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Model: GuminiResearch/Gumini-1.5B-Base Source: Original Platform
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README.md
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README.md
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---
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---
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license: other
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license_name: qwen-research
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license_link: https://huggingface.co/Qwen/Qwen2.5-3B/blob/main/LICENSE
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library_name: transformers
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language:
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- ko
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- en
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tags:
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- text-generation
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- korean
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- bilingual
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- qwen2
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- built-with-qwen
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- inheritune
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- continued-pretraining
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base_model: Qwen/Qwen2.5-3B
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datasets:
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- HuggingFaceFW/fineweb-edu
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- uonlp/CulturaX
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- wikimedia/wikipedia
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pipeline_tag: text-generation
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---
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# 🐻 Gumini-1.5B (구미니)
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<p align="center">
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<img src="https://img.shields.io/badge/Parameters-1.54B-blue" style="display:inline-block; margin-right:6px;" />
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<img src="https://img.shields.io/badge/Layers-16-green" style="display:inline-block; margin-right:6px;" />
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<img src="https://img.shields.io/badge/Tokens-3.14B-red" style="display:inline-block; margin-right:6px;" />
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<img src="https://img.shields.io/badge/Languages-Korean%20%7C%20English-orange" style="display:inline-block; margin-right:6px;" />
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<img src="https://img.shields.io/badge/Built%20with-Qwen-purple" style="display:inline-block; margin-right:6px;" />
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</p>
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<p align="center">
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<a href="https://linkedin.com/in/devgumin" target="_blank">
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<img src="https://img.shields.io/badge/LinkedIn-Gumin%20Kwon-0A66C2?logo=linkedin&logoColor=white" style="display:inline-block; margin-right:6px;" />
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</a>
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<a href="https://x.com/Gumini_Research" target="_blank">
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<img src="https://img.shields.io/badge/X-@Gumini__Research-black?logo=x&logoColor=white" style="display:inline-block; margin-right:6px;" />
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</a>
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<a href="https://www.instagram.com/gumini_research/" target="_blank">
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<img src="https://img.shields.io/badge/Instagram-gumini__research-E4405F?logo=instagram&logoColor=white" style="display:inline-block;" />
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</a>
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</p>
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<p align="center"><b>Built with Qwen</b></p>
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> **5,700× less data, better performance.**
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> Gumini-1.5B achieves Korean PPL 8.49 with only 3.14B tokens, outperforming Qwen-1.5B (18T tokens, PPL 8.84).
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## 🔥 Key Results
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| Model | Params | Training Tokens | Korean PPL ↓ | Rank |
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|-------|--------|-----------------|--------------|------|
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| Qwen-2.5-7B | 7.62B | 18T | 6.39 | #1 |
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| Gemma-2B | 2.0B | 2T | 8.15 | #2 |
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| **Gumini-1.5B (Ours)** | **1.54B** | **3.14B** | **8.49** | **#3** |
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| Qwen-2.5-1.5B | 1.5B | 18T | 8.84 | #4 |
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||||
| Llama-3.2-3B | 3.21B | 9T | 9.47 | #5 |
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| EXAONE-3.5-2.4B | 2.4B | ~6.5T | 9.80 | #6 |
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## 📊 Data Efficiency
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| vs Model | Their Tokens | Gumini Tokens | Efficiency |
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|----------|--------------|---------------|------------|
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| Qwen-2.5 | 18T | 3.14B | **5,732×** less |
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| Llama-3.2 | 9T | 3.14B | **2,866×** less |
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| EXAONE-3.5 | ~6.5T | 3.14B | **~2,070×** less |
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## Model Description
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**Gumini-1.5B** (구미니) is a bilingual Korean-English **base language model** trained using the *Inheritune* methodology. Starting from **Qwen 2.5 3B**, the model progressively grew from 10 to 16 layers through 7 training stages, with **~3.14B tokens** of continued pretraining on a Korean–English mixed corpus.
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> This is a **BASE model**, not instruction-tuned.
