Aspandiyar Nurimanov commited on
Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +17 -0
- BF16/Qolda-BF16.gguf +3 -0
- BF16/README.md +199 -0
- BF16/config.json +128 -0
- BF16/generation_config.json +7 -0
- BF16/merges.txt +0 -0
- BF16/special_tokens_map.json +27 -0
- BF16/tokenizer_config.json +308 -0
- BF16/vocab.json +0 -0
- IQ2_M/Qolda-IQ2_M.gguf +3 -0
- IQ3_XXS/Qolda-IQ3_XXS.gguf +3 -0
- IQ4_NL/Qolda-IQ4_NL.gguf +3 -0
- IQ4_NL/README.md +199 -0
- IQ4_NL/config.json +128 -0
- IQ4_NL/generation_config.json +7 -0
- IQ4_NL/merges.txt +0 -0
- IQ4_NL/special_tokens_map.json +27 -0
- IQ4_NL/tokenizer_config.json +308 -0
- IQ4_NL/vocab.json +0 -0
- IQ4_XS/Qolda-IQ4_XS.gguf +3 -0
- IQ4_XS/README.md +199 -0
- IQ4_XS/config.json +128 -0
- IQ4_XS/generation_config.json +7 -0
- IQ4_XS/merges.txt +0 -0
- IQ4_XS/special_tokens_map.json +27 -0
- IQ4_XS/tokenizer_config.json +308 -0
- IQ4_XS/vocab.json +0 -0
- Q2_K/Qolda-Q2_K.gguf +3 -0
- Q2_K/README.md +199 -0
- Q2_K/config.json +128 -0
- Q2_K/generation_config.json +7 -0
- Q2_K/merges.txt +0 -0
- Q2_K/special_tokens_map.json +27 -0
- Q2_K/tokenizer_config.json +308 -0
- Q2_K/vocab.json +0 -0
- Q3_K_M/Qolda-Q3_K_M.gguf +3 -0
- Q3_K_M/README.md +199 -0
- Q3_K_M/config.json +128 -0
- Q3_K_M/generation_config.json +7 -0
- Q3_K_M/merges.txt +0 -0
- Q3_K_M/special_tokens_map.json +27 -0
- Q3_K_M/tokenizer_config.json +308 -0
- Q3_K_M/vocab.json +0 -0
- Q3_K_S/Qolda-Q3_K_S.gguf +3 -0
- Q3_K_S/README.md +199 -0
- Q3_K_S/config.json +128 -0
- Q3_K_S/generation_config.json +7 -0
- Q3_K_S/merges.txt +0 -0
- Q3_K_S/special_tokens_map.json +27 -0
- Q3_K_S/tokenizer_config.json +308 -0
.gitattributes
CHANGED
|
@@ -36,3 +36,20 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 36 |
Qolda-F16.gguf filter=lfs diff=lfs merge=lfs -text
|
| 37 |
Qolda-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
|
| 38 |
Qolda-mmproj-F16.gguf filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 36 |
Qolda-F16.gguf filter=lfs diff=lfs merge=lfs -text
|
| 37 |
Qolda-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
|
| 38 |
Qolda-mmproj-F16.gguf filter=lfs diff=lfs merge=lfs -text
|
| 39 |
+
BF16/Qolda-BF16.gguf filter=lfs diff=lfs merge=lfs -text
|
| 40 |
+
IQ2_M/Qolda-IQ2_M.gguf filter=lfs diff=lfs merge=lfs -text
|
| 41 |
+
IQ3_XXS/Qolda-IQ3_XXS.gguf filter=lfs diff=lfs merge=lfs -text
|
| 42 |
+
IQ4_NL/Qolda-IQ4_NL.gguf filter=lfs diff=lfs merge=lfs -text
|
| 43 |
+
IQ4_XS/Qolda-IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
|
| 44 |
+
Q2_K/Qolda-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
|
| 45 |
+
Q3_K_M/Qolda-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
|
| 46 |
+
Q3_K_S/Qolda-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
|
| 47 |
+
Q4_0/Qolda-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
|
| 48 |
+
Q4_1/Qolda-Q4_1.gguf filter=lfs diff=lfs merge=lfs -text
|
| 49 |
+
Q4_K_M/Qolda-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
|
| 50 |
+
Q4_K_S/Qolda-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
|
| 51 |
+
Q5_K_M/Qolda-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
|
| 52 |
+
Q5_K_S/Qolda-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
|
| 53 |
+
Q6_K/Qolda-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
|
| 54 |
+
Q8_0/Qolda-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
|
| 55 |
+
TQ1_0/Qolda-TQ1_0.gguf filter=lfs diff=lfs merge=lfs -text
|
BF16/Qolda-BF16.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a67799076983cf3b8f28f8b56f99d3027445fc5eeac9944ba4800dfa72e06fab
|
| 3 |
+
size 8051285056
|
BF16/README.md
ADDED
|
@@ -0,0 +1,199 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- kk
|
| 4 |
+
- ru
|
| 5 |
+
- en
|
| 6 |
+
base_model:
|
| 7 |
+
- OpenGVLab/InternVL3_5-4B
|
| 8 |
+
pipeline_tag: image-text-to-text
|
| 9 |
+
---
|
| 10 |
+
[Қазақша](#кіріспе) [English](#introduction)
|
| 11 |
+
|
| 12 |
+
# Qolda
|
| 13 |
+
[](https://github.com/IS2AI/Qolda-deployment)
|
| 14 |
+
[](https://www.apache.org/licenses/LICENSE-2.0)
|
| 15 |
+
|
| 16 |
+
## Introduction
|
| 17 |
+
Built on top of InternVL3.5 and Qwen3, **Qolda** is a small vision-language model designed to operate in Kazakh, Russian, and English. The model has 4.3B parameters and comprises the InternViT-300M vision encoder and MLP Projector components from [InternVL3.5-4B](https://huggingface.co/OpenGVLab/InternVL3_5-4B), along with the [Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) language model. Model training was performed using the [InternVL framework](https://github.com/OpenGVLab/InternVL) 💙
|
| 18 |
+
|
| 19 |
+
The name "Qolda" reflects both its design and purpose in Kazakh: "in hand" (қолда) for its compact accessibility, and "to support" (қолдау) for its assistive nature.
|
| 20 |
+
|
| 21 |
+
## Evaluation Results
|
| 22 |
+
Evaluation was conducted separately for text-only and vision-language modalities. Qolda demonstrates significant performance improvements for Kazakh while maintaining comparable performance on Russian and English.
|
| 23 |
+
|
| 24 |
+
### Text Benchmarks
|
| 25 |
+
|
| 26 |
+
*Performance comparison on language tasks including MMLU, Winogrande, HellaSwag, ARC, GSM8K, and DROP.*
|
| 27 |
+
|
| 28 |
+
**Note:** The comparison below presents Qolda's performance against Qwen3-4B on **Kazakh** language benchmarks only. Evaluation results for additional models and performance on Russian and English will be added later.
|
| 29 |
+
|
| 30 |
+
| Model | Mode | Avg | MMLU | Winogrande | HellaSwag | ARC | GSM8K | DROP |
|
| 31 |
+
|-------|------|-----|------|------------|-----------|-----|-------|------|
|
| 32 |
+
| Qwen3-4B | Direct | 52.00 | 42.43 | 56.88 | 42.04 | 64.77 | 73.62 | 32.27 |
|
| 33 |
+
| Qwen3-4B | Think | 57.73 | 52.98 | 51.27 | 41.86 | 79.65 | 64.82 | 55.81 |
|
| 34 |
+
| Qolda | Direct | 58.77 | 46.55 | 56.37 | 55.75 | 73.62 | 63.50 | 56.84 |
|
| 35 |
+
| Qolda | Think | **71.64** | **64.56** | **70.54** | **57.70** | **89.99** | **79.47** | **67.59** |
|
| 36 |
+
|
| 37 |
+
### Vision Benchmarks
|
| 38 |
+
|
| 39 |
+
*Performance comparison on vision-language tasks including AI2D, MMStar, RealWorldQA, and KazakhOCR.*
|
| 40 |
+
|
| 41 |
+
**Note:** The comparison below presents Qolda's performance against InternVL3.5-4B on **Kazakh** vision-language benchmarks only. Evaluation results for additional models and performance on Russian and English will be added later.
|
| 42 |
+
|
| 43 |
+
| Model | Mode | Avg | AI2D | MMStar | RealWorldQA | KazakhOCR |
|
| 44 |
+
|-------|------|--------|--------|----------|---------------|-------------|
|
| 45 |
+
| InternVL3.5-4B | Direct | 42.23 | 52.33 | 47.47 | 38.32 | 30.81 |
|
| 46 |
+
| InternVL3.5-4B | Think | 42.58 | 51.42 | 49.33 | 38.74 | 30.81 |
|
| 47 |
+
| Qolda | Direct | 59.39 | 66.06 | 55.47 | 54.97 | **61.06** |
|
| 48 |
+
| Qolda | Think | **60.44** | **67.62** | **56.53** | **57.07** | 60.54 |
|
| 49 |
+
|
| 50 |
+
## Model Usage
|
| 51 |
+
To run inference with Transformers, please follow the [guidelines](https://huggingface.co/OpenGVLab/InternVL3_5-4B#inference-with-transformers) from InternVL.
|
| 52 |
+
|
| 53 |
+
Alternatively, to run the model via an OpenAI-compatible server, you can use lmdeploy:
|
| 54 |
+
```bash
|
| 55 |
+
pip install lmdeploy>=0.9.1
|
| 56 |
+
|
| 57 |
+
lmdeploy serve api_server issai/Qolda --server-port 23333 --tp 1 --backend pytorch
|
| 58 |
+
```
|
| 59 |
+
|
| 60 |
+
**Note:** Unlike the original InternVL3.5, this model requires the `enable_thinking` parameter to be explicitly set in the `extra_body` of your API calls. However, depending on the task complexity, an empty thinking response might be generated.
|
| 61 |
+
|
| 62 |
+
Then, make a standard API call:
|
| 63 |
+
|
| 64 |
+
```python
|
| 65 |
+
import base64
|
| 66 |
+
from openai import OpenAI
|
| 67 |
+
|
| 68 |
+
client = OpenAI(api_key='YOUR_API_KEY', base_url='http://0.0.0.0:23333/v1')
|
| 69 |
+
|
| 70 |
+
def encode_image(image_path):
|
| 71 |
+
with open(image_path, "rb") as image_file:
|
| 72 |
+
return base64.b64encode(image_file.read()).decode('utf-8')
|
| 73 |
+
|
| 74 |
+
image_path = "./assets/eval-results-text.png"
|
| 75 |
+
|
| 76 |
+
response = client.chat.completions.create(
|
| 77 |
+
model=client.models.list().data[0].id,
|
| 78 |
+
messages=[{
|
| 79 |
+
'role': 'user',
|
| 80 |
+
'content': [
|
| 81 |
+
{
|
| 82 |
+
'type': 'text',
|
| 83 |
+
'text': 'Берілген диаграмманың сипаттамасын бер.'
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
'type': 'image_url',
|
| 87 |
+
'image_url': {
|
| 88 |
+
'url': f'data:image/png;base64,{encode_image(image_path)}',
|
| 89 |
+
},
|
| 90 |
+
}
|
| 91 |
+
],
|
| 92 |
+
}],
|
| 93 |
+
max_tokens=8192,
|
| 94 |
+
temperature=0.6,
|
| 95 |
+
top_p=0.95,
|
| 96 |
+
extra_body={
|
| 97 |
+
"top_k": 20,
|
| 98 |
+
"enable_thinking": True
|
| 99 |
+
},
|
| 100 |
+
)
|
| 101 |
+
|
| 102 |
+
print(response.choices[0].message.content)
|
| 103 |
+
```
|
| 104 |
+
|
| 105 |
+
## License
|
| 106 |
+
This model is licensed under the Apache License 2.0.
|
| 107 |
+
|
| 108 |
+
|
| 109 |
+
## Кіріспе
|
| 110 |
+
InternVL3.5 және Qwen3 негізінде жаса��ған **Qolda** — қазақ, орыс және ағылшын тілдерінде жұмыс істеуге арналған шағын көру-тілдік моделі (vision-language model). Модель 4,3 млрд параметрге ие және [InternVL3.5-4B](https://huggingface.co/OpenGVLab/InternVL3_5-4B) моделінің InternViT-300M көру энкодері мен MLP проектор компоненттерін, сондай-ақ [Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) тілдік моделін қамтиды. Модельді оқыту [InternVL фреймворкі](https://github.com/OpenGVLab/InternVL) көмегімен жүзеге асырылды 💙
|
| 111 |
+
|
| 112 |
+
"Qolda" атауы модельдің дизайны мен мақсатын қазақ тіліндегі қолда сөзінің қос мағынасы арқылы көрсетеді. Біріншісі, шағын әрі қолжетімді болуы үшін "қолда" cөзі арқылы және екіншісі, көмекші табиғаты үшін, "қолдау" мағынасы арқылы.
|
| 113 |
+
|
| 114 |
+
## Бағалау нәтижелері
|
| 115 |
+
Мәтіндік және көру-тілдік модальділіктер үшін бағалау бөлек жүргізілді. Qolda орыс және ағылшын тілдеріндегі өзінің бастапқы деңгейін сақтай отырып, қазақ тіліндегі өнімділігін айтарлықтай жақсартты.
|
| 116 |
+
|
| 117 |
+
### Мәтіндік бенчмарктар
|
| 118 |
+
|
| 119 |
+
*MMLU, Winogrande, HellaSwag, ARC, GSM8K және DROP сияқты тілдік тапсырмалардағы өнімділікті салыстыру.*
|
| 120 |
+
|
| 121 |
+
**Ескерту:** Төмендегі кестедегі Qolda және Qwen3-4B модельдерінің салыстырылуы тек **қазақ** тіліндегі бенчмарктар нәтижелерін көрсетеді. Басқа модельдердің өнімділігі, сондай-ақ орыс және ағылшын тілдеріндегі көрсеткіштер кейінірек ұсынылады.
