17626, + "Ġpromised": 17627, + "ushing": 17628, + "Ġcouples": 17629, + "ĠSurface": 17630, + "Ġinhab": 17631, + "Ġcompliance": 17632, + "oddess": 17633, + "Ġsponsored": 17634, + "Ġlivestock": 17635, + "nx": 17636, + "pill": 17637, + "rr": 17638, + "Ġ000": 17639, + "Ġtetra": 17640, + "stable": 17641, + "ravel": 17642, + "imore": 17643, + "ĠHaz": 17644, + "ĠYOU": 17645, + "obic": 17646, + "Ġfoundations": 17647, + "Ġdonations": 17648, + "ĠByz": 17649, + "methods": 17650, + "bad": 17651, + "thesis": 17652, + "aten": 17653, + "esy": 17654, + "Ġward": 17655, + "Ġfired": 17656, + "Ġgri": 17657, + "ĠSales": 17658, + "unn": 17659, + "isted": 17660, + "ĠHost": 17661, + "ĠDublin": 17662, + "available": 17663, + "Ġdisabled": 17664, + "ĠVancouver": 17665, + "Ġacted": 17666, + "Ġministry": 17667, + "Ġfootage": 17668, + "Ġdetermin": 17669, + "proxy": 17670, + "servatory": 17671, + "Convert": 17672, + "ĠDeputy": 17673, + "Ġaccepts": 17674, + "Ġspiral": 17675, + "Ġattacked": 17676, + "Ġgrandmother": 17677, + "winning": 17678, + "ĠPersian": 17679, + "Former": 17680, + "Ġdiscriminant": 17681, + "Ġmasks": 17682, + "execute": 17683, + "Sen": 17684, + "mate": 17685, + "Ġfier": 17686, + "Ġbom": 17687, + "elia": 17688, + "olid": 17689, + "ĠPick": 17690, + "ĠHim": 17691, + "emed": 17692, + "Ġdeput": 17693, + "osid": 17694, + "Ġ\".": 17695, + "Ġworries": 17696, + "ĠJenn": 17697, + "Ġadmit": 17698, + "Ġadverse": 17699, + "Ġperceptions": 17700, + "weed": 17701, + "Ġimply": 17702, + "Ġlocality": 17703, + "bey": 17704, + "braska": 17705, + "ĠAssessment": 17706, + "ASS": 17707, + "Ġtransforming": 17708, + "1986": 17709, + "uclear": 17710, + "Ġvaccines": 17711, + "Ġuniformly": 17712, + "Ġconjunction": 17713, + "ĠTreatment": 17714, + "Types": 17715, + "football": 17716, + "}:": 17717, + "Ġcited": 17718, + "imental": 17719, + "unique": 17720, + "Ġhell": 17721, + "Ġshar": 17722, + "Ġabol": 17723, + "Ġtear": 17724, + "ĠStir": 17725, + "Ġupgrad": 17726, + "icken": 17727, + "Query": 17728, + "105": 17729, + "ĠAround": 17730, + "Ġvegg": 17731, + "Ġglad": 17732, + "Ġswallow": 17733, + "1988": 17734, + "Develop": 17735, + "ĠMaximum": 17736, + "ĠðŁijį": 17737, + "Ġpermutation": 17738, + "ĠVitamin": 17739, + "Ġsnippet": 17740, + "Ġbats": 17741, + "lee": 17742, + "Ġdé": 17743, + "chat": 17744, + "Ġexclusively": 17745, + "ĠFal": 17746, + "ĠFight": 17747, + "ĠCha": 17748, + "__(": 17749, + "Ġfactored": 17750, + "ĠSeven": 17751, + "Ġidentifies": 17752, + "ategories": 17753, + "Ġlateral": 17754, + "ACK": 17755, + "Ġcompositions": 17756, + "Ġconsequence": 17757, + "Ġteenagers": 17758, + "Ġvolcanic": 17759, + "nabla": 17760, + "Ġunwanted": 17761, + "Ġsusceptible": 17762, + "]['": 17763, + "aired": 17764, + "average": 17765, + "Ġanten": 17766, + "aby": 17767, + "ĠFame": 17768, + "ĠLuis": 17769, + "isha": 17770, + "Ġworkflow": 17771, + "Ġsimilarity": 17772, + "Ġautomation": 17773, + "rimp": 17774, + "ĠPortland": 17775, + "Ġpremises": 17776, + "Ġasteroid": 17777, + "temp": 17778, + "ĠCuba": 17779, + "ĠTelevision": 17780, + "Ġgambling": 17781, + "hai": 17782, + "sets": 17783, + "urop": 17784, + "Ġfart": 17785, + "ĠTang": 17786, + "Ġye": 17787, + "Ġvintage": 17788, + "Ġchairs": 17789, + "tech": 17790, + "Their": 17791, + "anship": 17792, + "ĠKi": 17793, + "Ġsovereign": 17794, + "Ġevoke": 17795, + "Ġtransparent": 17796, + "Ġfactories": 17797, + "Ġhandled": 17798, + "ĠZero": 17799, + "Ġopts": 17800, + "Ask": 17801, + "Algebra": 17802, + "Ġcaptures": 17803, + "ĠDepression": 17804, + "Ġfitting": 17805, + "rability": 17806, + "Ġviolin": 17807, + "Ġburden": 17808, + "ÑģÑĤв": 17809, + "Books": 