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> It produces text continuations rather than conversational responses.
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## Training Highlights
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### Inheritune Progressive Layer Growing
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```
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||||
Stage 0: 10 layers (1.08B) → 393M tokens
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Stage 1: 11 layers (1.15B) → 393M tokens
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Stage 2: 12 layers (1.23B) → 393M tokens
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Stage 3: 13 layers (1.31B) → 393M tokens
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Stage 4: 14 layers (1.39B) → 393M tokens
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Stage 5: 15 layers (1.47B) → 393M tokens
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Stage 6: 16 layers (1.54B) → 786M tokens ⭐
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────────────────────────────────────────────
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Total: 16 layers, 1.54B params, ~3.14B tokens
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```
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## Model Details
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| Attribute | Value |
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|-----------|-------|
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| **Researcher** | [Gumin Kwon (권구민)](https://linkedin.com/in/devgumin) |
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| **Base Model** | Qwen/Qwen2.5-3B |
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| **Training Method** | Inheritune + Pretraining |
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||||
| **Parameters** | 1.54B |
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| **Layers** | 16 |
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| **Hidden Size** | 2048 |
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| **Attention Heads** | 16 |
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| **KV Heads** | 2 (GQA) |
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| **Vocab Size** | 151,936 |
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| **Total Tokens Trained** | ~3.14B |
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| **Precision** | BF16 |
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## Training Data
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| Dataset | Language | Weight |
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||||
|---------|----------|--------|
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| FineWeb-Edu (sample-10BT) | English | 20% |
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| CulturaX-ko | Korean | 50% |
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| Wikipedia-ko | Korean | 30% |
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**Total: 80% Korean, 20% English**
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### Optimization
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```yaml
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learning_rate: 2.0e-4
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weight_decay: 0.1
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lr_scheduler: cosine
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warmup_ratio: 0.01
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max_grad_norm: 1.0
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precision: bf16
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gradient_checkpointing: true
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attention: PyTorch SDPA (Flash Attention)
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```
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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model = AutoModelForCausalLM.from_pretrained(
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"GuminiResearch/Gumini-1.5B-Base",
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torch_dtype=torch.bfloat16,
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device_map="auto"
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)
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tokenizer = AutoTokenizer.from_pretrained("GuminiResearch/Gumini-1.5B-Base")
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prompt = "저는 구미니입니다."
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inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
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outputs = model.generate(
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**inputs,
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max_new_tokens=200,
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repetition_penalty=1.2,
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do_sample=True,
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temperature=0.7,
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top_p=0.9,
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)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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### Using Pipeline
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```python
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from transformers import pipeline
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generator = pipeline(
|
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"text-generation",
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model="GuminiResearch/Gumini-1.5B-Base",
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torch_dtype="bfloat16",
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device_map="auto",
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)
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output = generator(
|
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"저는 구미니입니다.",
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max_new_tokens=100,
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temperature=0.7,
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repetition_penalty=1.2,
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)
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print(output[0]["generated_text"])
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```
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## Evaluation
|
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|
||||
| Stage | Layers | Parameters |
|
||||
|-------|--------|------------|
|
||||
| 0 | 10 | 1.08B | - | - |
|
||||
| 5 | 15 | 1.47B | - | - |
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||||
| **6** | **16** | **1.54B** |
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## Model Family
|
||||
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||||
| Model | Layers | Params | Tokens | Status |
|
||||
|-------|--------|--------|--------|--------|
|
||||
| Gumini-1B | 10 | 1.08B | 393M | ✅ Released |
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||||
| **Gumini-1.5B** | **16** | **1.54B** | **3.14B** | ✅ **This Model** |
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## Limitations
|
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- **Base model**: No instruction-tuning or safety alignment
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- **High repetition risk**: Use `repetition_penalty >= 1.2`
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- May generate **incorrect or outdated information**
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- Should not be used in **sensitive or safety-critical** contexts
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- Knowledge cutoff based on training data
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## License
|
||||
|
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### Qwen Research License (Non-Commercial)
|
||||
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This model is **Built with Qwen** and derived from Qwen 2.5 3B.