|
| 122 |
+
|
| 123 |
+
| Model | Mode | Avg | MMLU | Winogrande | HellaSwag | ARC | GSM8K | DROP |
|
| 124 |
+
|-------|------|-----|------|------------|-----------|-----|-------|------|
|
| 125 |
+
| Qwen3-4B | Direct | 52.00 | 42.43 | 56.88 | 42.04 | 64.77 | 73.62 | 32.27 |
|
| 126 |
+
| Qwen3-4B | Think | 57.73 | 52.98 | 51.27 | 41.86 | 79.65 | 64.82 | 55.81 |
|
| 127 |
+
| Qolda | Direct | 58.77 | 46.55 | 56.37 | 55.75 | 73.62 | 63.50 | 56.84 |
|
| 128 |
+
| Qolda | Think | **71.64** | **64.56** | **70.54** | **57.70** | **89.99** | **79.47** | **67.59** |
|
| 129 |
+
|
| 130 |
+
### Көру бенчмарктары
|
| 131 |
+
|
| 132 |
+
*AI2D, MMStar, RealWorldQA және KazakhOCR сияқты көру-тілдік тапсырмаларындағы өнімділікті салыстыру.*
|
| 133 |
+
|
| 134 |
+
**Ескерту:** Төмендегі кестедегі Qolda және InternVL3.5-4B модельдерінің салыстырылуы тек **қазақ** тіліндегі көру-тілдік бенчмарктар нәтижелерін көрсетеді. Басқа модельдердің өнімділігі, сондай-ақ орыс және ағылшын тілдеріндегі көрсеткіштер кейінірек ұсынылады.
|
| 135 |
+
|
| 136 |
+
| Model | Mode | Avg | AI2D | MMStar | RealWorldQA | KazakhOCR |
|
| 137 |
+
|-------|------|--------|--------|----------|---------------|-------------|
|
| 138 |
+
| InternVL3.5-4B | Direct | 42.23 | 52.33 | 47.47 | 38.32 | 30.81 |
|
| 139 |
+
| InternVL3.5-4B | Think | 42.58 | 51.42 | 49.33 | 38.74 | 30.81 |
|
| 140 |
+
| Qolda | Direct | 59.39 | 66.06 | 55.47 | 54.97 | **61.06** |
|
| 141 |
+
| Qolda | Think | **60.44** | **67.62** | **56.53** | **57.07** | 60.54 |
|
| 142 |
+
|
| 143 |
+
## Модельді қолдану
|
| 144 |
+
Transformers арқылы инференсті іске қосу үшін InternVL ұсынған [нұсқаулықтарды](https://huggingface.co/OpenGVLab/InternVL3_5-4B#inference-with-transformers) орындаңыз.
|
| 145 |
+
|
| 146 |
+
Немесе, модельді OpenAI-үйлесімді сервер арқылы іске қосу үшін lmdeploy құралын пайдалануға болады:
|
| 147 |
+
```bash
|
| 148 |
+
pip install lmdeploy>=0.9.1
|
| 149 |
+
|
| 150 |
+
lmdeploy serve api_server issai/Qolda --server-port 23333 --tp 1 --backend pytorch
|
| 151 |
+
```
|
| 152 |
+
|
| 153 |
+
**Ескерту:** Qolda-ның түпнұсқалық InternVL3.5-тен айырмашылығы, бұл модель API call жасаған кезде `extra_body` бөлігінде `enable_thinking` параметрінің нақты орнатылуын талап етеді. Тапсырманың күрделілігіне байланысты бос thinking жауабы қайтарылуы мүмкін.
|
| 154 |
+
|
| 155 |
+
Содан соң, стандартты API call жасаңыз:
|
| 156 |
+
|
| 157 |
+
```python
|
| 158 |
+
import base64
|
| 159 |
+
from openai import OpenAI
|
| 160 |
+
|
| 161 |
+
client = OpenAI(api_key='YOUR_API_KEY', base_url='http://0.0.0.0:23333/v1')
|
| 162 |
+
|
| 163 |
+
def encode_image(image_path):
|
| 164 |
+
with open(image_path, "rb") as image_file:
|
| 165 |
+
return base64.b64encode(image_file.read()).decode('utf-8')
|
| 166 |
+
|
| 167 |
+
image_path = "./assets/eval-results-text.png"
|
| 168 |
+
|
| 169 |
+
response = client.chat.completions.create(
|
| 170 |
+
model=client.models.list().data[0].id,
|
| 171 |
+
messages=[{
|
| 172 |
+
'role': 'user',
|
| 173 |
+
'content': [
|
| 174 |
+
{
|
| 175 |
+
'type': 'text',
|
| 176 |
+
'text': 'Берілген диаграмманың сипаттамасын бер.'
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
'type': 'image_url',
|
| 180 |
+
'image_url': {
|
| 181 |
+
'url': f'data:image/png;base64,{encode_image(image_path)}',
|
| 182 |
+
},
|
| 183 |
+
}
|
| 184 |
+
],
|
| 185 |
+
}],
|
| 186 |
+
max_tokens=8192,
|
| 187 |
+
temperature=0.6,
|
| 188 |
+
top_p=0.95,
|
| 189 |
+
extra_body={
|
| 190 |
+
"top_k": 20,
|
| 191 |
+
"enable_thinking": True
|
| 192 |
+
},
|
| 193 |
+
)
|
| 194 |
+
|
| 195 |
+
print(response.choices[0].message.content)
|
| 196 |
+
```
|
| 197 |
+
|
| 198 |
+
## Лицензия
|
| 199 |
+
Бұл модель Apache License 2.0 бойынша лицензияланған.
|
BF16/config.json
ADDED
|
@@ -0,0 +1,128 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"InternVLChatModel"
|
| 4 |
+
],
|
| 5 |
+
"auto_map": {
|
| 6 |
+
"AutoConfig": "configuration_internvl_chat.InternVLChatConfig",
|
| 7 |
+
"AutoModel": "modeling_internvl_chat.InternVLChatModel",
|
| 8 |
+
"AutoModelForCausalLM": "modeling_internvl_chat.InternVLChatModel"
|
| 9 |
+
},
|
| 10 |
+
"downsample_ratio": 0.5,
|
| 11 |
+
"dynamic_image_size": true,
|
| 12 |
+
"eos_token_id": 151645,
|
| 13 |
+
"force_image_size": 448,
|
| 14 |
+
"hidden_size": 2560,
|
| 15 |
+
"llm_config": {
|
| 16 |
+
"_attn_implementation_autoset": true,
|
| 17 |
+
"architectures": [
|
| 18 |
+
"Qwen3ForCausalLM"
|
| 19 |
+
],
|
| 20 |
+
"attention_bias": false,
|
| 21 |
+
"attention_dropout": 0.0,
|
| 22 |
+
"eos_token_id": 151645,
|
| 23 |
+
"head_dim": 128,
|
| 24 |
+
"hidden_act": "silu",
|
| 25 |
+
"hidden_size": 2560,
|
| 26 |
+
"initializer_range": 0.02,
|
| 27 |
+
"intermediate_size": 9728,
|
| 28 |
+
"layer_types": [
|
| 29 |
+
"full_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"full_attention",
|
| 43 |
+
"full_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"full_attention",
|
| 47 |
+
"full_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"full_attention",
|
| 50 |
+
"full_attention",
|
| 51 |
+
"full_attention",
|
| 52 |
+
"full_attention",
|
| 53 |
+
"full_attention",
|
| 54 |
+
"full_attention",
|
| 55 |
+
"full_attention",
|
| 56 |
+
"full_attention",
|
| 57 |
+
"full_attention",
|
| 58 |
+
"full_attention",
|
| 59 |
+
"full_attention",
|
| 60 |
+
"full_attention",
|
| 61 |
+
"full_attention",
|
| 62 |
+
"full_attention",
|
| 63 |
+
"full_attention",
|
| 64 |
+
"full_attention"
|
| 65 |
+
],
|
| 66 |
+
"max_position_embeddings": 40960,
|
| 67 |
+
"max_window_layers": 36,
|
| 68 |
+
"model_type": "qwen3",
|
| 69 |
+
"num_attention_heads": 32,
|
| 70 |
+
"num_hidden_layers": 36,
|
| 71 |
+
"num_key_value_heads": 8,
|
| 72 |
+
"rms_norm_eps": 1e-06,
|
| 73 |
+
"rope_scaling": null,
|
| 74 |
+
"rope_theta": 1000000,
|
| 75 |
+
"sliding_window": null,
|
| 76 |
+
"tie_word_embeddings": true,
|
| 77 |
+
"torch_dtype": "bfloat16",
|
| 78 |
+
"use_cache": false,
|
| 79 |
+
"use_sliding_window": false,
|
| 80 |
+
"vocab_size": 151936
|
| 81 |
+
},
|
| 82 |
+
"max_dynamic_patch": 12,
|
| 83 |
+
"min_dynamic_patch": 1,
|
| 84 |
+
"model_type": "internvl_chat",
|
| 85 |
+
"output_attentions": false,
|
| 86 |
+
"pad2square": false,
|
| 87 |
+
"pad_token_id": 151643,
|
| 88 |
+
"ps_version": "v2",
|
| 89 |
+
"select_layer": -1,
|
| 90 |
+
"template": "internvl2_5",
|
| 91 |
+
"tie_word_embeddings": true,
|
| 92 |
+
"torch_dtype": "bfloat16",
|
| 93 |
+
"transformers_version": null,
|
| 94 |
+
"use_backbone_lora": 0,
|
| 95 |
+
"use_llm_lora": 0,
|
| 96 |
+
"use_thumbnail": true,
|
| 97 |
+
"vision_config": {
|
| 98 |
+
"_attn_implementation_autoset": true,
|
| 99 |
+
"architectures": [
|
| 100 |
+
"InternVisionModel"
|
| 101 |
+
],
|
| 102 |
+
"attention_dropout": 0.0,
|
| 103 |
+
"auto_map": {
|
| 104 |
+
"AutoConfig": "configuration_intern_vit.InternVisionConfig",
|
| 105 |
+
"AutoModel": "modeling_intern_vit.InternVisionModel"
|
| 106 |
+
},
|
| 107 |
+
"drop_path_rate": 0.0,
|
| 108 |
+
"dropout": 0.0,
|
| 109 |
+
"hidden_act": "gelu",
|
| 110 |
+
"hidden_size": 1024,
|
| 111 |
+
"image_size": 448,
|
| 112 |
+
"initializer_factor": 1.0,
|
| 113 |
+
"initializer_range": 0.02,
|
| 114 |
+
"intermediate_size": 4096,
|
| 115 |
+
"layer_norm_eps": 1e-06,
|
| 116 |
+
"model_type": "intern_vit_6b",
|
| 117 |
+
"norm_type": "layer_norm",
|
| 118 |
+
"num_attention_heads": 16,
|
| 119 |
+
"num_channels": 3,
|
| 120 |
+
"num_hidden_layers": 24,
|
| 121 |
+
"patch_size": 14,
|
| 122 |
+
"qk_normalization": false,
|
| 123 |
+
"qkv_bias": true,
|
| 124 |
+
"torch_dtype": "bfloat16",
|
| 125 |
+
"use_fa3": false,
|
| 126 |
+
"use_flash_attn": true
|
| 127 |
+
}
|
| 128 |
+
}
|
BF16/generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 151643,
|
| 4 |
+
"eos_token_id": 151645,
|
| 5 |
+
"pad_token_id": 151643,
|
| 6 |
+
"transformers_version": "4.51.0"
|
| 7 |
+
}
|
BF16/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
BF16/special_tokens_map.json
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<img>",
|
| 4 |
+
"</img>",
|
| 5 |
+
"<IMG_CONTEXT>",
|
| 6 |
+
"<quad>",
|
| 7 |
+
"</quad>",
|
| 8 |
+
"<ref>",
|
| 9 |
+
"</ref>",
|
| 10 |
+
"<box>",
|
| 11 |
+
"</box>"
|
| 12 |
+
],
|
| 13 |
+
"eos_token": {
|
| 14 |
+
"content": "<|im_end|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false
|
| 19 |
+
},
|
| 20 |
+
"pad_token": {
|
| 21 |
+
"content": "<|endoftext|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false
|
| 26 |
+
}
|
| 27 |
+
}
|
BF16/tokenizer_config.json
ADDED
|
@@ -0,0 +1,308 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": false,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"151643": {
|
| 7 |
+
"content": "<|endoftext|>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"151644": {
|
| 15 |
+
"content": "<|im_start|>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"151645": {
|
| 23 |
+
"content": "<|im_end|>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
},
|
| 30 |
+
"151646": {
|
| 31 |
+
"content": "<|object_ref_start|>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": true
|
| 37 |
+
},
|
| 38 |
+
"151647": {
|
| 39 |
+
"content": "<|object_ref_end|>",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": false,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"single_word": false,
|
| 44 |
+
"special": true
|
| 45 |
+
},
|
| 46 |
+
"151648": {
|
| 47 |
+
"content": "<|box_start|>",
|
| 48 |
+
"lstrip": false,
|
| 49 |
+
"normalized": false,
|
| 50 |
+
"rstrip": false,
|
| 51 |
+
"single_word": false,
|
| 52 |
+
"special": true
|
| 53 |
+
},
|
| 54 |
+
"151649": {
|
| 55 |
+
"content": "<|box_end|>",
|
| 56 |
+
"lstrip": false,
|
| 57 |
+
"normalized": false,
|
| 58 |
+
"rstrip": false,
|
| 59 |
+
"single_word": false,
|
| 60 |
+
"special": true
|
| 61 |
+
},
|
| 62 |
+
"151650": {
|
| 63 |
+
"content": "<|quad_start|>",
|
| 64 |
+
"lstrip": false,
|
| 65 |
+
"normalized": false,
|
| 66 |
+
"rstrip": false,
|
| 67 |
+
"single_word": false,
|
| 68 |
+
"special": true
|
| 69 |
+
},
|
| 70 |
+
"151651": {
|
| 71 |
+
"content": "<|quad_end|>",
|
| 72 |
+
"lstrip": false,
|
| 73 |
+
"normalized": false,
|
| 74 |
+
"rstrip": false,
|
| 75 |
+
"single_word": false,
|
| 76 |
+
"special": true
|
| 77 |
+
},
|
| 78 |
+
"151652": {
|
| 79 |
+
"content": "<|vision_start|>",
|
| 80 |
+
"lstrip": false,
|
| 81 |
+
"normalized": false,
|
| 82 |
+
"rstrip": false,
|
| 83 |
+
"single_word": false,
|
| 84 |
+
"special": true
|
| 85 |
+
},
|
| 86 |
+
"151653": {
|
| 87 |
+
"content": "<|vision_end|>",
|
| 88 |
+
"lstrip": false,
|
| 89 |
+
"normalized": false,
|
| 90 |
+
"rstrip": false,
|
| 91 |
+
"single_word": false,
|
| 92 |
+
"special": true
|
| 93 |
+
},
|
| 94 |
+
"151654": {
|
| 95 |
+
"content": "<|vision_pad|>",
|
| 96 |
+
"lstrip": false,
|
| 97 |
+
"normalized": false,
|
| 98 |
+
"rstrip": false,
|
| 99 |
+
"single_word": false,
|
| 100 |
+
"special": true
|
| 101 |
+
},
|
| 102 |
+
"151655": {
|
| 103 |
+
"content": "<|image_pad|>",
|
| 104 |
+
"lstrip": false,
|
| 105 |
+
"normalized": false,
|
| 106 |
+
"rstrip": false,
|
| 107 |
+
"single_word": false,
|
| 108 |
+
"special": true
|
| 109 |
+
},
|