17810, + "Hint": 17811, + "WH": 17812, + "human": 17813, + "xual": 17814, + "{[": 17815, + "Ġpian": 17816, + "Ġmelt": 17817, + "ete": 17818, + "Ġisosceles": 17819, + "utors": 17820, + "ĠSW": 17821, + "ĠRidge": 17822, + "rugu": 17823, + "ĠLeo": 17824, + "Ġlesser": 17825, + "aja": 17826, + "ĠExploration": 17827, + "shift": 17828, + "Ġbeginners": 17829, + "Ġeconomies": 17830, + "Ġclicking": 17831, + "Color": 17832, + "Ġunfold": 17833, + "ĠStarting": 17834, + "ĠHyper": 17835, + "Ġadvocacy": 17836, + "Ġwrestling": 17837, + "ĠRequired": 17838, + "Ġberries": 17839, + "she": 17840, + "Ġbake": 17841, + "Ġincons": 17842, + "Ġstur": 17843, + "Ġprolong": 17844, + "Ġproving": 17845, + "Ġtransparency": 17846, + "Ġ123": 17847, + "Ġreadings": 17848, + "Ġdeviations": 17849, + "ĠðŁijİ": 17850, + "oriented": 17851, + "Ġreservoir": 17852, + "inely": 17853, + "Ġwand": 17854, + "Ġmad": 17855, + "Ġhats": 17856, + "Ġregex": 17857, + "ĠTensor": 17858, + "iral": 17859, + "Ġvoy": 17860, + "Ġprol": 17861, + "ĠFreedom": 17862, + "oped": 17863, + "ĠInstit": 17864, + "ipation": 17865, + "velope": 17866, + "Ġvalve": 17867, + "Ġinvers": 17868, + "Ġeducate": 17869, + "Ġverbal": 17870, + "Ġcamps": 17871, + "ĠSetting": 17872, + "Ġinvestigating": 17873, + "1987": 17874, + "Ġ1903": 17875, + "ĠSaudi": 17876, + "Ġenemies": 17877, + "ĠAuthority": 17878, + "*:": 17879, + "rise": 17880, + "worm": 17881, + "à®": 17882, + "åº": 17883, + "orative": 17884, + "Ġeats": 17885, + "uto": 17886, + "Ġweaken": 17887, + "ĠFalls": 17888, + "Ġoutliers": 17889, + "Ġobs": 17890, + "icked": 17891, + "Design": 17892, + "Ġstationary": 17893, + "Ġdemonstrating": 17894, + "ĠDifference": 17895, + "Ġlectures": 17896, + "çĶ¨": 17897, + "Meanwhile": 17898, + "vae": 17899, + "orious": 17900, + "learn": 17901, + "Ġdimin": 17902, + "ĠCamb": 17903, + "Ġconject": 17904, + "ĠIngredients": 17905, + "ĠKel": 17906, + "ibles": 17907, + "sterdam": 17908, + "lighten": 17909, + "},\\": 17910, + "ĠGlass": 17911, + "ĠBenefits": 17912, + "ðĿij¥": 17913, + "ĠCongo": 17914, + "ĠBillboard": 17915, + "ĠProducts": 17916, + "ĠBirth": 17917, + "Ġinterpreting": 17918, + "Ġowns": 17919, + "Ġabundance": 17920, + "Ġrejected": 17921, + "ĠPierre": 17922, + "Ġanalyses": 17923, + "Ġmetabolism": 17924, + ":%": 17925, + "Mart": 17926, + "bx": 17927, + "imedia": 17928, + "ĠCPU": 17929, + "ĠRick": 17930, + "ĠEinstein": 17931, + "ĠUV": 17932, + "Ġ'\\": 17933, + ".....": 17934, + "Ġagreements": 17935, + "ventional": 17936, + "restrial": 17937, + "Ġsquee": 17938, + "Ġcontinuity": 17939, + "ercy": 17940, + "ICE": 17941, + "Ġcredits": 17942, + "Ġpalm": 17943, + "ĠMemory": 17944, + "Film": 17945, + "Ġguns": 17946, + "Ġinternationally": 17947, + "Ġcounsel": 17948, + "sql": 17949, + "Ġfate": 17950, + "Ġpacks": 17951, + "rov": 17952, + "usc": 17953, + "ĠHil": 17954, + "Ġ\\(": 17955, + "ĠLiver": 17956, + "ĠVel": 17957, + "Ġextinct": 17958, + "Ġsurely": 17959, + "Ġrespected": 17960, + "Ġcomposers": 17961, + "Ġenhances": 17962, + "Ġparentheses": 17963, + "Ġchooses": 17964, + "ĠArabia": 17965, + "ĠConstant": 17966, + "Ġcommunicating": 17967, + "Ġmitigate": 17968, + "Ġpursuit": 17969, + "Ġnickel": 17970, + "Ġcanton": 17971, + "MB": 17972, + "Syn": 17973, + "hin": 17974, + "your": 17975, + "elif": 17976, + "igers": 17977, + "usive": 17978, + "ĠCT": 17979, + "Ġstating": 17980, + "umble": 17981, + "ivic": 17982, + "ĠBachelor": 17983, + "ĠRather": 17984, + "anto": 17985, + "Ġshield": 17986, + "ĠJup": 17987, + "ĠStats": 17988, + "Ġoverhead": 17989, + "Ġacoustic": 17990, + "annah": 17991, + "Ġextending": 17992, + "Exercise": 17993, + "ĠCommunications": 