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```
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Qwen is licensed under the Qwen RESEARCH LICENSE AGREEMENT.
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Copyright (c) Alibaba Cloud. All Rights Reserved.
|
||||
```
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|
||||
**This model is for NON-COMMERCIAL / RESEARCH use only.**
|
||||
For commercial use, contact Alibaba Cloud.
|
||||
|
||||
## References
|
||||
|
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### Inheritune Paper
|
||||
```bibtex
|
||||
@inproceedings{Sanyal2024inheritune,
|
||||
title={Inheritune: Training Smaller Yet More Attentive Language Models},
|
||||
author={Sunny Sanyal and Ravid Shwartz-Ziv and Alexandros G. Dimakis and Sujay Sanghavi},
|
||||
year={2024},
|
||||
url={https://arxiv.org/abs/2404.08634}
|
||||
}
|
||||
```
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|
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### Qwen 2.5
|
||||
```bibtex
|
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@misc{qwen2.5,
|
||||
title={Qwen2.5: A Party of Foundation Models},
|
||||
author={Qwen Team},
|
||||
year={2024},
|
||||
url={https://qwenlm.github.io/blog/qwen2.5/}
|
||||
}
|
||||
```
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## Citation
|
||||
```bibtex
|
||||
@misc{gumini2025,
|
||||
title={Gumini-1.5B: Bilingual Korean-English Language Model via Inheritune},
|
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author={Gumin Kwon},
|
||||
year={2025},
|
||||
note={Built with Qwen. Trained with Inheritune progressive layer growing.},
|
||||
url={https://huggingface.co/GuminiResearch/Gumini-1.5B-Base}
|
||||
}
|
||||
```
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||||
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||||
## Author
|
||||
|
||||
**[Gumin Kwon (권구민)](https://linkedin.com/in/devgumin)**
|
||||
- LinkedIn: [linkedin.com/in/devgumin](https://linkedin.com/in/devgumin)
|
||||
- HuggingFace: [GuminiResearch](https://huggingface.co/GuminiResearch)
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||||
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||||
---
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||||
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<p align="center">
|
||||
<b>Built with Qwen</b><br>
|
||||
<i>Gumini - 작지만 똑똑한 AI</i>
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||||
</p>
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||||
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24
added_tokens.json
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added_tokens.json
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{
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"</tool_call>": 151658,
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"<tool_call>": 151657,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
|
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"<|object_ref_start|>": 151646,
|
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"<|quad_end|>": 151651,
|
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"<|quad_start|>": 151650,
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"<|repo_name|>": 151663,
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"<|video_pad|>": 151656,
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"<|vision_end|>": 151653,
|
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"<|vision_pad|>": 151654,
|
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"<|vision_start|>": 151652
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}
|
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54
chat_template.jinja
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chat_template.jinja
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{%- if tools %}
|
||||
{{- '<|im_start|>system\n' }}
|
||||
{%- if messages[0]['role'] == 'system' %}
|
||||
{{- messages[0]['content'] }}
|
||||
{%- else %}
|
||||
{{- 'You are a helpful assistant.' }}
|
||||
{%- endif %}
|
||||
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
||||
{%- for tool in tools %}
|
||||
{{- "\n" }}
|
||||
{{- tool | tojson }}
|
||||
{%- endfor %}
|
||||
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
||||
{%- else %}
|
||||
{%- if messages[0]['role'] == 'system' %}
|
||||
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- for message in messages %}
|
||||
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
||||
{%- elif message.role == "assistant" %}
|
||||
{{- '<|im_start|>' + message.role }}
|
||||
{%- if message.content %}
|
||||
{{- '\n' + message.content }}
|
||||
{%- endif %}
|
||||
{%- for tool_call in message.tool_calls %}
|
||||
{%- if tool_call.function is defined %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_call>\n{"name": "' }}
|
||||
{{- tool_call.name }}
|
||||
{{- '", "arguments": ' }}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{{- '}\n</tool_call>' }}
|
||||
{%- endfor %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- elif message.role == "tool" %}