| 110 |
+
"151656": {
|
| 111 |
+
"content": "<|video_pad|>",
|
| 112 |
+
"lstrip": false,
|
| 113 |
+
"normalized": false,
|
| 114 |
+
"rstrip": false,
|
| 115 |
+
"single_word": false,
|
| 116 |
+
"special": true
|
| 117 |
+
},
|
| 118 |
+
"151657": {
|
| 119 |
+
"content": "<tool_call>",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": false,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false,
|
| 124 |
+
"special": false
|
| 125 |
+
},
|
| 126 |
+
"151658": {
|
| 127 |
+
"content": "</tool_call>",
|
| 128 |
+
"lstrip": false,
|
| 129 |
+
"normalized": false,
|
| 130 |
+
"rstrip": false,
|
| 131 |
+
"single_word": false,
|
| 132 |
+
"special": false
|
| 133 |
+
},
|
| 134 |
+
"151659": {
|
| 135 |
+
"content": "<|fim_prefix|>",
|
| 136 |
+
"lstrip": false,
|
| 137 |
+
"normalized": false,
|
| 138 |
+
"rstrip": false,
|
| 139 |
+
"single_word": false,
|
| 140 |
+
"special": false
|
| 141 |
+
},
|
| 142 |
+
"151660": {
|
| 143 |
+
"content": "<|fim_middle|>",
|
| 144 |
+
"lstrip": false,
|
| 145 |
+
"normalized": false,
|
| 146 |
+
"rstrip": false,
|
| 147 |
+
"single_word": false,
|
| 148 |
+
"special": false
|
| 149 |
+
},
|
| 150 |
+
"151661": {
|
| 151 |
+
"content": "<|fim_suffix|>",
|
| 152 |
+
"lstrip": false,
|
| 153 |
+
"normalized": false,
|
| 154 |
+
"rstrip": false,
|
| 155 |
+
"single_word": false,
|
| 156 |
+
"special": false
|
| 157 |
+
},
|
| 158 |
+
"151662": {
|
| 159 |
+
"content": "<|fim_pad|>",
|
| 160 |
+
"lstrip": false,
|
| 161 |
+
"normalized": false,
|
| 162 |
+
"rstrip": false,
|
| 163 |
+
"single_word": false,
|
| 164 |
+
"special": false
|
| 165 |
+
},
|
| 166 |
+
"151663": {
|
| 167 |
+
"content": "<|repo_name|>",
|
| 168 |
+
"lstrip": false,
|
| 169 |
+
"normalized": false,
|
| 170 |
+
"rstrip": false,
|
| 171 |
+
"single_word": false,
|
| 172 |
+
"special": false
|
| 173 |
+
},
|
| 174 |
+
"151664": {
|
| 175 |
+
"content": "<|file_sep|>",
|
| 176 |
+
"lstrip": false,
|
| 177 |
+
"normalized": false,
|
| 178 |
+
"rstrip": false,
|
| 179 |
+
"single_word": false,
|
| 180 |
+
"special": false
|
| 181 |
+
},
|
| 182 |
+
"151665": {
|
| 183 |
+
"content": "<tool_response>",
|
| 184 |
+
"lstrip": false,
|
| 185 |
+
"normalized": false,
|
| 186 |
+
"rstrip": false,
|
| 187 |
+
"single_word": false,
|
| 188 |
+
"special": false
|
| 189 |
+
},
|
| 190 |
+
"151666": {
|
| 191 |
+
"content": "</tool_response>",
|
| 192 |
+
"lstrip": false,
|
| 193 |
+
"normalized": false,
|
| 194 |
+
"rstrip": false,
|
| 195 |
+
"single_word": false,
|
| 196 |
+
"special": false
|
| 197 |
+
},
|
| 198 |
+
"151667": {
|
| 199 |
+
"content": "<think>",
|
| 200 |
+
"lstrip": false,
|
| 201 |
+
"normalized": false,
|
| 202 |
+
"rstrip": false,
|
| 203 |
+
"single_word": false,
|
| 204 |
+
"special": false
|
| 205 |
+
},
|
| 206 |
+
"151668": {
|
| 207 |
+
"content": "</think>",
|
| 208 |
+
"lstrip": false,
|
| 209 |
+
"normalized": false,
|
| 210 |
+
"rstrip": false,
|
| 211 |
+
"single_word": false,
|
| 212 |
+
"special": false
|
| 213 |
+
},
|
| 214 |
+
"151669": {
|
| 215 |
+
"content": "<img>",
|
| 216 |
+
"lstrip": false,
|
| 217 |
+
"normalized": false,
|
| 218 |
+
"rstrip": false,
|
| 219 |
+
"single_word": false,
|
| 220 |
+
"special": true
|
| 221 |
+
},
|
| 222 |
+
"151670": {
|
| 223 |
+
"content": "</img>",
|
| 224 |
+
"lstrip": false,
|
| 225 |
+
"normalized": false,
|
| 226 |
+
"rstrip": false,
|
| 227 |
+
"single_word": false,
|
| 228 |
+
"special": true
|
| 229 |
+
},
|
| 230 |
+
"151671": {
|
| 231 |
+
"content": "<IMG_CONTEXT>",
|
| 232 |
+
"lstrip": false,
|
| 233 |
+
"normalized": false,
|
| 234 |
+
"rstrip": false,
|
| 235 |
+
"single_word": false,
|
| 236 |
+
"special": true
|
| 237 |
+
},
|
| 238 |
+
"151672": {
|
| 239 |
+
"content": "<quad>",
|
| 240 |
+
"lstrip": false,
|
| 241 |
+
"normalized": false,
|
| 242 |
+
"rstrip": false,
|
| 243 |
+
"single_word": false,
|
| 244 |
+
"special": true
|
| 245 |
+
},
|
| 246 |
+
"151673": {
|
| 247 |
+
"content": "</quad>",
|
| 248 |
+
"lstrip": false,
|
| 249 |
+
"normalized": false,
|
| 250 |
+
"rstrip": false,
|
| 251 |
+
"single_word": false,
|
| 252 |
+
"special": true
|
| 253 |
+
},
|
| 254 |
+
"151674": {
|
| 255 |
+
"content": "<ref>",
|
| 256 |
+
"lstrip": false,
|
| 257 |
+
"normalized": false,
|
| 258 |
+
"rstrip": false,
|
| 259 |
+
"single_word": false,
|
| 260 |
+
"special": true
|
| 261 |
+
},
|
| 262 |
+
"151675": {
|
| 263 |
+
"content": "</ref>",
|
| 264 |
+
"lstrip": false,
|
| 265 |
+
"normalized": false,
|
| 266 |
+
"rstrip": false,
|
| 267 |
+
"single_word": false,
|
| 268 |
+
"special": true
|
| 269 |
+
},
|
| 270 |
+
"151676": {
|
| 271 |
+
"content": "<box>",
|
| 272 |
+
"lstrip": false,
|
| 273 |
+
"normalized": false,
|
| 274 |
+
"rstrip": false,
|
| 275 |
+
"single_word": false,
|
| 276 |
+
"special": true
|
| 277 |
+
},
|
| 278 |
+
"151677": {
|
| 279 |
+
"content": "</box>",
|
| 280 |
+
"lstrip": false,
|
| 281 |
+
"normalized": false,
|
| 282 |
+
"rstrip": false,
|
| 283 |
+
"single_word": false,
|
| 284 |
+
"special": true
|
| 285 |
+
}
|
| 286 |
+
},
|
| 287 |
+
"additional_special_tokens": [
|
| 288 |
+
"<img>",
|
| 289 |
+
"</img>",
|
| 290 |
+
"<IMG_CONTEXT>",
|
| 291 |
+
"<quad>",
|
| 292 |
+
"</quad>",
|
| 293 |
+
"<ref>",
|
| 294 |
+
"</ref>",
|
| 295 |
+
"<box>",
|
| 296 |
+
"</box>"
|
| 297 |
+
],
|
| 298 |
+
"bos_token": null,
|
| 299 |
+
"clean_up_tokenization_spaces": false,
|
| 300 |
+
"eos_token": "<|im_end|>",
|
| 301 |
+
"errors": "replace",
|
| 302 |
+
"extra_special_tokens": {},
|
| 303 |
+
"model_max_length": 8192,
|
| 304 |
+
"pad_token": "<|endoftext|>",
|
| 305 |
+
"split_special_tokens": false,
|
| 306 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 307 |
+
"unk_token": null
|
| 308 |
+
}
|
BF16/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
IQ2_M/Qolda-IQ2_M.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:396fa4ddc45daf38581ece3a046fa3897a286e6f264908ff9ed6ba904fc521f9
|
| 3 |
+
size 273374272
|
IQ3_XXS/Qolda-IQ3_XXS.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:396fa4ddc45daf38581ece3a046fa3897a286e6f264908ff9ed6ba904fc521f9
|
| 3 |
+
size 273374272
|
IQ4_NL/Qolda-IQ4_NL.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cd451aa7562045deecb63b09e82a6048ce9b6dc7beb5272a901cb6f9b278da03
|
| 3 |
+
size 2393795136
|
IQ4_NL/README.md
ADDED
|
@@ -0,0 +1,199 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- kk
|
| 4 |
+
- ru
|
| 5 |
+
- en
|
| 6 |
+
base_model:
|
| 7 |
+
- OpenGVLab/InternVL3_5-4B
|
| 8 |
+
pipeline_tag: image-text-to-text
|
| 9 |
+
---
|
| 10 |
+
[Қазақша](#кіріспе) [English](#introduction)
|
| 11 |
+
|
| 12 |
+
# Qolda
|
| 13 |
+
[](https://github.com/IS2AI/Qolda-deployment)
|
| 14 |
+
[](https://www.apache.org/licenses/LICENSE-2.0)
|
| 15 |
+
|
| 16 |
+
## Introduction
|
| 17 |
+
Built on top of InternVL3.5 and Qwen3, **Qolda** is a small vision-language model designed to operate in Kazakh, Russian, and English. The model has 4.3B parameters and comprises the InternViT-300M vision encoder and MLP Projector components from [InternVL3.5-4B](https://huggingface.co/OpenGVLab/InternVL3_5-4B), along with the [Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) language model. Model training was performed using the [InternVL framework](https://github.com/OpenGVLab/InternVL) 💙
|
| 18 |
+
|
| 19 |
+
The name "Qolda" reflects both its design and purpose in Kazakh: "in hand" (қолда) for its compact accessibility, and "to support" (қолдау) for its assistive nature.
|
| 20 |
+
|
| 21 |
+
## Evaluation Results
|
| 22 |
+
Evaluation was conducted separately for text-only and vision-language modalities. Qolda demonstrates significant performance improvements for Kazakh while maintaining comparable performance on Russian and English.
|
| 23 |
+
|
| 24 |
+
### Text Benchmarks
|
| 25 |
+
|
| 26 |
+
*Performance comparison on language tasks including MMLU, Winogrande, HellaSwag, ARC, GSM8K, and DROP.*
|
| 27 |
+
|
| 28 |
+
**Note:** The comparison below presents Qolda's performance against Qwen3-4B on **Kazakh** language benchmarks only. Evaluation results for additional models and performance on Russian and English will be added later.
|
| 29 |
+
|
| 30 |
+
| Model | Mode | Avg | MMLU | Winogrande | HellaSwag | ARC | GSM8K | DROP |
|
| 31 |
+
|-------|------|-----|------|------------|-----------|-----|-------|------|
|
| 32 |
+
| Qwen3-4B | Direct | 52.00 | 42.43 | 56.88 | 42.04 | 64.77 | 73.62 | 32.27 |
|
| 33 |
+
| Qwen3-4B | Think | 57.73 | 52.98 | 51.27 | 41.86 | 79.65 | 64.82 | 55.81 |
|
| 34 |
+
| Qolda | Direct | 58.77 | 46.55 | 56.37 | 55.75 | 73.62 | 63.50 | 56.84 |
|
| 35 |
+
| Qolda | Think | **71.64** | **64.56** | **70.54** | **57.70** | **89.99** | **79.47** | **67.59** |
|
| 36 |
+
|
| 37 |
+
### Vision Benchmarks
|
| 38 |
+
|
| 39 |
+
*Performance comparison on vision-language tasks including AI2D, MMStar, RealWorldQA, and KazakhOCR.*
|
| 40 |
+
|
| 41 |
+
**Note:** The comparison below presents Qolda's performance against InternVL3.5-4B on **Kazakh** vision-language benchmarks only. Evaluation results for additional models and performance on Russian and English will be added later.
|
| 42 |
+
|
| 43 |
+
| Model | Mode | Avg | AI2D | MMStar | RealWorldQA | KazakhOCR |
|
| 44 |
+
|-------|------|--------|--------|----------|---------------|-------------|
|
| 45 |
+
| InternVL3.5-4B | Direct | 42.23 | 52.33 | 47.47 | 38.32 | 30.81 |
|
| 46 |
+
| InternVL3.5-4B | Think | 42.58 | 51.42 | 49.33 | 38.74 | 30.81 |
|
| 47 |
+
| Qolda | Direct | 59.39 | 66.06 | 55.47 | 54.97 | **61.06** |
|
| 48 |
+
| Qolda | Think | **60.44** | **67.62** | **56.53** | **57.07** | 60.54 |
|
| 49 |
+
|
| 50 |
+
## Model Usage
|
| 51 |
+
To run inference with Transformers, please follow the [guidelines](https://huggingface.co/OpenGVLab/InternVL3_5-4B#inference-with-transformers) from InternVL.
|
| 52 |
+
|
| 53 |
+
Alternatively, to run the model via an OpenAI-compatible server, you can use lmdeploy:
|
| 54 |
+
```bash
|
| 55 |
+
pip install lmdeploy>=0.9.1
|
| 56 |
+
|
| 57 |
+
lmdeploy serve api_server issai/Qolda --server-port 23333 --tp 1 --backend pytorch
|
| 58 |
+
```
|
| 59 |
+
|
| 60 |
+
**Note:** Unlike the original InternVL3.5, this model requires the `enable_thinking` parameter to be explicitly set in the `extra_body` of your API calls. However, depending on the task complexity, an empty thinking response might be generated.
|
| 61 |
+
|
| 62 |
+
Then, make a standard API call:
|
| 63 |
+
|
| 64 |
+
```python
|
| 65 |
+
import base64
|
| 66 |
+
from openai import OpenAI
|
| 67 |
+
|
| 68 |
+
client = OpenAI(api_key='YOUR_API_KEY', base_url='http://0.0.0.0:23333/v1')
|
| 69 |
+
|
| 70 |
+
def encode_image(image_path):
|
| 71 |
+
with open(image_path, "rb") as image_file:
|
| 72 |
+
return base64.b64encode(image_file.read()).decode('utf-8')
|
| 73 |
+
|
| 74 |
+
image_path = "./assets/eval-results-text.png"
|
| 75 |
+
|
| 76 |
+
response = client.chat.completions.create(
|
| 77 |
+
model=client.models.list().data[0].id,
|
| 78 |
+
messages=[{
|
| 79 |
+
'role': 'user',
|
| 80 |
+
'content': [
|
| 81 |
+
{
|
| 82 |
+
'type': 'text',
|
| 83 |
+
'text': 'Берілген диаграмманың сипаттамасын бер.'
