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Model: GuminiResearch/Gumini-1B-Base Source: Original Platform
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54
LICENSE
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54
LICENSE
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|
||||
Qwen RESEARCH LICENSE AGREEMENT
|
||||
|
||||
Release Date: September 19, 2024
|
||||
|
||||
By clicking to agree or by using or distributing any portion or element of the Qwen Materials, you will be deemed to have recognized and accepted the content of this Agreement, which is effective immediately.
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||||
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1. Definitions
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a. This Qwen RESEARCH LICENSE AGREEMENT (this "Agreement") shall mean the terms and conditions for use, reproduction, distribution and modification of the Materials as defined by this Agreement.
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e. "Qwen" shall mean the large language models, and software and algorithms, consisting of trained model weights, parameters (including optimizer states), machine-learning model code, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by us.
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b. We may terminate this Agreement if you breach any of the terms or conditions of this Agreement. Upon termination of this Agreement, you must delete and cease use of the Materials. Sections 6 and 8 shall survive the termination of this Agreement.
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a. This Agreement and any dispute arising out of or relating to it will be governed by the laws of China, without regard to conflict of law principles, and the UN Convention on Contracts for the International Sale of Goods does not apply to this Agreement.
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b. The People s Courts in Hangzhou City shall have exclusive jurisdiction over any dispute arising out of this Agreement.
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9. Other Terms and Conditions
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a. Any arrangements, understandings, or agreements regarding the Material not stated herein are separate from and independent of the terms and conditions of this Agreement. You shall request a separate license from us, if you use the Materials in ways not expressly agreed to in this Agreement.
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37
NOTICE
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NOTICE
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NOTICE
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Gumini-1B
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Copyright (c) 2025 Gumin Kwon
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||||
========================================
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||||
Built with Qwen
|
||||
========================================
|
||||
|
||||
QWEN ATTRIBUTION
|
||||
----------------
|
||||
Qwen is licensed under the Qwen RESEARCH LICENSE AGREEMENT.
|
||||
Copyright (c) Alibaba Cloud. All Rights Reserved.
|
||||
|
||||
MODIFICATIONS MADE:
|
||||
- Reduced layers from 36 to 10 (inherited first 10 layers)
|
||||
- Continued training on Korean-English dataset (~393M tokens)
|
||||
- Added model identity information
|
||||
|
||||
This model is for NON-COMMERCIAL/RESEARCH purposes only.
|
||||
|
||||
========================================
|
||||
|
||||
INHERITUNE ATTRIBUTION (CC BY 4.0)
|
||||
----------------------------------
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||||
Training method from:
|
||||
"Inheritune: Training Smaller Yet More Attentive Language Models"
|
||||
Sanyal et al., 2024
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||||
https://arxiv.org/abs/2404.08634
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||||
|
||||
========================================
|
||||
|
||||
TRAINING DATA ATTRIBUTION
|
||||
-------------------------
|
||||
- FineWeb-Edu: ODC-By 1.0
|
||||
- CulturaX: CC BY 4.0
|
||||
- Wikipedia: CC BY-SA 3.0
|
||||
191
README.md
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191
README.md
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---
|
||||
license: other
|
||||
license_name: qwen-research
|
||||
license_link: https://huggingface.co/Qwen/Qwen2.5-3B/blob/main/LICENSE