17994, + "apsed": 17995, + "Ġwarmer": 17996, + "Ġcleaner": 17997, + "END": 17998, + "Ġethics": 17999, + "Writers": 18000, + "ĠEventually": 18001, + "ĠPittsburgh": 18002, + "oan": 18003, + "Ġwr": 18004, + "ĠTed": 18005, + "ĠHappy": 18006, + "Ġrated": 18007, + "ĠGro": 18008, + "feature": 18009, + "iph": 18010, + "ĠKE": 18011, + "ĠKings": 18012, + "ĠStay": 18013, + "formed": 18014, + "Ġundergo": 18015, + "Ġsubmar": 18016, + "offee": 18017, + "prod": 18018, + "Ġbiases": 18019, + "radius": 18020, + "Ġweighted": 18021, + "iscal": 18022, + "Ġofferings": 18023, + "borough": 18024, + "incorporated": 18025, + "Ġhazards": 18026, + "ĠBarbara": 18027, + "Ġprovinces": 18028, + "ĠArchitecture": 18029, + "TYPE": 18030, + "Ġseafood": 18031, + "Staff": 18032, + "Access": 18033, + "LO": 18034, + "held": 18035, + "enne": 18036, + "Ġpist": 18037, + "Ġinev": 18038, + "leys": 18039, + "sto": 18040, + "ĠTher": 18041, + "olt": 18042, + "ĠWH": 18043, + "Ġ\\:": 18044, + "oslav": 18045, + "ĠLux": 18046, + "Ġcannab": 18047, + "Ġ480": 18048, + "Ġemployer": 18049, + "Ġblocking": 18050, + "лÑı": 18051, + "Ġestimation": 18052, + "untary": 18053, + "global": 18054, + "naments": 18055, + "Ġsculptures": 18056, + "Ġsailing": 18057, + "Ġinstructor": 18058, + "ĠAntarctica": 18059, + "Ġinserted": 18060, + "Ġaluminum": 18061, + "Ġumb": 18062, + "Ġstain": 18063, + "ĠPie": 18064, + "Ġheter": 18065, + "ĠOP": 18066, + "Ġcreators": 18067, + "Ġincidence": 18068, + "Ġbasin": 18069, + "Ġgeographic": 18070, + "Ġversionadded": 18071, + "chell": 18072, + "Ġportions": 18073, + "ĠDefense": 18074, + "uka": 18075, + "Ġthrilled": 18076, + "ĠBerkeley": 18077, + "Indian": 18078, + "George": 18079, + "izzes": 18080, + "Roman": 18081, + "oned": 18082, + "Ġcarn": 18083, + "Ġhparams": 18084, + "ĠCher": 18085, + "Ġexotic": 18086, + "Ġrouter": 18087, + "Ġtwin": 18088, + "Ġnewfound": 18089, + "Ġspecimens": 18090, + "Ġamen": 18091, + "Ġsubur": 18092, + "minus": 18093, + "Ġmessaging": 18094, + "Ġsubscri": 18095, + "Science": 18096, + "package": 18097, + "ĠAnnual": 18098, + "Ġcabin": 18099, + "buffer": 18100, + "inge": 18101, + "ĠSO": 18102, + "ĠCC": 18103, + "ĠCycl": 18104, + "separ": 18105, + "ĠFM": 18106, + "ĠEaster": 18107, + "ĠNan": 18108, + "mentation": 18109, + "Ġdose": 18110, + "ĠStrong": 18111, + "ĠAdapt": 18112, + "Ġgenetics": 18113, + "Ġpathways": 18114, + "Ġbroth": 18115, + "ни": 18116, + "ĠHispan": 18117, + "Ġvertically": 18118, + "Ġinteracting": 18119, + "Ġ1902": 18120, + "Ġ1908": 18121, + "Colle": 18122, + "Ġbutterfly": 18123, + "Ġpunishment": 18124, + "æľī": 18125, + "Ġearthquakes": 18126, + "Ġstereotypes": 18127, + "ĠBosnia": 18128, + "Ġpersuasive": 18129, + "Ġpivotal": 18130, + "Ġcompensation": 18131, + "IX": 18132, + "Watch": 18133, + "âĶ": 18134, + "esar": 18135, + "arms": 18136, + "ĠCover": 18137, + "umph": 18138, + "ĠRules": 18139, + "ĠLisa": 18140, + "Ġ102": 18141, + "Ġinvasive": 18142, + "enges": 18143, + "Ġmemorial": 18144, + "Ġfinest": 18145, + "Ġlanded": 18146, + "144": 18147, + "ĠCenters": 18148, + "Ġfigured": 18149, + "Ġurine": 18150, + "Ġdefinite": 18151, + "Ġfundament": 18152, + "Ġbotan": 18153, + "ĠCathedral": 18154, + "Ġrelaxed": 18155, + "Edit": 18156, + "juana": 18157, + "Ġconvinced": 18158, + "Rs": 18159, + "before": 18160, + "git": 18161, + "hole": 18162, + "kov": 18163, + "rg": 18164, + "elong": 18165, + "Ġgoddess": 18166, + "ĠBun": 18167, + "plain": 18168, + "Ġsha": 18169, + "Ġimplicit": 18170, + "Ġreserves": 18171, + "strings": 18172, + "Ġorganisations": 18173, + "listed": 18174, + "ĠDefining": 18175, + "altimore": 18176, + "Ġhorizon": 18177, + "Service": 