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
'type': 'image_url',
|
| 87 |
+
'image_url': {
|
| 88 |
+
'url': f'data:image/png;base64,{encode_image(image_path)}',
|
| 89 |
+
},
|
| 90 |
+
}
|
| 91 |
+
],
|
| 92 |
+
}],
|
| 93 |
+
max_tokens=8192,
|
| 94 |
+
temperature=0.6,
|
| 95 |
+
top_p=0.95,
|
| 96 |
+
extra_body={
|
| 97 |
+
"top_k": 20,
|
| 98 |
+
"enable_thinking": True
|
| 99 |
+
},
|
| 100 |
+
)
|
| 101 |
+
|
| 102 |
+
print(response.choices[0].message.content)
|
| 103 |
+
```
|
| 104 |
+
|
| 105 |
+
## License
|
| 106 |
+
This model is licensed under the Apache License 2.0.
|
| 107 |
+
|
| 108 |
+
|
| 109 |
+
## Кіріспе
|
| 110 |
+
InternVL3.5 және Qwen3 негізінде жаса��ған **Qolda** — қазақ, орыс және ағылшын тілдерінде жұмыс істеуге арналған шағын көру-тілдік моделі (vision-language model). Модель 4,3 млрд параметрге ие және [InternVL3.5-4B](https://huggingface.co/OpenGVLab/InternVL3_5-4B) моделінің InternViT-300M көру энкодері мен MLP проектор компоненттерін, сондай-ақ [Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) тілдік моделін қамтиды. Модельді оқыту [InternVL фреймворкі](https://github.com/OpenGVLab/InternVL) көмегімен жүзеге асырылды 💙
|
| 111 |
+
|
| 112 |
+
"Qolda" атауы модельдің дизайны мен мақсатын қазақ тіліндегі қолда сөзінің қос мағынасы арқылы көрсетеді. Біріншісі, шағын әрі қолжетімді болуы үшін "қолда" cөзі арқылы және екіншісі, көмекші табиғаты үшін, "қолдау" мағынасы арқылы.
|
| 113 |
+
|
| 114 |
+
## Бағалау нәтижелері
|
| 115 |
+
Мәтіндік және көру-тілдік модальділіктер үшін бағалау бөлек жүргізілді. Qolda орыс және ағылшын тілдеріндегі өзінің бастапқы деңгейін сақтай отырып, қазақ тіліндегі өнімділігін айтарлықтай жақсартты.
|
| 116 |
+
|
| 117 |
+
### Мәтіндік бенчмарктар
|
| 118 |
+
|
| 119 |
+
*MMLU, Winogrande, HellaSwag, ARC, GSM8K және DROP сияқты тілдік тапсырмалардағы өнімділікті салыстыру.*
|
| 120 |
+
|
| 121 |
+
**Ескерту:** Төмендегі кестедегі Qolda және Qwen3-4B модельдерінің салыстырылуы тек **қазақ** тіліндегі бенчмарктар нәтижелерін көрсетеді. Басқа модельдердің өнімділігі, сондай-ақ орыс және ағылшын тілдеріндегі көрсеткіштер кейінірек ұсынылады.
|
| 122 |
+
|
| 123 |
+
| Model | Mode | Avg | MMLU | Winogrande | HellaSwag | ARC | GSM8K | DROP |
|
| 124 |
+
|-------|------|-----|------|------------|-----------|-----|-------|------|
|
| 125 |
+
| Qwen3-4B | Direct | 52.00 | 42.43 | 56.88 | 42.04 | 64.77 | 73.62 | 32.27 |
|
| 126 |
+
| Qwen3-4B | Think | 57.73 | 52.98 | 51.27 | 41.86 | 79.65 | 64.82 | 55.81 |
|
| 127 |
+
| Qolda | Direct | 58.77 | 46.55 | 56.37 | 55.75 | 73.62 | 63.50 | 56.84 |
|
| 128 |
+
| Qolda | Think | **71.64** | **64.56** | **70.54** | **57.70** | **89.99** | **79.47** | **67.59** |
|
| 129 |
+
|
| 130 |
+
### Көру бенчмарктары
|
| 131 |
+
|
| 132 |
+
*AI2D, MMStar, RealWorldQA және KazakhOCR сияқты көру-тілдік тапсырмаларындағы өнімділікті салыстыру.*
|
| 133 |
+
|
| 134 |
+
**Ескерту:** Төмендегі кестедегі Qolda және InternVL3.5-4B модельдерінің салыстырылуы тек **қазақ** тіліндегі көру-тілдік бенчмарктар нәтижелерін көрсетеді. Басқа модельдердің өнімділігі, сондай-ақ орыс және ағылшын тілдеріндегі көрсеткіштер кейінірек ұсынылады.
|
| 135 |
+
|
| 136 |
+
| Model | Mode | Avg | AI2D | MMStar | RealWorldQA | KazakhOCR |
|
| 137 |
+
|-------|------|--------|--------|----------|---------------|-------------|
|
| 138 |
+
| InternVL3.5-4B | Direct | 42.23 | 52.33 | 47.47 | 38.32 | 30.81 |
|
| 139 |
+
| InternVL3.5-4B | Think | 42.58 | 51.42 | 49.33 | 38.74 | 30.81 |
|
| 140 |
+
| Qolda | Direct | 59.39 | 66.06 | 55.47 | 54.97 | **61.06** |
|
| 141 |
+
| Qolda | Think | **60.44** | **67.62** | **56.53** | **57.07** | 60.54 |
|
| 142 |
+
|
| 143 |
+
## Модельді қолдану
|
| 144 |
+
Transformers арқылы инференсті іске қосу үшін InternVL ұсынған [нұсқаулықтарды](https://huggingface.co/OpenGVLab/InternVL3_5-4B#inference-with-transformers) орындаңыз.
|
| 145 |
+
|
| 146 |
+
Немесе, модельді OpenAI-үйлесімді сервер арқылы іске қосу үшін lmdeploy құралын пайдалануға болады:
|
| 147 |
+
```bash
|
| 148 |
+
pip install lmdeploy>=0.9.1
|
| 149 |
+
|
| 150 |
+
lmdeploy serve api_server issai/Qolda --server-port 23333 --tp 1 --backend pytorch
|
| 151 |
+
```
|
| 152 |
+
|
| 153 |
+
**Ескерту:** Qolda-ның түпнұсқалық InternVL3.5-тен айырмашылығы, бұл модель API call жасаған кезде `extra_body` бөлігінде `enable_thinking` параметрінің нақты орнатылуын талап етеді. Тапсырманың күрделілігіне байланысты бос thinking жауабы қайтарылуы мүмкін.
|
| 154 |
+
|
| 155 |
+
Содан соң, стандартты API call жасаңыз:
|
| 156 |
+
|
| 157 |
+
```python
|
| 158 |
+
import base64
|
| 159 |
+
from openai import OpenAI
|
| 160 |
+
|
| 161 |
+
client = OpenAI(api_key='YOUR_API_KEY', base_url='http://0.0.0.0:23333/v1')
|
| 162 |
+
|
| 163 |
+
def encode_image(image_path):
|
| 164 |
+
with open(image_path, "rb") as image_file:
|
| 165 |
+
return base64.b64encode(image_file.read()).decode('utf-8')
|
| 166 |
+
|
| 167 |
+
image_path = "./assets/eval-results-text.png"
|
| 168 |
+
|
| 169 |
+
response = client.chat.completions.create(
|
| 170 |
+
model=client.models.list().data[0].id,
|
| 171 |
+
messages=[{
|
| 172 |
+
'role': 'user',
|
| 173 |
+
'content': [
|
| 174 |
+
{
|
| 175 |
+
'type': 'text',
|
| 176 |
+
'text': 'Берілген диаграмманың сипаттамасын бер.'
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
'type': 'image_url',
|
| 180 |
+
'image_url': {
|
| 181 |
+
'url': f'data:image/png;base64,{encode_image(image_path)}',
|
| 182 |
+
},
|
| 183 |
+
}
|
| 184 |
+
],
|
| 185 |
+
}],
|
| 186 |
+
max_tokens=8192,
|
| 187 |
+
temperature=0.6,
|
| 188 |
+
top_p=0.95,
|
| 189 |
+
extra_body={
|
| 190 |
+
"top_k": 20,
|
| 191 |
+
"enable_thinking": True
|
| 192 |
+
},
|
| 193 |
+
)
|
| 194 |
+
|
| 195 |
+
print(response.choices[0].message.content)
|
| 196 |
+
```
|
| 197 |
+
|
| 198 |
+
## Лицензия
|
| 199 |
+
Бұл модель Apache License 2.0 бойынша лицензияланған.