|
||||
library_name: transformers
|
||||
language:
|
||||
- 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
|
||||
- built-with-qwen
|
||||
- continued-pretraining
|
||||
base_model: Qwen/Qwen2.5-3B
|
||||
datasets:
|
||||
- HuggingFaceFW/fineweb-edu
|
||||
- uonlp/CulturaX
|
||||
- wikimedia/wikipedia
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||||
pipeline_tag: text-generation
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||||
---
|
||||
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||||
# 🐻 Gumini-1B (구미니)
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||||
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||||
<p align="center">
|
||||
<img src="https://img.shields.io/badge/Parameters-1.08B-blue" style="display:inline-block; margin-right:6px;" />
|
||||
<img src="https://img.shields.io/badge/Layers-10-green" style="display:inline-block; margin-right:6px;" />
|
||||
<img src="https://img.shields.io/badge/Languages-Korean%20%7C%20English-orange" style="display:inline-block; margin-right:6px;" />
|
||||
<img src="https://img.shields.io/badge/Built%20with-Qwen-purple" style="display:inline-block; margin-right:6px;" />
|
||||
</p>
|
||||
|
||||
<p align="center">
|
||||
<a href="https://linkedin.com/in/devgumin" target="_blank">
|
||||
<img src="https://img.shields.io/badge/LinkedIn-Gumin%20Kwon-0A66C2?logo=linkedin&logoColor=white" style="display:inline-block; margin-right:6px;" />
|
||||
</a>
|
||||
|
||||
<a href="https://x.com/Gumini_Research" target="_blank">
|
||||
<img src="https://img.shields.io/badge/X-@Gumini__Research-black?logo=x&logoColor=white" style="display:inline-block; margin-right:6px;" />
|
||||
</a>
|
||||
|
||||
<a href="https://www.instagram.com/gumini_research/" target="_blank">
|
||||
<img src="https://img.shields.io/badge/Instagram-gumini__research-E4405F?logo=instagram&logoColor=white" style="display:inline-block;" />
|
||||
</a>
|
||||
</p>
|
||||
|
||||
<p align="center"><b>Built with Qwen</b></p>
|
||||
|
||||
## Model Description
|
||||
|
||||
**Gumini** (구미니) is a bilingual Korean-English **base language model** created by inheriting the first 10 layers of **Qwen 2.5 3B** using the *Inheritune* methodology, followed by **continued pretraining** on a Korean–English mixed corpus (~393M tokens).
|
||||
|
||||
> This is a **BASE model**, not instruction-tuned.
|
||||
> It produces text continuations rather than conversational responses.
|
||||
|
||||
## What We Modified
|
||||
|
||||
The original **Qwen 2.5 3B** model was modified as follows:
|
||||
|
||||
1. **Layer Inheritance (Inheritune)**
|
||||
- Inherited the first **10 transformer layers** out of 36
|
||||
- Reduced model size while preserving early linguistic abilities
|
||||
|
||||
2. **Pretraining**
|
||||
- Trained for **393M tokens** on a Korean–English dataset
|
||||
- Maintains base-model behavior (not SFT or instruction-tuning)
|
||||
|
||||
3. **Identity Injection**
|
||||
- Added system-level identity tokens for model conditioning
|
||||
|
||||
This model **inherits early layers from Qwen 2.5 3B** and is
|
||||
**retrained with progressive layer expansion using Inheritune** methodology.
|
||||
|
||||
## Model Details
|
||||
|
||||
| Attribute | Value |
|
||||
|-----------|-------|
|
||||
| **Researcher** | Gumin Kwon (권구민) |
|
||||
| **Base Model** | Qwen/Qwen2.5-3B |
|
||||
| **Training Method** | Inheritune + Pretraining |
|
||||
| **Parameters** | 1.08B |
|
||||
| **Layers** | 10 |
|
||||
| **Hidden Size** | 2048 |
|
||||
| **Attention Heads** | 16 |
|
||||
| **KV Heads** | 2 (GQA) |
|
||||
| **Vocab Size** | 151,936 |
|
||||
| **Tokens Trained** | 393M |
|
||||
|
||||
## Training Data
|
||||
|
||||
| Dataset | Language | Weight |
|
||||
|---------|----------|---------|
|
||||
| FineWeb-Edu | English | 20% |
|
||||
| CulturaX-ko | Korean | 50% |
|
||||
| Wikipedia-ko | Korean | 30% |
|
||||
---
|
||||
## Usage
|
||||
|
||||
```python
|
||||
from transformers import AutoModelForCausalLM, AutoTokenizer
|
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import torch
|
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|
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model = AutoModelForCausalLM.from_pretrained(
|
||||
"GuminiResearch/Gumini-1B-Base",
|
||||
torch_dtype=torch.bfloat16,
|
||||
device_map="auto"
|
||||
)
|
||||
tokenizer = AutoTokenizer.from_pretrained("GuminiResearch/Gumini-1B-Base")
|
||||
|
||||
prompt = "저는 구미니입니다."