18178, + "Ġrevolutionary": 18179, + "Ġfleet": 18180, + "ĠLuke": 18181, + "Learning": 18182, + "Ġhobby": 18183, + "ĠRoger": 18184, + "iche": 18185, + "Ġrevel": 18186, + "Ġgam": 18187, + "arte": 18188, + "activity": 18189, + "ipy": 18190, + "ishops": 18191, + "ĠUniverse": 18192, + "Though": 18193, + "Ġnonzero": 18194, + "Ġsnake": 18195, + "ĠCoal": 18196, + "ĠTechnical": 18197, + "ï¼ļ": 18198, + "Ġbutterflies": 18199, + "Ġpleased": 18200, + "ĠExpert": 18201, + "Ġdiffers": 18202, + "Ġconcentrated": 18203, + "GR": 18204, + "SO": 18205, + "SU": 18206, + "chen": 18207, + "enos": 18208, + "amo": 18209, + "ĠWid": 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"ĠCredit": 18262, + "ĠMail": 18263, + "ĠPin": 18264, + "ĠPor": 18265, + "ĠBarcelona": 18266, + "Ġ$(\\": 18267, + "ĠLE": 18268, + "Ġworkforce": 18269, + "Ġemission": 18270, + "comb": 18271, + "Ġmedals": 18272, + "Ġ/>": 18273, + "ĠAdditional": 18274, + "olecular": 18275, + "ĠResearchers": 18276, + "Ġconnectivity": 18277, + "ĠValent": 18278, + "Ġcompanion": 18279, + "Ġinjection": 18280, + "ĠMorris": 18281, + "Ġflatten": 18282, + "ĠLucy": 18283, + "ĠFactorization": 18284, + "Optional": 18285, + "ого": 18286, + "ĠConcepts": 18287, + "Ġterminology": 18288, + "Ġdivorce": 18289, + "unciation": 18290, + "GE": 18291, + "LAB": 18292, + "åį": 18293, + "Ġlively": 18294, + "immer": 18295, + "ĠSweet": 18296, + "ĠML": 18297, + "ĠMine": 18298, + "Ġconservative": 18299, + "ĠGarc": 18300, + "Ġdoctr": 18301, + "ilde": 18302, + "Ġexplos": 18303, + "Ġpatri": 18304, + "scar": 18305, + "ĠDeterm": 18306, + "Ġcrafted": 18307, + "Ġaligns": 18308, + "Ġthrowing": 18309, + "Ġdiesel": 18310, + "ĠStrategies": 18311, 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18466, + "ĠAboriginal": 18467, + "Ġbeautifully": 18468, + "Ġcredited": 18469, + "ĠïĤ": 18470, + "FAULT": 18471, + "Ġcabinet": 18472, + "Ġbleeding": 18473, + "Ġslee": 18474, + "Ġenzyme": 18475, + "Ġcumulative": 18476, + "European": 18477, + "Tri": 18478, + "Tensor": 18479, + "^*": 18480, + "eu": 18481, + "frequency": 18482, + "Ġib": 18483, + "Ġbeds": 18484, + "Ġtoll": 18485, + "ilis": 18486, + "ĠWoman": 18487, + "Ġspanning": 18488, + "Ġterr": 18489, + "Ġsword": 18490, + "ĠPolynomial": 18491, + "Ġauthorized": 18492, + "metry": 18493, + "Ġdarker": 18494, + "Ġcollisions": 18495, + "Simplifying": 18496, + "ĠBCE": 18497, + "ĠNaval": 18498, + "Ġvulnerability": 18499, + "Ġparadox": 18500, + "Ġneighbourhood": 18501, + "ĠIsaac": 18502, + "Ġarthritis": 18503, + "Food": 18504, + "Press": 18505, + "houses": 18506, + "oors": 18507, + "ä¼": 18508, + "Ġtbsp": 18509, + "Ġsink": 18510, + "Ġcues": 18511, + "stage": 18512, + "vectors": 18513, + "Ġyeast": 18514, + "Ġunicode": 18515, + "ĠKos": 18516, + "ĠKind": 18517, + "1950": 18518, + "ĠReference": 18519, + "Ġentropy": 18520, + "ashing": 18521, + "Context": 18522, + "Ġextraction": 18523, + "Ġduo": 18524, + "Ġracism": 18525, + "Ġ1904": 18526, + "Ġmastering": 18527, + "ĠAttribute": 18528, + "ĠRobinson": 18529, + "Ġevolutionary": 18530, + "sorted": 18531, + "ĠBuddhism": 18532, + "Elect": 18533, + "jango": 18534, + "say": 18535, + "arctan": 18536, + "Ġinvert": 18537, + "ĠTell": 18538, + "cht": 18539, + "ĠMaced": 18540, + "ĠPra": 18541, + "ĠPHP": 18542, + "ĠBear": 18543, + "ĠEli": 18544, + "ĠNat": 18545, + "nsic": 18546, + "anners": 18547, + "Ġskull": 18548, + "ĠButter": 18549, + "ecution": 18550, + "Ġpointer": 18551, + "-------": 18552, + "Ġiterator": 18553, + "Ġceiling": 18554, + "Ġdownloaded": 18555, + "Ġdrove": 18556, + "ĠPlanet": 18557, + "Ġrewarding": 18558, + "ĠMunich": 18559, + "Ġinduced": 18560, + "ÑĨи": 18561, + "Alternatively": 