|
IQ4_NL/config.json
ADDED
|
@@ -0,0 +1,128 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"InternVLChatModel"
|
| 4 |
+
],
|
| 5 |
+
"auto_map": {
|
| 6 |
+
"AutoConfig": "configuration_internvl_chat.InternVLChatConfig",
|
| 7 |
+
"AutoModel": "modeling_internvl_chat.InternVLChatModel",
|
| 8 |
+
"AutoModelForCausalLM": "modeling_internvl_chat.InternVLChatModel"
|
| 9 |
+
},
|
| 10 |
+
"downsample_ratio": 0.5,
|
| 11 |
+
"dynamic_image_size": true,
|
| 12 |
+
"eos_token_id": 151645,
|
| 13 |
+
"force_image_size": 448,
|
| 14 |
+
"hidden_size": 2560,
|
| 15 |
+
"llm_config": {
|
| 16 |
+
"_attn_implementation_autoset": true,
|
| 17 |
+
"architectures": [
|
| 18 |
+
"Qwen3ForCausalLM"
|
| 19 |
+
],
|
| 20 |
+
"attention_bias": false,
|
| 21 |
+
"attention_dropout": 0.0,
|
| 22 |
+
"eos_token_id": 151645,
|
| 23 |
+
"head_dim": 128,
|
| 24 |
+
"hidden_act": "silu",
|
| 25 |
+
"hidden_size": 2560,
|
| 26 |
+
"initializer_range": 0.02,
|
| 27 |
+
"intermediate_size": 9728,
|
| 28 |
+
"layer_types": [
|
| 29 |
+
"full_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"full_attention",
|
| 43 |
+
"full_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"full_attention",
|
| 47 |
+
"full_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"full_attention",
|
| 50 |
+
"full_attention",
|
| 51 |
+
"full_attention",
|
| 52 |
+
"full_attention",
|
| 53 |
+
"full_attention",
|
| 54 |
+
"full_attention",
|
| 55 |
+
"full_attention",
|
| 56 |
+
"full_attention",
|
| 57 |
+
"full_attention",
|
| 58 |
+
"full_attention",
|
| 59 |
+
"full_attention",
|
| 60 |
+
"full_attention",
|
| 61 |
+
"full_attention",
|
| 62 |
+
"full_attention",
|
| 63 |
+
"full_attention",
|
| 64 |
+
"full_attention"
|
| 65 |
+
],
|
| 66 |
+
"max_position_embeddings": 40960,
|
| 67 |
+
"max_window_layers": 36,
|
| 68 |
+
"model_type": "qwen3",
|
| 69 |
+
"num_attention_heads": 32,
|
| 70 |
+
"num_hidden_layers": 36,
|
| 71 |
+
"num_key_value_heads": 8,
|
| 72 |
+
"rms_norm_eps": 1e-06,
|
| 73 |
+
"rope_scaling": null,
|
| 74 |
+
"rope_theta": 1000000,
|
| 75 |
+
"sliding_window": null,
|
| 76 |
+
"tie_word_embeddings": true,
|
| 77 |
+
"torch_dtype": "bfloat16",
|
| 78 |
+
"use_cache": false,
|
| 79 |
+
"use_sliding_window": false,
|
| 80 |
+
"vocab_size": 151936
|
| 81 |
+
},
|
| 82 |
+
"max_dynamic_patch": 12,
|
| 83 |
+
"min_dynamic_patch": 1,
|
| 84 |
+
"model_type": "internvl_chat",
|
| 85 |
+
"output_attentions": false,
|
| 86 |
+
"pad2square": false,
|
| 87 |
+
"pad_token_id": 151643,
|
| 88 |
+
"ps_version": "v2",
|
| 89 |
+
"select_layer": -1,
|
| 90 |
+
"template": "internvl2_5",
|
| 91 |
+
"tie_word_embeddings": true,
|
| 92 |
+
"torch_dtype": "bfloat16",
|
| 93 |
+
"transformers_version": null,
|
| 94 |
+
"use_backbone_lora": 0,
|
| 95 |
+
"use_llm_lora": 0,
|
| 96 |
+
"use_thumbnail": true,
|
| 97 |
+
"vision_config": {
|
| 98 |
+
"_attn_implementation_autoset": true,
|
| 99 |
+
"architectures": [
|
| 100 |
+
"InternVisionModel"
|
| 101 |
+
],
|
| 102 |
+
"attention_dropout": 0.0,
|
| 103 |
+
"auto_map": {
|
| 104 |
+
"AutoConfig": "configuration_intern_vit.InternVisionConfig",
|
| 105 |
+
"AutoModel": "modeling_intern_vit.InternVisionModel"
|
| 106 |
+
},
|
| 107 |
+
"drop_path_rate": 0.0,
|
| 108 |
+
"dropout": 0.0,
|
| 109 |
+
"hidden_act": "gelu",
|
| 110 |
+
"hidden_size": 1024,
|
| 111 |
+
"image_size": 448,
|
| 112 |
+
"initializer_factor": 1.0,
|
| 113 |
+
"initializer_range": 0.02,
|
| 114 |
+
"intermediate_size": 4096,
|
| 115 |
+
"layer_norm_eps": 1e-06,
|
| 116 |
+
"model_type": "intern_vit_6b",
|
| 117 |
+
"norm_type": "layer_norm",
|
| 118 |
+
"num_attention_heads": 16,
|
| 119 |
+
"num_channels": 3,
|
| 120 |
+
"num_hidden_layers": 24,
|
| 121 |
+
"patch_size": 14,
|
| 122 |
+
"qk_normalization": false,
|
| 123 |
+
"qkv_bias": true,
|
| 124 |
+
"torch_dtype": "bfloat16",
|
| 125 |
+
"use_fa3": false,
|
| 126 |
+
"use_flash_attn": true
|
| 127 |
+
}
|
| 128 |
+
}
|
IQ4_NL/generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 151643,
|
| 4 |
+
"eos_token_id": 151645,
|
| 5 |
+
"pad_token_id": 151643,
|
| 6 |
+
"transformers_version": "4.51.0"
|
| 7 |
+
}
|
IQ4_NL/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
IQ4_NL/special_tokens_map.json
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<img>",
|
| 4 |
+
"</img>",
|
| 5 |
+
"<IMG_CONTEXT>",
|
| 6 |
+
"<quad>",
|
| 7 |
+
"</quad>",
|
| 8 |
+
"<ref>",
|
| 9 |
+
"</ref>",
|
| 10 |
+
"<box>",
|
| 11 |
+
"</box>"
|
| 12 |
+
],
|
| 13 |
+
"eos_token": {
|
| 14 |
+
"content": "<|im_end|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false
|
| 19 |
+
},
|
| 20 |
+
"pad_token": {
|
| 21 |
+
"content": "<|endoftext|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false
|
| 26 |
+
}
|
| 27 |
+
}
|
IQ4_NL/tokenizer_config.json
ADDED
|
@@ -0,0 +1,308 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": false,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"151643": {
|
| 7 |
+
"content": "<|endoftext|>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"151644": {
|
| 15 |
+
"content": "<|im_start|>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"151645": {
|
| 23 |
+
"content": "<|im_end|>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
},
|
| 30 |
+
"151646": {
|
| 31 |
+
"content": "<|object_ref_start|>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": true
|
| 37 |
+
},
|
| 38 |
+
"151647": {
|
| 39 |
+
"content": "<|object_ref_end|>",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": false,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"single_word": false,
|
| 44 |
+
"special": true
|
| 45 |
+
},
|
| 46 |
+
"151648": {
|
| 47 |
+
"content": "<|box_start|>",
|
| 48 |
+
"lstrip": false,
|
| 49 |
+
"normalized": false,
|
| 50 |
+
"rstrip": false,
|
| 51 |
+
"single_word": false,
|
| 52 |
+
"special": true
|
| 53 |
+
},
|
| 54 |
+
"151649": {
|
| 55 |
+
"content": "<|box_end|>",
|
| 56 |
+
"lstrip": false,
|
| 57 |
+
"normalized": false,
|
| 58 |
+
"rstrip": false,
|
| 59 |
+
"single_word": false,
|
| 60 |
+
"special": true
|
| 61 |
+
},
|
| 62 |
+
"151650": {
|
| 63 |
+
"content": "<|quad_start|>",
|
| 64 |
+
"lstrip": false,
|
| 65 |
+
"normalized": false,
|
| 66 |
+
"rstrip": false,
|
| 67 |
+
"single_word": false,
|
| 68 |
+
"special": true
|
| 69 |
+
},
|
| 70 |
+
"151651": {
|
| 71 |
+
"content": "<|quad_end|>",
|
| 72 |
+
"lstrip": false,
|
| 73 |
+
"normalized": false,
|
| 74 |
+
"rstrip": false,
|
| 75 |
+
"single_word": false,
|
| 76 |
+
"special": true
|
| 77 |
+
},
|
| 78 |
+
"151652": {
|
| 79 |
+
"content": "<|vision_start|>",
|
| 80 |
+
"lstrip": false,
|
| 81 |
+
"normalized": false,
|
| 82 |
+
"rstrip": false,
|
| 83 |
+
"single_word": false,
|
| 84 |
+
"special": true
|
| 85 |
+
},
|
| 86 |
+
"151653": {
|
| 87 |
+
"content": "<|vision_end|>",
|
| 88 |
+
"lstrip": false,
|
| 89 |
+
"normalized": false,
|
| 90 |
+
"rstrip": false,
|
| 91 |
+
"single_word": false,
|
| 92 |
+
"special": true
|
| 93 |
+
},
|
| 94 |
+
"151654": {
|
| 95 |
+
"content": "<|vision_pad|>",
|
| 96 |
+
"lstrip": false,
|
| 97 |
+
"normalized": false,
|
| 98 |
+
"rstrip": false,
|
| 99 |
+
"single_word": false,
|
| 100 |
+
"special": true
|
| 101 |
+
},
|
| 102 |
+
"151655": {
|
| 103 |
+
"content": "<|image_pad|>",
|
| 104 |
+
"lstrip": false,
|
| 105 |
+
"normalized": false,
|
| 106 |
+
"rstrip": false,
|
| 107 |
+
"single_word": false,
|
| 108 |
+
"special": true
|
| 109 |
+
},
|
| 110 |
+
"151656": {
|
| 111 |
+
"content": "<|video_pad|>",
|
| 112 |
+
"lstrip": false,
|
| 113 |
+
"normalized": false,
|
| 114 |
+
"rstrip": false,
|
| 115 |
+
"single_word": false,
|
| 116 |
+
"special": true
|
| 117 |
+
},
|
| 118 |
+
"151657": {
|
| 119 |
+
"content": "<tool_call>",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": false,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false,
|
| 124 |
+
"special": false
|
| 125 |
+
},
|
| 126 |
+
"151658": {
|
| 127 |
+
"content": "</tool_call>",
|
| 128 |
+
"lstrip": false,
|
| 129 |
+
"normalized": false,
|
| 130 |
+
"rstrip": false,
|
| 131 |
+
"single_word": false,
|
| 132 |
+
"special": false
|
| 133 |
+
},
|
| 134 |
+
"151659": {
|
| 135 |
+
"content": "<|fim_prefix|>",
|
| 136 |
+
"lstrip": false,
|
| 137 |
+
"normalized": false,
|
| 138 |
+
"rstrip": false,
|
| 139 |
+
"single_word": false,
|
| 140 |
+
"special": false
|
| 141 |
+
},
|
| 142 |
+
"151660": {
|
| 143 |
+
"content": "<|fim_middle|>",
|
| 144 |
+
"lstrip": false,
|
| 145 |
+
"normalized": false,
|
| 146 |
+
"rstrip": false,
|
| 147 |
+
"single_word": false,
|
| 148 |
+
"special": false
|
| 149 |
+
},
|
| 150 |
+
"151661": {
|
| 151 |
+
"content": "<|fim_suffix|>",
|
| 152 |
+
"lstrip": false,
|
| 153 |
+
"normalized": false,
|
| 154 |
+
"rstrip": false,
|
| 155 |
+
"single_word": false,
|
| 156 |
+
"special": false
|
| 157 |
+
},
|
| 158 |
+
"151662": {
|
| 159 |
+
"content": "<|fim_pad|>",
|
| 160 |
+
"lstrip": false,
|
| 161 |
+
"normalized": false,
|
| 162 |
+
"rstrip": false,
|
| 163 |
+
"single_word": false,
|
| 164 |
+
"special": false
|
| 165 |
+
},
|
| 166 |
+
"151663": {
|
| 167 |
+
"content": "<|repo_name|>",
|
| 168 |
+
"lstrip": false,
|
| 169 |
+
"normalized": false,
|
| 170 |
+
"rstrip": false,
|
| 171 |
+
"single_word": false,
|
| 172 |
+
"special": false
|
| 173 |
+
},
|
| 174 |
+
"151664": {
|
| 175 |
+
"content": "<|file_sep|>",
|
| 176 |
+
"lstrip": false,
|
| 177 |
+
"normalized": false,
|
| 178 |
+
"rstrip": false,
|
| 179 |
+
"single_word": false,
|
| 180 |
+
"special": false
|
| 181 |
+
},
|
| 182 |
+
"151665": {
|
| 183 |
+
"content": "<tool_response>",
|
| 184 |
+
"lstrip": false,
|
| 185 |
+
"normalized": false,
|
| 186 |
+
"rstrip": false,
|
| 187 |
+
"single_word": false,
|
| 188 |
+
"special": false
|
| 189 |
+
},
|
| 190 |
+
"151666": {
|
| 191 |
+
"content": "</tool_response>",
|
| 192 |
+
"lstrip": false,
|
| 193 |
+
"normalized": false,
|
| 194 |
+
"rstrip": false,
|
| 195 |
+
"single_word": false,
|
| 196 |
+
"special": false
|
| 197 |
+
},
|
| 198 |
+
"151667": {
|
| 199 |
+
"content": "<think>",
|
| 200 |
+
"lstrip": false,
|
| 201 |
+
"normalized": false,
|
| 202 |
+
"rstrip": false,
|
| 203 |
+
"single_word": false,
|
| 204 |
+
"special": false
|
| 205 |
+
},
|
| 206 |
+
"151668": {
|
| 207 |
+
"content": "</think>",
|
| 208 |
+
"lstrip": false,
|
| 209 |
+
"normalized": false,
|
| 210 |
+
"rstrip": false,
|
| 211 |
+
"single_word": false,
|
| 212 |
+
"special": false
|
| 213 |
+
},
|
| 214 |
+
"151669": {
|
| 215 |
+
"content": "<img>",
|
| 216 |
+
"lstrip": false,
|
| 217 |
+
"normalized": false,
|
| 218 |
+
"rstrip": false,
|
| 219 |
+
"single_word": false,
|
| 220 |
+
"special": true
|
| 221 |
+
},
|
| 222 |
+
"151670": {
|
| 223 |
+
"content": "</img>",
|
| 224 |
+
"lstrip": false,
|
| 225 |
+
"normalized": false,
|
| 226 |
+
"rstrip": false,
|
| 227 |
+
"single_word": false,
|
| 228 |
+
"special": true
|
| 229 |
+
},
|
| 230 |
+
"151671": {
|
| 231 |
+
"content": "<IMG_CONTEXT>",
|
| 232 |
+
"lstrip": false,
|
| 233 |
+
"normalized": false,
|
| 234 |
+
"rstrip": false,
|
| 235 |
+
"single_word": false,
|
| 236 |
+
"special": true
|
| 237 |
+
},
|
| 238 |
+
"151672": {
|
| 239 |
+
"content": "<quad>",
|
| 240 |
+
"lstrip": false,
|
| 241 |
+
"normalized": false,
|
| 242 |
+
"rstrip": false,
|
| 243 |
+
"single_word": false,
|
| 244 |
+
"special": true
|
| 245 |
+
},
|
| 246 |
+
"151673": {
|
| 247 |
+
"content": "</quad>",
|
| 248 |
+
"lstrip": false,
|
| 249 |
+
"normalized": false,
|
| 250 |
+
"rstrip": false,
|
| 251 |
+
"single_word": false,
|
| 252 |
+
"special": true
|
| 253 |
+
},
|
| 254 |
+
"151674": {
|
| 255 |
+
"content": "<ref>",
|
| 256 |
+
"lstrip": false,
|
| 257 |
+
"normalized": false,
|
| 258 |
+
"rstrip": false,
|
| 259 |
+
"single_word": false,
|
| 260 |
+
"special": true
|
| 261 |
+
},
|
| 262 |
+
"151675": {
|
| 263 |
+
"content": "</ref>",
|
| 264 |
+
"lstrip": false,
|
| 265 |
+
"normalized": false,
|
| 266 |
+
"rstrip": false,
|
| 267 |
+
"single_word": false,
|
| 268 |
+
"special": true
|
| 269 |
+
},
|
| 270 |
+
"151676": {
|
| 271 |
+
"content": "<box>",
|
| 272 |
+
"lstrip": false,
|
| 273 |
+
"normalized": false,
|
| 274 |
+
"rstrip": false,
|
| 275 |
+
"single_word": false,
|
| 276 |
+
"special": true
|
| 277 |
+
},
|
| 278 |
+
"151677": {
|
| 279 |
+
"content": "</box>",
|
| 280 |
+
"lstrip": false,
|
| 281 |
+
"normalized": false,
|
| 282 |
+
"rstrip": false,
|
| 283 |
+
"single_word": false,
|
| 284 |
+
"special": true
|
| 285 |
+
}
|
| 286 |
+
},
|
| 287 |
+
"additional_special_tokens": [
|
| 288 |
+
"<img>",
|
| 289 |
+
"</img>",
|
| 290 |
+
"<IMG_CONTEXT>",
|
| 291 |
+
"<quad>",
|
| 292 |
+
"</quad>",
|
| 293 |
+
"<ref>",
|
| 294 |
+
"</ref>",
|
| 295 |
+
"<box>",
|
| 296 |
+
"</box>"
|
| 297 |
+
],
|
| 298 |
+
"bos_token": null,
|
| 299 |
+
"clean_up_tokenization_spaces": false,
|
| 300 |
+
"eos_token": "<|im_end|>",
|
| 301 |
+
"errors": "replace",
|
| 302 |
+
"extra_special_tokens": {},
|
| 303 |
+
"model_max_length": 8192,
|
| 304 |
+
"pad_token": "<|endoftext|>",
|
| 305 |
+
"split_special_tokens": false,
|
| 306 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 307 |
+
"unk_token": null
|
| 308 |
+
}
|
IQ4_NL/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
IQ4_XS/Qolda-IQ4_XS.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cc4f5a37e8e19b336e55a4ecb67b356d3c905d6f17ac674f115bc3e92e7c395a
|
| 3 |
+
size 2286316096
|
IQ4_XS/README.md
ADDED
|
@@ -0,0 +1,199 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- kk
|
| 4 |
+
- ru
|
| 5 |
+
- en
|
| 6 |
+
base_model:
|
| 7 |
+
- OpenGVLab/InternVL3_5-4B
|
| 8 |
+
pipeline_tag: image-text-to-text
|
| 9 |
+
---
|
| 10 |
+
[Қазақша](#кіріспе) [English](#introduction)
|
| 11 |
+
|
| 12 |
+
# Qolda
|
| 13 |
+
[](https://github.com/IS2AI/Qolda-deployment)
|
| 14 |
+
[](https://www.apache.org/licenses/LICENSE-2.0)
|
| 15 |
+
|
| 16 |
+
## Introduction
|
| 17 |
+
Built on top of InternVL3.5 and Qwen3, **Qolda** is a small vision-language model designed to operate in Kazakh, Russian, and English. The model has 4.3B parameters and comprises the InternViT-300M vision encoder and MLP Projector components from [InternVL3.5-4B](https://huggingface.co/OpenGVLab/InternVL3_5-4B), along with the [Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) language model. Model training was performed using the [InternVL framework](https://github.com/OpenGVLab/InternVL) 💙
|
| 18 |
+
|
| 19 |
+
The name "Qolda" reflects both its design and purpose in Kazakh: "in hand" (қолда) for its compact accessibility, and "to support" (қолдау) for its assistive nature.