|
||||
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
|
||||
outputs = model.generate(
|
||||
**inputs,
|
||||
max_new_tokens=100,
|
||||
repetition_penalty=1.2,
|
||||
do_sample=True,
|
||||
temperature=0.7
|
||||
)
|
||||
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
|
||||
```
|
||||
|
||||
```python
|
||||
from transformers import pipeline
|
||||
|
||||
generator = pipeline(
|
||||
"text-generation",
|
||||
model="GuminiResearch/Gumini-1B-Base",
|
||||
)
|
||||
|
||||
prompt = "저는 구미니입니다."
|
||||
output = generator(prompt, max_new_tokens=100, temperature=0.7, repetition_penalty=1.2)
|
||||
|
||||
print(output[0]["generated_text"])
|
||||
```
|
||||
---
|
||||
## Limitations
|
||||
|
||||
- **Base model**: no instruction-tuning or safety alignment
|
||||
- **High repetition risk**: use `repetition_penalty >= 1.2`
|
||||
- May generate **incorrect or outdated information**
|
||||
- Should not be used in **sensitive or safety-critical** contexts
|
||||
|
||||
## License
|
||||
|
||||
### Qwen Research License (Non-Commercial)
|
||||
|
||||
This model is **Built with Qwen** and derived from Qwen 2.5 3B.
|
||||
|
||||
```
|
||||
Qwen is licensed under the Qwen RESEARCH LICENSE AGREEMENT.
|
||||
Copyright (c) Alibaba Cloud. All Rights Reserved.
|
||||
```
|
||||
|
||||
**This model is for NON-COMMERCIAL / RESEARCH use only.**
|
||||
For commercial use, contact Alibaba Cloud.
|
||||
|
||||
### Inheritune Paper (CC BY 4.0)
|
||||
|
||||
```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}
|
||||
}
|
||||
```
|
||||
|
||||
## Citation
|
||||
|
||||
```bibtex
|
||||
@misc{gumini2025,
|
||||
title={Gumini-1B: Bilingual Language Model Built with Qwen via Inheritune},
|
||||
author={Gumin Kwon},
|
||||
year={2025},
|
||||
note={Built with Qwen},
|
||||
url={https://huggingface.co/GuminiResearch/Gumini-1B-Base}
|
||||
}
|
||||
```
|
||||
|
||||
## 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)
|
||||
|
||||
---
|
||||
|
||||
<p align="center">
|
||||
<b>Built with Qwen</b><br>
|
||||
<i>Gumini - 작지만 똑똑한 AI</i>
|
||||
</p>
|
||||
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_start|>": 151648,
|
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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|
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"<|quad_start|>": 151650,
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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
|
||||
}
|
||||
54
chat_template.jinja
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54
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 %}
|
||||
41
config.json
Normal file
41
config.json
Normal file
@@ -0,0 +1,41 @@
|
||||
{
|
||||
"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"
|
||||
],
|
||||
"max_position_embeddings": 32768,
|
||||
"max_window_layers": 36,
|
||||
"model_type": "qwen2",
|
||||
"num_attention_heads": 16,
|
||||
"num_hidden_layers": 10,
|
||||
"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:d11bf0f3fd8aba8e5a665960e04911c3faa4743fe59f11f7f290d9fbb72fe2ca
|
||||
size 2163887648
|
||||
3
optimizer.pt
Normal file
3
optimizer.pt
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:8c0e944183e9c023c91de634ac6489a78402ccf4689897da58e4ed7d1f28eacc
|
||||
size 4327854295
|
||||
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 sha256:718a0f3db00824213036a2c0441849791319b7d9cf189065873bb26a7020738e
|
||||
size 14645
|
||||
3
scheduler.pt
Normal file
3
scheduler.pt
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:ada16671df03ce2c4c7b2196578593f96e5a9638c91cc68f984858ec0e816498
|
||||
size 1465
|
||||
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,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"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,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151647": {
|
||||
"content": "<|object_ref_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151648": {
|
||||
"content": "<|box_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151649": {
|
||||
"content": "<|box_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151650": {
|
||||
"content": "<|quad_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"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|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|endoftext|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"padding_side": "right",
|
||||
"split_special_tokens": false,
|
||||
"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:b2fc7014f91544ab2fcc9d040dfb33fe70cc7b4f97efd394e4ccb8fc1eb66b0f
|
||||
size 5841
|
||||
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