18562, + "ĠKurdistan": 18563, + "BR": 18564, + "Towns": 18565, + "Äĥ": 18566, + "Ġthir": 18567, + "estinal": 18568, + "ĠStream": 18569, + "ĠVI": 18570, + "ĠArc": 18571, + "ĠLeban": 18572, + "Ġpassive": 18573, + "}}}{": 18574, + "Ġactivation": 18575, + "Ġdevelopmental": 18576, + "Ġlowercase": 18577, + "Const": 18578, + "Ġcrosses": 18579, + "Ġinvestigated": 18580, + "ĠSchol": 18581, + "ABLE": 18582, + "ĠUsers": 18583, + "Order": 18584, + "irtual": 18585, + "ĠSTEM": 18586, + "ĠRailroad": 18587, + "ĠSynd": 18588, + "Customized": 18589, + "Ġdisputes": 18590, + "Cle": 18591, + "Distance": 18592, + "mill": 18593, + "Ġ....": 18594, + "raits": 18595, + "ĠCleveland": 18596, + "ĠPA": 18597, + "ĠRNA": 18598, + "ptical": 18599, + "ĠIniti": 18600, + "Ġ'--": 18601, + "}$$.": 18602, + "Ġexpense": 18603, + "ĠValues": 18604, + "Ġmachinery": 18605, + "Ġwidget": 18606, + "Ġvalidity": 18607, + "³³³³³³³": 18608, + "Ġconcentrate": 18609, + "Ġannouncement": 18610, + "ĠHigher": 18611, + "Ġwarrant": 18612, + "Har": 18613, + "Ma": 18614, + "Speed": 18615, + "`)": 18616, + "fan": 18617, + "polit": 18618, + "syn": 18619, + "Ġdowns": 18620, + "rokes": 18621, + "Ġhate": 18622, + "Ġaloud": 18623, + "ĠDrive": 18624, + "oping": 18625, + "ĠLot": 18626, + "ĠLate": 18627, + "ĠLeft": 18628, + "Ġrug": 18629, + "renn": 18630, + "Ġinviting": 18631, + "exceptions": 18632, + "Ġinsulation": 18633, + "Ġlawn": 18634, + "ĠEmploy": 18635, + "ĠGuy": 18636, + "ĠAmsterdam": 18637, + "Ġcalc": 18638, + "ĠLaTeX": 18639, + "1985": 18640, + "Ġfiltering": 18641, + "Ġnucleus": 18642, + "ĠArgentine": 18643, + "ĠStanford": 18644, + "inosaur": 18645, + "Ġprestigious": 18646, + "Ġfranchise": 18647, + "$).": 18648, + ".),": 18649, + "Air": 18650, + "Know": 18651, + "Pi": 18652, + "Po": 18653, + "hn": 18654, + "ĭħ": 18655, + "rev": 18656, + "Ġhurricane": 18657, + "Ġgates": 18658, + "ĠSad": 18659, + "ĠSierra": 18660, + "ĠWang": 18661, + "ĠRy": 18662, + "Ġlearns": 18663, + "raced": 18664, + "atha": 18665, + "xty": 18666, + "1979": 18667, + "Ġremoves": 18668, + "private": 18669, + "psy": 18670, + "ARS": 18671, + "ĠDisorder": 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"Ġvisibility": 18724, + "Ġposter": 18725, + "unda": 18726, + "Ġprescribed": 18727, + "bums": 18728, + "ÑĢÑĥ": 18729, + "Ġindicator": 18730, + "atterns": 18731, + "Ġdamaging": 18732, + "Ġequivalence": 18733, + "overset": 18734, + "Ġcompatibility": 18735, + "Ġmarginalized": 18736, + "ĠBengal": 18737, + "Cam": 18738, + "Fun": 18739, + "Four": 18740, + "Moths": 18741, + "Spe": 18742, + "turn": 18743, + "erated": 18744, + "Ġcipher": 18745, + "rika": 18746, + "allic": 18747, + "Ġdiscontin": 18748, + "ritious": 18749, + "Ġprone": 18750, + "Ġspecifies": 18751, + "Ġmodification": 18752, + "ĠCommented": 18753, + "ructive": 18754, + "helm": 18755, + "Ġembry": 18756, + "Ġrental": 18757, + "ĠIncorpor": 18758, + "varphi": 18759, + "ĠVegas": 18760, + "ĠEssay": 18761, + "Ġpuede": 18762, + "subseteq": 18763, + "Ġdeficiency": 18764, + "Ġsturdy": 18765, + "category": 18766, + "lings": 18767, + "phe": 18768, + "ÂĢ": 18769, + "å¹": 18770, + "Ġreass": 18771, + "ĠMaj": 18772, + "ĠPublished": 18773, + "ĠKon": 18774, + "'][": 18775, + "ĠTeaching": 18776, + "Ġinfants": 18777, + "Ġswelling": 18778, + "umbent": 18779, + "ĠPerfect": 18780, + "prep": 18781, + "circle": 18782, + "ĠBaby": 18783, + "ovakia": 18784, + "lia": 18785, + "mith": 18786, + "nas": 18787, + "Ġmud": 18788, + "Ġladder": 18789, + "ĠPret": 18790, + "emen": 18791, + "ĠGrey": 18792, + "Ġshades": 18793, + "Ġcoh": 18794, + "Ġfolklore": 18795, + "Ġdecode": 18796, + "Ġpatent": 