|
| 20 |
+
|
| 21 |
+
## Evaluation Results
|
| 22 |
+
Evaluation was conducted separately for text-only and vision-language modalities. Qolda demonstrates significant performance improvements for Kazakh while maintaining comparable performance on Russian and English.
|
| 23 |
+
|
| 24 |
+
### Text Benchmarks
|
| 25 |
+
|
| 26 |
+
*Performance comparison on language tasks including MMLU, Winogrande, HellaSwag, ARC, GSM8K, and DROP.*
|
| 27 |
+
|
| 28 |
+
**Note:** The comparison below presents Qolda's performance against Qwen3-4B on **Kazakh** language benchmarks only. Evaluation results for additional models and performance on Russian and English will be added later.
|
| 29 |
+
|
| 30 |
+
| Model | Mode | Avg | MMLU | Winogrande | HellaSwag | ARC | GSM8K | DROP |
|
| 31 |
+
|-------|------|-----|------|------------|-----------|-----|-------|------|
|
| 32 |
+
| Qwen3-4B | Direct | 52.00 | 42.43 | 56.88 | 42.04 | 64.77 | 73.62 | 32.27 |
|
| 33 |
+
| Qwen3-4B | Think | 57.73 | 52.98 | 51.27 | 41.86 | 79.65 | 64.82 | 55.81 |
|
| 34 |
+
| Qolda | Direct | 58.77 | 46.55 | 56.37 | 55.75 | 73.62 | 63.50 | 56.84 |
|
| 35 |
+
| Qolda | Think | **71.64** | **64.56** | **70.54** | **57.70** | **89.99** | **79.47** | **67.59** |
|
| 36 |
+
|
| 37 |
+
### Vision Benchmarks
|
| 38 |
+
|
| 39 |
+
*Performance comparison on vision-language tasks including AI2D, MMStar, RealWorldQA, and KazakhOCR.*
|
| 40 |
+
|
| 41 |
+
**Note:** The comparison below presents Qolda's performance against InternVL3.5-4B on **Kazakh** vision-language benchmarks only. Evaluation results for additional models and performance on Russian and English will be added later.
|
| 42 |
+
|
| 43 |
+
| Model | Mode | Avg | AI2D | MMStar | RealWorldQA | KazakhOCR |
|
| 44 |
+
|-------|------|--------|--------|----------|---------------|-------------|
|
| 45 |
+
| InternVL3.5-4B | Direct | 42.23 | 52.33 | 47.47 | 38.32 | 30.81 |
|
| 46 |
+
| InternVL3.5-4B | Think | 42.58 | 51.42 | 49.33 | 38.74 | 30.81 |
|
| 47 |
+
| Qolda | Direct | 59.39 | 66.06 | 55.47 | 54.97 | **61.06** |
|
| 48 |
+
| Qolda | Think | **60.44** | **67.62** | **56.53** | **57.07** | 60.54 |
|
| 49 |
+
|
| 50 |
+
## Model Usage
|
| 51 |
+
To run inference with Transformers, please follow the [guidelines](https://huggingface.co/OpenGVLab/InternVL3_5-4B#inference-with-transformers) from InternVL.
|
| 52 |
+
|
| 53 |
+
Alternatively, to run the model via an OpenAI-compatible server, you can use lmdeploy:
|
| 54 |
+
```bash
|
| 55 |
+
pip install lmdeploy>=0.9.1
|
| 56 |
+
|
| 57 |
+
lmdeploy serve api_server issai/Qolda --server-port 23333 --tp 1 --backend pytorch
|
| 58 |
+
```
|
| 59 |
+
|
| 60 |
+
**Note:** Unlike the original InternVL3.5, this model requires the `enable_thinking` parameter to be explicitly set in the `extra_body` of your API calls. However, depending on the task complexity, an empty thinking response might be generated.
|
| 61 |
+
|
| 62 |
+
Then, make a standard API call:
|
| 63 |
+
|
| 64 |
+
```python
|
| 65 |
+
import base64
|
| 66 |
+
from openai import OpenAI
|
| 67 |
+
|
| 68 |
+
client = OpenAI(api_key='YOUR_API_KEY', base_url='http://0.0.0.0:23333/v1')
|
| 69 |
+
|
| 70 |
+
def encode_image(image_path):
|
| 71 |
+
with open(image_path, "rb") as image_file:
|
| 72 |
+
return base64.b64encode(image_file.read()).decode('utf-8')
|
| 73 |
+
|
| 74 |
+
image_path = "./assets/eval-results-text.png"
|
| 75 |
+
|
| 76 |
+
response = client.chat.completions.create(
|
| 77 |
+
model=client.models.list().data[0].id,
|
| 78 |
+
messages=[{
|
| 79 |
+
'role': 'user',
|
| 80 |
+
'content': [
|
| 81 |
+
{
|
| 82 |
+
'type': 'text',
|
| 83 |
+
'text': 'Берілген диаграмманың сипаттамасын бер.'
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
'type': 'image_url',
|
| 87 |
+
'image_url': {
|
| 88 |
+
'url': f'data:image/png;base64,{encode_image(image_path)}',
|
| 89 |
+
},
|
| 90 |
+
}
|
| 91 |
+
],
|
| 92 |
+
}],
|
| 93 |
+
max_tokens=8192,
|
| 94 |
+
temperature=0.6,
|
| 95 |
+
top_p=0.95,
|
| 96 |
+
extra_body={
|
| 97 |
+
"top_k": 20,
|
| 98 |
+
"enable_thinking": True
|
| 99 |
+
},
|
| 100 |
+
)
|
| 101 |
+
|
| 102 |
+
print(response.choices[0].message.content)
|
| 103 |
+
```
|
| 104 |
+
|
| 105 |
+
## License
|
| 106 |
+
This model is licensed under the Apache License 2.0.
|
| 107 |
+
|
| 108 |
+
|
| 109 |
+
## Кіріспе
|
| 110 |
+
InternVL3.5 және Qwen3 негізінде жаса��ған **Qolda** — қазақ, орыс және ағылшын тілдерінде жұмыс істеуге арналған шағын көру-тілдік моделі (vision-language model). Модель 4,3 млрд параметрге ие және [InternVL3.5-4B](https://huggingface.co/OpenGVLab/InternVL3_5-4B) моделінің InternViT-300M көру энкодері мен MLP проектор компоненттерін, сондай-ақ [Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) тілдік моделін қамтиды. Модельді оқыту [InternVL фреймворкі](https://github.com/OpenGVLab/InternVL) көмегімен жүзеге асырылды 💙
|
| 111 |
+
|
| 112 |
+
"Qolda" атауы модельдің дизайны мен мақсатын қазақ тіліндегі қолда сөзінің қос мағынасы арқылы көрсетеді. Біріншісі, шағын әрі қолжетімді болуы үшін "қолда" cөзі арқылы және екіншісі, көмекші табиғаты үшін, "қолдау" мағынасы арқылы.
|
| 113 |
+
|
| 114 |
+
## Бағалау нәтижелері
|
| 115 |
+
Мәтіндік және көру-тілдік модальділіктер үшін бағалау бөлек жүргізілді. Qolda орыс және ағылшын тілдеріндегі өзінің бастапқы деңгейін сақтай отырып, қазақ тіліндегі өнімділігін айтарлықтай жақсартты.
|
| 116 |
+
|
| 117 |
+
### Мәтіндік бенчмарктар
|
| 118 |
+
|
| 119 |
+
*MMLU, Winogrande, HellaSwag, ARC, GSM8K және DROP сияқты тілдік тапсырмалардағы өнімділікті салыстыру.*
|
| 120 |
+
|
| 121 |
+
**Ескерту:** Төмендегі кестедегі Qolda және Qwen3-4B модельдерінің салыстырылуы тек **қазақ** тіліндегі бенчмарктар нәтижелерін көрсетеді. Басқа модельдердің өнімділігі, сондай-ақ орыс және ағылшын тілдеріндегі көрсеткіштер кейінірек ұсынылады.
|
| 122 |
+
|
| 123 |
+
| Model | Mode | Avg | MMLU | Winogrande | HellaSwag | ARC | GSM8K | DROP |
|
| 124 |
+
|-------|------|-----|------|------------|-----------|-----|-------|------|
|
| 125 |
+
| Qwen3-4B | Direct | 52.00 | 42.43 | 56.88 | 42.04 | 64.77 | 73.62 | 32.27 |
|
| 126 |
+
| Qwen3-4B | Think | 57.73 | 52.98 | 51.27 | 41.86 | 79.65 | 64.82 | 55.81 |
|
| 127 |
+
| Qolda | Direct | 58.77 | 46.55 | 56.37 | 55.75 | 73.62 | 63.50 | 56.84 |
|
| 128 |
+
| Qolda | Think | **71.64** | **64.56** | **70.54** | **57.70** | **89.99** | **79.47** | **67.59** |
|
| 129 |
+
|
| 130 |
+
### Көру бенчмарктары
|
| 131 |
+
|
| 132 |
+
*AI2D, MMStar, RealWorldQA және KazakhOCR сияқты көру-тілдік тапсырмаларындағы өнімділікті салыстыру.*
|
| 133 |
+
|
| 134 |
+
**Ескерту:** Төмендегі кестедегі Qolda және InternVL3.5-4B модельдерінің салыстырылуы тек **қазақ** тіліндегі көру-тілдік бенчмарктар нәтижелерін көрсетеді. Басқа модельдердің өнімділігі, сондай-ақ орыс және ағылшын тілдеріндегі көрсеткіштер кейінірек ұсынылады.
|
| 135 |
+
|
| 136 |
+
| Model | Mode | Avg | AI2D | MMStar | RealWorldQA | KazakhOCR |
|
| 137 |
+
|-------|------|--------|--------|----------|---------------|-------------|
|
| 138 |
+
| InternVL3.5-4B | Direct | 42.23 | 52.33 | 47.47 | 38.32 | 30.81 |
|
| 139 |
+
| InternVL3.5-4B | Think | 42.58 | 51.42 | 49.33 | 38.74 | 30.81 |
|
| 140 |
+
| Qolda | Direct | 59.39 | 66.06 | 55.47 | 54.97 | **61.06** |
|
| 141 |
+
| Qolda | Think | **60.44** | **67.62** | **56.53** | **57.07** | 60.54 |
|
| 142 |
+
|
| 143 |
+
## Модельді қолдану
|
| 144 |
+
Transformers арқылы инференсті іске қосу үшін InternVL ұсынған [нұсқаулықтарды](https://huggingface.co/OpenGVLab/InternVL3_5-4B#inference-with-transformers) орындаңыз.
|
| 145 |
+
|
| 146 |
+
Немесе, модельді OpenAI-үйлесімді сервер арқылы іске қосу үшін lmdeploy құралын пайдалануға болады:
|
| 147 |
+
```bash
|
| 148 |
+
pip install lmdeploy>=0.9.1
|
| 149 |
+
|
| 150 |
+
lmdeploy serve api_server issai/Qolda --server-port 23333 --tp 1 --backend pytorch
|
| 151 |
+
```
|
| 152 |
+
|
| 153 |
+
**Ескерту:** Qolda-ның түпнұсқалық InternVL3.5-тен айырмашылығы, бұл модель API call жасаған кезде `extra_body` бөлігінде `enable_thinking` параметрінің нақты орнатылуын талап етеді. Тапсырманың күрделілігіне байланысты бос thinking жауабы қайтарылуы мүмкін.
|
| 154 |
+
|
| 155 |
+
Содан соң, стандартты API call жасаңыз:
|
| 156 |
+
|
| 157 |
+
```python
|
| 158 |
+
import base64
|
| 159 |
+
from openai import OpenAI
|
| 160 |
+
|
| 161 |
+
client = OpenAI(api_key='YOUR_API_KEY', base_url='http://0.0.0.0:23333/v1')
|
| 162 |
+
|
| 163 |
+
def encode_image(image_path):
|
| 164 |
+
with open(image_path, "rb") as image_file:
|
| 165 |
+
return base64.b64encode(image_file.read()).decode('utf-8')
|
| 166 |
+
|
| 167 |
+
image_path = "./assets/eval-results-text.png"
|
| 168 |
+
|
| 169 |
+
response = client.chat.completions.create(
|
| 170 |
+
model=client.models.list().data[0].id,
|
| 171 |
+
messages=[{
|
| 172 |
+
'role': 'user',
|
| 173 |
+
'content': [
|
| 174 |
+
{
|
| 175 |
+
'type': 'text',
|
| 176 |
+
'text': 'Берілген диаграмманың сипаттамасын бер.'