|
||||
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
||||
{{- '<|im_start|>user' }}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_response>\n' }}
|
||||
{{- message.content }}
|
||||
{{- '\n</tool_response>' }}
|
||||
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|im_start|>assistant\n' }}
|
||||
{%- endif %}
|
||||
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config.json
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config.json
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||||
{
|
||||
"architectures": [
|
||||
"Qwen2ForCausalLM"
|
||||
],
|
||||
"attention_dropout": 0.0,
|
||||
"dtype": "bfloat16",
|
||||
"eos_token_id": 151643,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 2048,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 11008,
|
||||
"layer_types": [
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention"
|
||||
],
|
||||
"max_position_embeddings": 32768,
|
||||
"max_window_layers": 36,
|
||||
"model_type": "qwen2",
|
||||
"num_attention_heads": 16,
|
||||
"num_hidden_layers": 16,
|
||||
"num_key_value_heads": 2,
|
||||
"pad_token_id": 151643,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_scaling": null,
|
||||
"rope_theta": 1000000.0,
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": true,
|
||||
"transformers_version": "4.57.3",
|
||||
"use_cache": true,
|
||||
"use_mrope": false,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 151936
|
||||
}
|
||||
8
generation_config.json
Normal file
8
generation_config.json
Normal file
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"_from_model_config": true,
|
||||
"eos_token_id": [
|
||||
151643
|
||||
],
|
||||
"pad_token_id": 151643,
|
||||
"transformers_version": "4.57.3"
|
||||
}
|
||||
151388
merges.txt
Normal file
151388
merges.txt
Normal file
File diff suppressed because it is too large
Load Diff
3
model.safetensors
Normal file
3
model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:88daa4e232d85666c9ce390460b8e301183a45940f898d342a4c4c9cd95c6c2e
|
||||
size 3088819832
|
||||
3
optimizer.pt
Normal file
3
optimizer.pt
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:1e8d7b0a24e45e8b6fb2f4569efcfd7755956df6b53058ba4bb81446a95a7c90
|
||||
size 6177763022
|
||||
3
rng_state.pth
Normal file
3
rng_state.pth
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:ecefbb3f17bb76b6655eb0157c98b5287c17fa4b4c72a6b9068b0823ce9fd18d
|
||||
size 14244
|
||||
3
scheduler.pt
Normal file
3
scheduler.pt
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:c7b5bf190dc871967c45091d9f1ab233b2d2ed62baca21fee5dfedb5718ffa5d
|
||||
size 1064
|
||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"eos_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
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|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:694f1174c5bdf94e2fc50796c0f1733a5a3945ff110b0dfa40ea0701cc9c9c42
|
||||
size 11422176
|
||||
208
tokenizer_config.json
Normal file
208
tokenizer_config.json
Normal file
@@ -0,0 +1,208 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
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|
||||
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|
||||
"151646": {
|
||||
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|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
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|
||||
"151648": {
|
||||
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|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"151649": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"151653": {
|
||||
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|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"151654": {
|
||||
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|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"151655": {
|
||||
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|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"151657": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"additional_special_tokens": [
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"<|box_start|>",
|
||||
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|
||||
"<|quad_start|>",
|
||||
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|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
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|
||||
"eos_token": "<|endoftext|>",
|
||||
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|
||||
"extra_special_tokens": {},
|
||||
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|
||||
"pad_token": "<|endoftext|>",
|
||||
"padding_side": "right",
|
||||
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|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
7066
trainer_state.json
Normal file
7066
trainer_state.json
Normal file
File diff suppressed because it is too large
Load Diff
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:15f120b71515be3b82fb6f51192ee4ed61f5e10b5471d16218fe46a119396880
|
||||
size 5432
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user