18797, + "Ġprofic": 18798, + "Ġdelim": 18799, + "astery": 18800, + "Ġprede": 18801, + "Ġstandardized": 18802, + "Ġoccurrences": 18803, + "Ġvegetarian": 18804, + "Ġinformal": 18805, + "ĠApplied": 18806, + "ĠMetropolitan": 18807, + "Ġbedroom": 18808, + "Ġmortgage": 18809, + "Ġpronouns": 18810, + "Ġaquatic": 18811, + "ĠEmeritus": 18812, + "Buildings": 18813, + "Russian": 18814, + "Ġtoilet": 18815, + "Ġtastes": 18816, + "'$": 18817, + "Flor": 18818, + "San": 18819, + "cancel": 18820, + "hours": 18821, + "omo": 18822, + "ĠAIDS": 18823, + "security": 18824, + "Ġcanc": 18825, + "ellation": 18826, + "except": 18827, + "ontally": 18828, + "encers": 18829, + "Ġsummit": 18830, + "ĠAddition": 18831, + "Ġpatches": 18832, + "Ġpasswords": 18833, + "Ġnonprofit": 18834, + "ĠParticip": 18835, + "ĠLaplace": 18836, + "Ġsilk": 18837, + "bourg": 18838, + "ĠMadison": 18839, + "ĠLimit": 18840, + "Difficulty": 18841, + "keeping": 18842, + "Average": 18843, + "Hen": 18844, + "las": 18845, + "lined": 18846, + "video": 18847, + "Ġnaming": 18848, + "Ġgerm": 18849, + "ortic": 18850, + "Ġkiller": 18851, + "Ġresume": 18852, + "Ġtran": 18853, + "ysical": 18854, + "Ġ1865": 18855, + "ĠComics": 18856, + "Ġmemoir": 18857, + "linewidth": 18858, + "Ġfrag": 18859, + "âĪŀ": 18860, + "Ġcrossed": 18861, + "Ġroller": 18862, + "writers": 18863, + "Ġsuspected": 18864, + "Ġknots": 18865, + "Ġmiscon": 18866, + "League": 18867, + "Ġrenewed": 18868, + "Moreover": 18869, + "ĠPopulation": 18870, + "ocaust": 18871, + "Ġpermutations": 18872, + "Ġsnapshot": 18873, + "ĠCompanies": 18874, + "=$": 18875, + "cert": 18876, + "fram": 18877, + "{-\\": 18878, + "erion": 18879, + "asci": 18880, + "ĠFREE": 18881, + "ĠEug": 18882, + "application": 18883, + "avas": 18884, + "Ġ'_": 18885, + "atories": 18886, + "Ġmilit": 18887, + "Ġairplane": 18888, + "zegov": 18889, + "ĠManit": 18890, + "ĠMathematic": 18891, + "ĠHealthy": 18892, + "Ġaccepting": 18893, + "Ġtransported": 18894, + "Ġlatitude": 18895, + "Ġadjusted": 18896, + "ĠAttempt": 18897, + "ĠDenver": 18898, + "Ġspinach": 18899, + "Ġspinning": 18900, + "Ġvenues": 18901, + "Ġrendering": 18902, + "\"])": 18903, + "'}": 18904, + "Sal": 18905, + "Ur": 18906, + "buck": 18907, + "vm": 18908, + "inis": 18909, + "Ġane": 18910, + "Ġbip": 18911, + "Ġlap": 18912, + "illery": 18913, + "Ġsuited": 18914, + "Ġkings": 18915, + "ĠVeter": 18916, + "convert": 18917, + "Ġpeel": 18918, + "Ġinterfaces": 18919, + "Ġdelays": 18920, + "Ġbreeds": 18921, + "оÑģ": 18922, + "control": 18923, + "Ġgasoline": 18924, + "1984": 18925, + "Ġtraces": 18926, + "ĠReviews": 18927, + "Ġdelayed": 18928, + "Ġdrainage": 18929, + "Ġfavourite": 18930, + "none": 18931, + "å°": 18932, + "Ġay": 18933, + "ivan": 18934, + "Ġunhealthy": 18935, + "Ġjaw": 18936, + "ĠStorm": 18937, + "ĠCho": 18938, + "Ġambit": 18939, + "Ġeverybody": 18940, + "ĠArithmetic": 18941, + "Ġrestriction": 18942, + "Ġimpactful": 18943, + "âĪ´": 18944, + "ĠComprehens": 18945, + "unicode": 18946, + "ĠActive": 18947, + "}_{\\": 18948, + "itcher": 18949, + "Record": 18950, + "Pan": 18951, + "Present": 18952, + "UC": 18953, + "cover": 18954, + "anne": 18955, + "Ġhints": 18956, + "ĠSA": 18957, + "igion": 18958, + "ĠCrown": 18959, + "adic": 18960, + "istle": 18961, + "Ġconferences": 18962, + "ĠGate": 18963, + "Ġshiny": 18964, + "ĠVic": 18965, + "Ġexpend": 18966, + "Ġurgent": 18967, + "Ġillumin": 18968, + "ĠÂłĠ": 18969, + "Ġdestinations": 18970, + "imentary": 18971, + "Ġtimely": 18972, + "ĠGetting": 18973, + "Ġfatal": 18974, + "Ġseniors": 18975, + "ĠTournament": 18976, + "Academ": 18977, + "Central": 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+ "attribute": 19029, + "Ġtransforms": 19030, + "ĠAddress": 19031, + "LECT": 19032, + "Ġroutines": 19033, + "Ġbelonged": 19034, + "Ġïģ": 19035, + "Ġmelted": 19036, + "expression": 19037, + "ratio": 19038, + "Ġrecursively": 19039, + "Ġprisoners": 19040, + "ĠSerbian": 19041, + "coordinates": 19042, + "Ġacknowledging": 19043, + "Ġprivilege": 19044, + "ĠHudson": 19045, + "Ġhtml": 19046, + "<=": 19047, + "PRO": 19048, + "counter": 19049, + "tas": 19050, + "Ġcaut": 19051, + "oux": 19052, + "etically": 19053, + "ĠCelebr": 19054, + "andal": 19055, + "tees": 19056, + "ĠGary": 19057, + "Ġ\"/": 19058, + "ĠVik": 19059, + "Ġcommod": 19060, + "Ġregistry": 19061, + "108": 19062, + "Thomas": 19063, + "Ġeditors": 19064, + "Ġdownward": 19065, + "Ġ170": 19066, + "Ġboiling": 19067, + "Ġaccountability": 19068, + "ĠNotation": 19069, + "Ġemphasized": 19070, + "Ġdiagnose": 19071, + "ĠJulian": 19072, + "ĠAnti": 19073, + "ĠRichmond": 19074, + "ĠStatistical": 19075, + "ĠLegend": 19076, + "ĠIranian": 19077, + 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"Mac": 19280, + "OB": 19281, + "_(": 19282, + "kit": 19283, + "tk": 19284, + "woman": 19285, + "Ġpub": 19286, + "Ġho": 19287, + "ĠTru": 19288, + "ĠDallas": 19289, + "ĠNiger": 19290, + "Ġmeats": 19291, + "ĊĊĠĊ": 19292, + "Ġspheres": 19293, + "1976": 19294, + "1972": 19295, + "Ġvariants": 19296, + "Ġshoulders": 19297, + "Ġtransit": 19298, + "Ġaviation": 19299, + "Week": 19300, + "Ġmarking": 19301, + "Ġquestioning": 19302, + ")^(": 19303, + "ATA": 19304, + "Ġmindful": 19305, + "ĠHerzegovina": 19306, + "Ġcelebrations": 19307, + "Ġupdating": 19308, + "Ġscripts": 19309, + "ĠVisit": 19310, + "Ġswitching": 19311, + "ĠPublishing": 19312, + "Ġhungry": 19313, + "Challenge": 19314, + "footballer": 19315, + "prom": 19316, + "|$": 19317, + "Ġiv": 19318, + "Ġ}$$": 19319, + "ĠAld": 19320, + "ĠFant": 19321, + "ocese": 19322, + "Ġintimate": 19323, + "Ġadul": 19324, + "Ġreproduction": 19325, + "parameter": 19326, + "Ġtempt": 19327, + "ĠAlexand": 19328, + "Ġtriggered": 19329, + "Ġdiamond": 19330, + "ĠSalv": 19331, + "Ġtalents": 19332, + "ĠHallow": 19333, + "ĠOriginal": 19334, + "ĠDragon": 19335, + "Help": 19336, + "President": 19337, + "Ġinertia": 19338, + "Business": 19339, + "joint": 19340, + "many": 19341, + "Ġfame": 19342, + "arb": 19343, + "uli": 19344, + "ĠMB": 19345, + "ĠRank": 19346, + "ĠGolf": 19347, + "ĠKol": 19348, + "velt": 19349, + "ĠVR": 19350, + "ĠChron": 19351, + "Ġposes": 19352, + "Ġplayground": 19353, + "Project": 19354, + "ĠSpot": 19355, + "ĠFran": 19356, + "Ġlifes": 19357, + "super": 19358, + "ĠJulia": 19359, + "ĠTypically": 19360, + "Ġsprings": 19361, + "以": 19362, + "ĠJimmy": 19363, + "ĠBernard": 19364, + "ĠGrowth": 19365, + "Local": 19366, + "Na": 19367, + "NAME": 19368, + "bast": 19369, + "mile": 19370, + "voc": 19371, + "yll": 19372, + "ĠTow": 19373, + "ĠMoses": 19374, + "ĠPent": 19375, + "ĠBaltimore": 19376, + "Ġorn": 19377, + "ĠRice": 19378, + "Ġunde": 19379, + "astically": 19380, + "Ġdisest": 19381, + "web": 19382, + "Ġmetre": 19383, + "ĠBeyond": 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19488, + "Ġ1895": 19489, + "Ġtransplant": 19490, + "ĠAdult": 19491, + "ĠConservative": 19492, + "Ġcarrier": 19493, + "Ġdonated": 19494, + "playing": 19495, + "Ġ255": 19496, + "ascal": 19497, + "ĠWarren": 19498, + "ĠPrevious": 19499, + "à¸Ļ": 19500, + "ĠExpression": 19501, + "ĠPowerPoint": 19502, + "ĠMurray": 19503, + "Ġmodulus": 19504, + "Political": 19505, + "ĠWrestling": 19506, + "!