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
'type': 'image_url',
|
| 180 |
+
'image_url': {
|
| 181 |
+
'url': f'data:image/png;base64,{encode_image(image_path)}',
|
| 182 |
+
},
|
| 183 |
+
}
|
| 184 |
+
],
|
| 185 |
+
}],
|
| 186 |
+
max_tokens=8192,
|
| 187 |
+
temperature=0.6,
|
| 188 |
+
top_p=0.95,
|
| 189 |
+
extra_body={
|
| 190 |
+
"top_k": 20,
|
| 191 |
+
"enable_thinking": True
|
| 192 |
+
},
|
| 193 |
+
)
|
| 194 |
+
|
| 195 |
+
print(response.choices[0].message.content)
|
| 196 |
+
```
|
| 197 |
+
|
| 198 |
+
## Лицензия
|
| 199 |
+
Бұл модель Apache License 2.0 бойынша лицензияланған.
|
IQ4_XS/config.json
ADDED
|
@@ -0,0 +1,128 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"InternVLChatModel"
|
| 4 |
+
],
|
| 5 |
+
"auto_map": {
|
| 6 |
+
"AutoConfig": "configuration_internvl_chat.InternVLChatConfig",
|
| 7 |
+
"AutoModel": "modeling_internvl_chat.InternVLChatModel",
|
| 8 |
+
"AutoModelForCausalLM": "modeling_internvl_chat.InternVLChatModel"
|
| 9 |
+
},
|
| 10 |
+
"downsample_ratio": 0.5,
|
| 11 |
+
"dynamic_image_size": true,
|
| 12 |
+
"eos_token_id": 151645,
|
| 13 |
+
"force_image_size": 448,
|
| 14 |
+
"hidden_size": 2560,
|
| 15 |
+
"llm_config": {
|
| 16 |
+
"_attn_implementation_autoset": true,
|
| 17 |
+
"architectures": [
|
| 18 |
+
"Qwen3ForCausalLM"
|
| 19 |
+
],
|
| 20 |
+
"attention_bias": false,
|
| 21 |
+
"attention_dropout": 0.0,
|
| 22 |
+
"eos_token_id": 151645,
|
| 23 |
+
"head_dim": 128,
|
| 24 |
+
"hidden_act": "silu",
|
| 25 |
+
"hidden_size": 2560,
|
| 26 |
+
"initializer_range": 0.02,
|
| 27 |
+
"intermediate_size": 9728,
|
| 28 |
+
"layer_types": [
|
| 29 |
+
"full_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"full_attention",
|
| 43 |
+
"full_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"full_attention",
|
| 47 |
+
"full_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"full_attention",
|
| 50 |
+
"full_attention",
|
| 51 |
+
"full_attention",
|
| 52 |
+
"full_attention",
|
| 53 |
+
"full_attention",
|
| 54 |
+
"full_attention",
|
| 55 |
+
"full_attention",
|
| 56 |
+
"full_attention",
|
| 57 |
+
"full_attention",
|
| 58 |
+
"full_attention",
|
| 59 |
+
"full_attention",
|
| 60 |
+
"full_attention",
|
| 61 |
+
"full_attention",
|
| 62 |
+
"full_attention",
|
| 63 |
+
"full_attention",
|
| 64 |
+
"full_attention"
|
| 65 |
+
],
|
| 66 |
+
"max_position_embeddings": 40960,
|
| 67 |
+
"max_window_layers": 36,
|
| 68 |
+
"model_type": "qwen3",
|
| 69 |
+
"num_attention_heads": 32,
|
| 70 |
+
"num_hidden_layers": 36,
|
| 71 |
+
"num_key_value_heads": 8,
|
| 72 |
+
"rms_norm_eps": 1e-06,
|
| 73 |
+
"rope_scaling": null,
|
| 74 |
+
"rope_theta": 1000000,
|
| 75 |
+
"sliding_window": null,
|
| 76 |
+
"tie_word_embeddings": true,
|
| 77 |
+
"torch_dtype": "bfloat16",
|
| 78 |
+
"use_cache": false,
|
| 79 |
+
"use_sliding_window": false,
|
| 80 |
+
"vocab_size": 151936
|
| 81 |
+
},
|
| 82 |
+
"max_dynamic_patch": 12,
|
| 83 |
+
"min_dynamic_patch": 1,
|
| 84 |
+
"model_type": "internvl_chat",
|
| 85 |
+
"output_attentions": false,
|
| 86 |
+
"pad2square": false,
|
| 87 |
+
"pad_token_id": 151643,
|
| 88 |
+
"ps_version": "v2",
|
| 89 |
+
"select_layer": -1,
|
| 90 |
+
"template": "internvl2_5",
|
| 91 |
+
"tie_word_embeddings": true,
|
| 92 |
+
"torch_dtype": "bfloat16",
|
| 93 |
+
"transformers_version": null,
|
| 94 |
+
"use_backbone_lora": 0,
|
| 95 |
+
"use_llm_lora": 0,
|
| 96 |
+
"use_thumbnail": true,
|
| 97 |
+
"vision_config": {
|
| 98 |
+
"_attn_implementation_autoset": true,
|
| 99 |
+
"architectures": [
|
| 100 |
+
"InternVisionModel"
|
| 101 |
+
],
|
| 102 |
+
"attention_dropout": 0.0,
|
| 103 |
+
"auto_map": {
|
| 104 |
+
"AutoConfig": "configuration_intern_vit.InternVisionConfig",
|
| 105 |
+
"AutoModel": "modeling_intern_vit.InternVisionModel"
|
| 106 |
+
},
|
| 107 |
+
"drop_path_rate": 0.0,
|
| 108 |
+
"dropout": 0.0,
|
| 109 |
+
"hidden_act": "gelu",
|
| 110 |
+
"hidden_size": 1024,
|
| 111 |
+
"image_size": 448,
|
| 112 |
+
"initializer_factor": 1.0,
|
| 113 |
+
"initializer_range": 0.02,
|
| 114 |
+
"intermediate_size": 4096,
|
| 115 |
+
"layer_norm_eps": 1e-06,
|
| 116 |
+
"model_type": "intern_vit_6b",
|
| 117 |
+
"norm_type": "layer_norm",
|
| 118 |
+
"num_attention_heads": 16,
|
| 119 |
+
"num_channels": 3,
|
| 120 |
+
"num_hidden_layers": 24,
|
| 121 |
+
"patch_size": 14,
|
| 122 |
+
"qk_normalization": false,
|
| 123 |
+
"qkv_bias": true,
|
| 124 |
+
"torch_dtype": "bfloat16",
|
| 125 |
+
"use_fa3": false,
|
| 126 |
+
"use_flash_attn": true
|
| 127 |
+
}
|
| 128 |
+
}
|
IQ4_XS/generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 151643,
|
| 4 |
+
"eos_token_id": 151645,
|
| 5 |
+
"pad_token_id": 151643,
|
| 6 |
+
"transformers_version": "4.51.0"
|
| 7 |
+
}
|
IQ4_XS/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
IQ4_XS/special_tokens_map.json
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<img>",
|
| 4 |
+
"</img>",
|
| 5 |
+
"<IMG_CONTEXT>",
|
| 6 |
+
"<quad>",
|
| 7 |
+
"</quad>",
|
| 8 |
+
"<ref>",
|
| 9 |
+
"</ref>",
|
| 10 |
+
"<box>",
|
| 11 |
+
"</box>"
|
| 12 |
+
],
|
| 13 |
+
"eos_token": {
|
| 14 |
+
"content": "<|im_end|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false
|
| 19 |
+
},
|
| 20 |
+
"pad_token": {
|
| 21 |
+
"content": "<|endoftext|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false
|
| 26 |
+
}
|
| 27 |
+
}
|
IQ4_XS/tokenizer_config.json
ADDED
|
@@ -0,0 +1,308 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": false,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"151643": {
|
| 7 |
+
"content": "<|endoftext|>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"151644": {
|
| 15 |
+
"content": "<|im_start|>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"151645": {
|
| 23 |
+
"content": "<|im_end|>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
},
|
| 30 |
+
"151646": {
|
| 31 |
+
"content": "<|object_ref_start|>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": true
|
| 37 |
+
},
|
| 38 |
+
"151647": {
|
| 39 |
+
"content": "<|object_ref_end|>",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": false,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"single_word": false,
|
| 44 |
+
"special": true
|
| 45 |
+
},
|
| 46 |
+
"151648": {
|
| 47 |
+
"content": "<|box_start|>",
|
| 48 |
+
"lstrip": false,
|
| 49 |
+
"normalized": false,
|
| 50 |
+
"rstrip": false,
|
| 51 |
+
"single_word": false,
|
| 52 |
+
"special": true
|
| 53 |
+
},
|
| 54 |
+
"151649": {
|
| 55 |
+
"content": "<|box_end|>",
|
| 56 |
+
"lstrip": false,
|
| 57 |
+
"normalized": false,
|
| 58 |
+
"rstrip": false,
|
| 59 |
+
"single_word": false,
|
| 60 |
+
"special": true
|
| 61 |
+
},
|
| 62 |
+
"151650": {
|
| 63 |
+
"content": "<|quad_start|>",
|
| 64 |
+
"lstrip": false,
|
| 65 |
+
"normalized": false,
|
| 66 |
+
"rstrip": false,
|
| 67 |
+
"single_word": false,
|
| 68 |
+
"special": true
|
| 69 |
+
},
|
| 70 |
+
"151651": {
|
| 71 |
+
"content": "<|quad_end|>",
|
| 72 |
+
"lstrip": false,
|
| 73 |
+
"normalized": false,
|
| 74 |
+
"rstrip": false,
|
| 75 |
+
"single_word": false,
|
| 76 |
+
"special": true
|
| 77 |
+
},
|
| 78 |
+
"151652": {
|
| 79 |
+
"content": "<|vision_start|>",
|
| 80 |
+
"lstrip": false,
|
| 81 |
+
"normalized": false,
|
| 82 |
+
"rstrip": false,
|
| 83 |
+
"single_word": false,
|
| 84 |
+
"special": true
|
| 85 |
+
},
|
| 86 |
+
"151653": {
|
| 87 |
+
"content": "<|vision_end|>",
|
| 88 |
+
"lstrip": false,
|
| 89 |
+
"normalized": false,
|
| 90 |
+
"rstrip": false,
|
| 91 |
+
"single_word": false,
|
| 92 |
+
"special": true
|
| 93 |
+
},
|
| 94 |
+
"151654": {
|
| 95 |
+
"content": "<|vision_pad|>",
|
| 96 |
+
"lstrip": false,
|
| 97 |
+
"normalized": false,
|
| 98 |
+
"rstrip": false,
|
| 99 |
+
"single_word": false,
|
| 100 |
+
"special": true
|
| 101 |
+
},
|
| 102 |
+
"151655": {
|
| 103 |
+
"content": "<|image_pad|>",
|
| 104 |
+
"lstrip": false,
|
| 105 |
+
"normalized": false,
|
| 106 |
+
"rstrip": false,
|
| 107 |
+
"single_word": false,
|
| 108 |
+
"special": true
|
| 109 |
+
},
|
| 110 |
+
"151656": {
|
| 111 |
+
"content": "<|video_pad|>",
|
| 112 |
+
"lstrip": false,
|
| 113 |
+
"normalized": false,
|
| 114 |
+
"rstrip": false,
|
| 115 |
+
"single_word": false,
|
| 116 |
+
"special": true
|
| 117 |
+
},
|
| 118 |
+
"151657": {
|
| 119 |
+
"content": "<tool_call>",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": false,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false,
|
| 124 |
+
"special": false
|
| 125 |
+
},
|
| 126 |
+
"151658": {
|
| 127 |
+
"content": "</tool_call>",
|
| 128 |
+
"lstrip": false,
|
| 129 |
+
"normalized": false,
|
| 130 |
+
"rstrip": false,
|
| 131 |
+
"single_word": false,
|
| 132 |
+
"special": false
|
| 133 |
+
},
|
| 134 |
+
"151659": {
|
| 135 |
+
"content": "<|fim_prefix|>",
|
| 136 |
+
"lstrip": false,
|
| 137 |
+
"normalized": false,
|
| 138 |
+
"rstrip": false,
|
| 139 |
+
"single_word": false,
|
| 140 |
+
"special": false
|
| 141 |
+
},
|
| 142 |
+
"151660": {
|
| 143 |
+
"content": "<|fim_middle|>",
|
| 144 |
+
"lstrip": false,
|
| 145 |
+
"normalized": false,
|
| 146 |
+
"rstrip": false,
|
| 147 |
+
"single_word": false,
|
| 148 |
+
"special": false
|
| 149 |
+
},
|
| 150 |
+
"151661": {
|
| 151 |
+
"content": "<|fim_suffix|>",
|
| 152 |
+
"lstrip": false,
|
| 153 |
+
"normalized": false,
|
| 154 |
+
"rstrip": false,
|
| 155 |
+
"single_word": false,
|
| 156 |
+
"special": false
|
| 157 |
+
},
|
| 158 |
+
"151662": {
|
| 159 |
+
"content": "<|fim_pad|>",
|
| 160 |
+
"lstrip": false,
|
| 161 |
+
"normalized": false,
|
| 162 |
+
"rstrip": false,
|
| 163 |
+
"single_word": false,
|
| 164 |
+
"special": false
|
| 165 |
+
},
|
| 166 |
+
"151663": {
|
| 167 |
+
"content": "<|repo_name|>",
|
| 168 |
+
"lstrip": false,
|
| 169 |
+
"normalized": false,
|
| 170 |
+
"rstrip": false,
|
| 171 |
+
"single_word": false,
|
| 172 |
+
"special": false
|
| 173 |
+
},
|
| 174 |
+
"151664": {
|
| 175 |
+
"content": "<|file_sep|>",
|
| 176 |
+
"lstrip": false,
|
| 177 |
+
"normalized": false,
|
| 178 |
+
"rstrip": false,
|
| 179 |
+
"single_word": false,
|
| 180 |
+
"special": false
|
| 181 |
+
},
|
| 182 |
+
"151665": {
|
| 183 |
+
"content": "<tool_response>",
|
| 184 |
+
"lstrip": false,
|
| 185 |
+
"normalized": false,