$": 19507, + "Ġtightly": 19508, + "atra": 19509, + "Ġwilderness": 19510, + "rared": 19511, + "ĠSoul": 19512, + "ĠChel": 19513, + "âĢ³": 19514, + "Ġexcluded": 19515, + "ĠEra": 19516, + "ĠEdd": 19517, + "ounding": 19518, + "cluster": 19519, + "Ġcompress": 19520, + "Ġpossession": 19521, + "Ġperformers": 19522, + "player": 19523, + "ĠBlues": 19524, + "Ġswap": 19525, + "ĠContents": 19526, + "Ġcamping": 19527, + "ĠBaron": 19528, + "ĠLaws": 19529, + "ör": 19530, + "Ġjournalists": 19531, + "Ġ1909": 19532, + "amilies": 19533, + "Similar": 19534, + "Ġhorizontally": 19535, + "Ġpulse": 19536, + "ĠLogic": 19537, + "ĠCrime": 19538, + "ĠVariable": 19539, + "ĠHindi": 19540, + "Super": 19541, + "ĠNorman": 19542, + "Ġtrajectory": 19543, + "Television": 19544, + "Ġtapestry": 19545, + "asgow": 19546, + "SH": 19547, + "kn": 19548, + "zh": 19549, + "Ġids": 19550, + "Ġbins": 19551, + "elian": 19552, + "aments": 19553, + "ĠCreat": 19554, + "Ġstyl": 19555, + "ĠWard": 19556, + "ĠWonder": 19557, + "ĠFill": 19558, + "ĠRand": 19559, + "ppings": 19560, + "feine": 19561, + "achment": 19562, + "consum": 19563, + "Ġtrunc": 19564, + "Ġbackend": 19565, + "Ġbackdrop": 19566, + "(\"%": 19567, + "ĠCooper": 19568, + "Ġ270": 19569, + "Ġconditioning": 19570, + "Ġhomeless": 19571, + "Ġrailroad": 19572, + "ĠIdentifying": 19573, + "ĠSafe": 19574, + "Ġ1897": 19575, + "Ġcricketers": 19576, + "ĠEthiop": 19577, + "ĠRomans": 19578, + "ĠDatabase": 19579, + "ĠUganda": 19580, + "DI": 19581, + "Ever": 19582, + "sym": 19583, + "sleep": 19584, + "æ³": 19585, + "Ġpneum": 19586, + "Ġbachelor": 19587, + "Ġdub": 19588, + "Ġdwar": 19589, + "etta": 19590, + "ĠTool": 19591, + "Ġgem": 19592, + "ĠSara": 19593, + "ĠPenn": 19594, + "Ġunt": 19595, + "Ġunfor": 19596, + "ĠKle": 19597, + "phis": 19598, + "Ġgoogle": 19599, + "Probability": 19600, + "Ġextinction": 19601, + "Ġmultiplic": 19602, + "Ġorganizational": 19603, + "ĠParks": 19604, + "Ġjourneys": 19605, + "ĠMinor": 19606, + "Ġholy": 19607, + "Ġdoubled": 19608, + "Ġdissolved": 19609, + "Ġeliminating": 19610, + "direction": 19611, + "aty": 19612, + "Ġfonts": 19613, + "ĠIgn": 19614, + "ĠCSS": 19615, + "kee": 19616, + "aca": 19617, + "Ġperceive": 19618, + "Ġcreator": 19619, + "Ġbloom": 19620, + "Ġremed": 19621, + "ĠFrances": 19622, + "Ġspecialists": 19623, + "Ġphysiological": 19624, + "Ġcolleague": 19625, + "oosevelt": 19626, + "Ġoneself": 19627, + "Ġcandles": 19628, + "Ġoptimized": 19629, + "Ġfreel": 19630, + "Ġpumpkin": 19631, + "ĠCharlotte": 19632, + "Ġmicrow": 19633, + "ĠChairman": 19634, + "ivodeship": 19635, + "MR": 19636, + "[[": 19637, + "Ġctx": 19638, + "Ġboring": 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"generate": 19691, + "Ġmentally": 19692, + "Matrix": 19693, + "ĠContinue": 19694, + "pieces": 19695, + "ĠEffective": 19696, + "Ġsacrifice": 19697, + "Ġcontaminated": 19698, + "Ġtremend": 19699, + "ĠJupiter": 19700, + "Sigma": 19701, + "tensor": 19702, + "ïĥ": 19703, + "ĠâĢĻ": 19704, + "Ġtune": 19705, + "initions": 19706, + "anese": 19707, + "itate": 19708, + "ĠCot": 19709, + "secret": 19710, + "odia": 19711, + "Ġexcer": 19712, + "ĠRect": 19713, + "Ġ-(": 19714, + "ĠJoint": 19715, + "ĠYorkshire": 19716, + "Ingredients": 19717, + "Ġtraded": 19718, + "Ġblending": 19719, + "bersecurity": 19720, + "ĠWeather": 19721, + "Ġл": 19722, + "ĠPlants": 19723, + "Ġheadaches": 19724, + "ĠServe": 19725, + "White": 19726, + "Ġuri": 19727, + "Ġopposing": 19728, + "interval": 19729, + "film": 19730, + "ä¸Ń": 19731, + "Ġradioactive": 19732, + "ĠVenice": 19733, + "Ġtravelling": 19734, + "Ġcontroversy": 19735, + "ĠConfederate": 19736, + "Ġsugars": 19737, + "/\\": 19738, + "WA": 19739, + "govern": 19740, + 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