|
| 186 |
+
"rstrip": false,
|
| 187 |
+
"single_word": false,
|
| 188 |
+
"special": false
|
| 189 |
+
},
|
| 190 |
+
"151666": {
|
| 191 |
+
"content": "</tool_response>",
|
| 192 |
+
"lstrip": false,
|
| 193 |
+
"normalized": false,
|
| 194 |
+
"rstrip": false,
|
| 195 |
+
"single_word": false,
|
| 196 |
+
"special": false
|
| 197 |
+
},
|
| 198 |
+
"151667": {
|
| 199 |
+
"content": "<think>",
|
| 200 |
+
"lstrip": false,
|
| 201 |
+
"normalized": false,
|
| 202 |
+
"rstrip": false,
|
| 203 |
+
"single_word": false,
|
| 204 |
+
"special": false
|
| 205 |
+
},
|
| 206 |
+
"151668": {
|
| 207 |
+
"content": "</think>",
|
| 208 |
+
"lstrip": false,
|
| 209 |
+
"normalized": false,
|
| 210 |
+
"rstrip": false,
|
| 211 |
+
"single_word": false,
|
| 212 |
+
"special": false
|
| 213 |
+
},
|
| 214 |
+
"151669": {
|
| 215 |
+
"content": "<img>",
|
| 216 |
+
"lstrip": false,
|
| 217 |
+
"normalized": false,
|
| 218 |
+
"rstrip": false,
|
| 219 |
+
"single_word": false,
|
| 220 |
+
"special": true
|
| 221 |
+
},
|
| 222 |
+
"151670": {
|
| 223 |
+
"content": "</img>",
|
| 224 |
+
"lstrip": false,
|
| 225 |
+
"normalized": false,
|
| 226 |
+
"rstrip": false,
|
| 227 |
+
"single_word": false,
|
| 228 |
+
"special": true
|
| 229 |
+
},
|
| 230 |
+
"151671": {
|
| 231 |
+
"content": "<IMG_CONTEXT>",
|
| 232 |
+
"lstrip": false,
|
| 233 |
+
"normalized": false,
|
| 234 |
+
"rstrip": false,
|
| 235 |
+
"single_word": false,
|
| 236 |
+
"special": true
|
| 237 |
+
},
|
| 238 |
+
"151672": {
|
| 239 |
+
"content": "<quad>",
|
| 240 |
+
"lstrip": false,
|
| 241 |
+
"normalized": false,
|
| 242 |
+
"rstrip": false,
|
| 243 |
+
"single_word": false,
|
| 244 |
+
"special": true
|
| 245 |
+
},
|
| 246 |
+
"151673": {
|
| 247 |
+
"content": "</quad>",
|
| 248 |
+
"lstrip": false,
|
| 249 |
+
"normalized": false,
|
| 250 |
+
"rstrip": false,
|
| 251 |
+
"single_word": false,
|
| 252 |
+
"special": true
|
| 253 |
+
},
|
| 254 |
+
"151674": {
|
| 255 |
+
"content": "<ref>",
|
| 256 |
+
"lstrip": false,
|
| 257 |
+
"normalized": false,
|
| 258 |
+
"rstrip": false,
|
| 259 |
+
"single_word": false,
|
| 260 |
+
"special": true
|
| 261 |
+
},
|
| 262 |
+
"151675": {
|
| 263 |
+
"content": "</ref>",
|
| 264 |
+
"lstrip": false,
|
| 265 |
+
"normalized": false,
|
| 266 |
+
"rstrip": false,
|
| 267 |
+
"single_word": false,
|
| 268 |
+
"special": true
|
| 269 |
+
},
|
| 270 |
+
"151676": {
|
| 271 |
+
"content": "<box>",
|
| 272 |
+
"lstrip": false,
|
| 273 |
+
"normalized": false,
|
| 274 |
+
"rstrip": false,
|
| 275 |
+
"single_word": false,
|
| 276 |
+
"special": true
|
| 277 |
+
},
|
| 278 |
+
"151677": {
|
| 279 |
+
"content": "</box>",
|
| 280 |
+
"lstrip": false,
|
| 281 |
+
"normalized": false,
|
| 282 |
+
"rstrip": false,
|
| 283 |
+
"single_word": false,
|
| 284 |
+
"special": true
|
| 285 |
+
}
|
| 286 |
+
},
|
| 287 |
+
"additional_special_tokens": [
|
| 288 |
+
"<img>",
|
| 289 |
+
"</img>",
|
| 290 |
+
"<IMG_CONTEXT>",
|
| 291 |
+
"<quad>",
|
| 292 |
+
"</quad>",
|
| 293 |
+
"<ref>",
|
| 294 |
+
"</ref>",
|
| 295 |
+
"<box>",
|
| 296 |
+
"</box>"
|
| 297 |
+
],
|
| 298 |
+
"bos_token": null,
|
| 299 |
+
"clean_up_tokenization_spaces": false,
|
| 300 |
+
"eos_token": "<|im_end|>",
|
| 301 |
+
"errors": "replace",
|
| 302 |
+
"extra_special_tokens": {},
|
| 303 |
+
"model_max_length": 8192,
|
| 304 |
+
"pad_token": "<|endoftext|>",
|
| 305 |
+
"split_special_tokens": false,
|
| 306 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 307 |
+
"unk_token": null
|
| 308 |
+
}
|
IQ4_XS/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Q2_K/Qolda-Q2_K.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:136e01918c5161c389595bb15e664a44ad9dfd41034f8aa8a0d3840e94add17f
|
| 3 |
+
size 1669499456
|
Q2_K/README.md
ADDED
|
@@ -0,0 +1,199 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- kk
|
| 4 |
+
- ru
|
| 5 |
+
- en
|
| 6 |
+
base_model:
|
| 7 |
+
- OpenGVLab/InternVL3_5-4B
|
| 8 |
+
pipeline_tag: image-text-to-text
|
| 9 |
+
---
|
| 10 |
+
[Қазақша](#кіріспе) [English](#introduction)
|
| 11 |
+
|
| 12 |
+
# Qolda
|
| 13 |
+
[](https://github.com/IS2AI/Qolda-deployment)
|
| 14 |
+
[](https://www.apache.org/licenses/LICENSE-2.0)
|
| 15 |
+
|
| 16 |
+
## Introduction
|
| 17 |
+
Built on top of InternVL3.5 and Qwen3, **Qolda** is a small vision-language model designed to operate in Kazakh, Russian, and English. The model has 4.3B parameters and comprises the InternViT-300M vision encoder and MLP Projector components from [InternVL3.5-4B](https://huggingface.co/OpenGVLab/InternVL3_5-4B), along with the [Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) language model. Model training was performed using the [InternVL framework](https://github.com/OpenGVLab/InternVL) 💙
|
| 18 |
+
|
| 19 |
+
The name "Qolda" reflects both its design and purpose in Kazakh: "in hand" (қолда) for its compact accessibility, and "to support" (қолдау) for its assistive nature.
|
| 20 |
+
|
| 21 |
+
## Evaluation Results
|
| 22 |
+
Evaluation was conducted separately for text-only and vision-language modalities. Qolda demonstrates significant performance improvements for Kazakh while maintaining comparable performance on Russian and English.
|
| 23 |
+
|
| 24 |
+
### Text Benchmarks
|
| 25 |
+
|
| 26 |
+
*Performance comparison on language tasks including MMLU, Winogrande, HellaSwag, ARC, GSM8K, and DROP.*
|
| 27 |
+
|
| 28 |
+
**Note:** The comparison below presents Qolda's performance against Qwen3-4B on **Kazakh** language benchmarks only. Evaluation results for additional models and performance on Russian and English will be added later.
|
| 29 |
+
|
| 30 |
+
| Model | Mode | Avg | MMLU | Winogrande | HellaSwag | ARC | GSM8K | DROP |
|
| 31 |
+
|-------|------|-----|------|------------|-----------|-----|-------|------|
|
| 32 |
+
| Qwen3-4B | Direct | 52.00 | 42.43 | 56.88 | 42.04 | 64.77 | 73.62 | 32.27 |
|
| 33 |
+
| Qwen3-4B | Think | 57.73 | 52.98 | 51.27 | 41.86 | 79.65 | 64.82 | 55.81 |
|
| 34 |
+
| Qolda | Direct | 58.77 | 46.55 | 56.37 | 55.75 | 73.62 | 63.50 | 56.84 |
|
| 35 |
+
| Qolda | Think | **71.64** | **64.56** | **70.54** | **57.70** | **89.99** | **79.47** | **67.59** |
|
| 36 |
+
|
| 37 |
+
### Vision Benchmarks
|
| 38 |
+
|
| 39 |
+
*Performance comparison on vision-language tasks including AI2D, MMStar, RealWorldQA, and KazakhOCR.*
|
| 40 |
+
|
| 41 |
+
**Note:** The comparison below presents Qolda's performance against InternVL3.5-4B on **Kazakh** vision-language benchmarks only. Evaluation results for additional models and performance on Russian and English will be added later.
|
| 42 |
+
|
| 43 |
+
| Model | Mode | Avg | AI2D | MMStar | RealWorldQA | KazakhOCR |
|
| 44 |
+
|-------|------|--------|--------|----------|---------------|-------------|
|
| 45 |
+
| InternVL3.5-4B | Direct | 42.23 | 52.33 | 47.47 | 38.32 | 30.81 |
|
| 46 |
+
| InternVL3.5-4B | Think | 42.58 | 51.42 | 49.33 | 38.74 | 30.81 |
|
| 47 |
+
| Qolda | Direct | 59.39 | 66.06 | 55.47 | 54.97 | **61.06** |
|
| 48 |
+
| Qolda | Think | **60.44** | **67.62** | **56.53** | **57.07** | 60.54 |
|
| 49 |
+
|
| 50 |
+
## Model Usage
|
| 51 |
+
To run inference with Transformers, please follow the [guidelines](https://huggingface.co/OpenGVLab/InternVL3_5-4B#inference-with-transformers) from InternVL.
|
| 52 |
+
|
| 53 |
+
Alternatively, to run the model via an OpenAI-compatible server, you can use lmdeploy:
|
| 54 |
+
```bash
|
| 55 |
+
pip install lmdeploy>=0.9.1
|
| 56 |
+
|
| 57 |
+
lmdeploy serve api_server issai/Qolda --server-port 23333 --tp 1 --backend pytorch
|
| 58 |
+
```
|
| 59 |
+
|
| 60 |
+
**Note:** Unlike the original InternVL3.5, this model requires the `enable_thinking` parameter to be explicitly set in the `extra_body` of your API calls. However, depending on the task complexity, an empty thinking response might be generated.
|
| 61 |
+
|
| 62 |
+
Then, make a standard API call:
|
| 63 |
+
|
| 64 |
+
```python
|
| 65 |
+
import base64
|
| 66 |
+
from openai import OpenAI
|
| 67 |
+
|
| 68 |
+
client = OpenAI(api_key='YOUR_API_KEY', base_url='http://0.0.0.0:23333/v1')
|
| 69 |
+
|
| 70 |
+
def encode_image(image_path):
|
| 71 |
+
with open(image_path, "rb") as image_file:
|
| 72 |
+
return base64.b64encode(image_file.read()).decode('utf-8')
|
| 73 |
+
|
| 74 |
+
image_path = "./assets/eval-results-text.png"
|
| 75 |
+
|
| 76 |
+
response = client.chat.completions.create(
|
| 77 |
+
model=client.models.list().data[0].id,
|
| 78 |
+
messages=[{
|
| 79 |
+
'role': 'user',
|
| 80 |
+
'content': [
|
| 81 |
+
{
|
| 82 |
+
'type': 'text',
|
| 83 |
+
'text': 'Берілген диаграмманың сипаттамасын бер.'
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
'type': 'image_url',
|
| 87 |
+
'image_url': {
|
| 88 |
+
'url': f'data:image/png;base64,{encode_image(image_path)}',
|
| 89 |
+
},
|
| 90 |
+
}
|
| 91 |
+
],
|
| 92 |
+
}],
|
| 93 |
+
max_tokens=8192,
|
| 94 |
+
temperature=0.6,
|
| 95 |
+
top_p=0.95,
|
| 96 |
+
extra_body={
|
| 97 |
+
"top_k": 20,
|
| 98 |
+
"enable_thinking": True
|
| 99 |
+
},
|
| 100 |
+
)
|
| 101 |
+
|
| 102 |
+
print(response.choices[0].message.content)
|
| 103 |
+
```
|
| 104 |
+
|
| 105 |
+
## License
|
| 106 |
+
This model is licensed under the Apache License 2.0.
|
| 107 |
+
|
| 108 |
+
|
| 109 |
+
## Кіріспе
|
| 110 |
+
InternVL3.5 және Qwen3 негізінде жаса��ған **Qolda** — қазақ, орыс және ағылшын тілдерінде жұмыс істеуге арналған шағын көру-тілдік моделі (vision-language model). Модель 4,3 млрд параметрге ие және [InternVL3.5-4B](https://huggingface.co/OpenGVLab/InternVL3_5-4B) моделінің InternViT-300M көру энкодері мен MLP проектор компоненттерін, сондай-ақ [Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) тілдік моделін қамтиды. Модельді оқыту [InternVL фреймворкі](https://github.com/OpenGVLab/InternVL) көмегімен жүзеге асырылды 💙
|
| 111 |
+
|
| 112 |
+
"Qolda" атауы модельдің дизайны мен мақсатын қазақ тіліндегі қолда сөзінің қос мағынасы арқылы көрсетеді. Біріншісі, шағын әрі қолжетімді болуы үшін "қолда" cөзі арқылы және екіншісі, көмекші табиғаты үшін, "қолдау" мағынасы арқылы.
|
| 113 |
+
|
| 114 |
+
## Бағалау нәтижелері
|
| 115 |
+
Мәтіндік және көру-тілдік модальділіктер үшін бағалау бөлек жүргізілді. Qolda орыс және ағылшын тілдеріндегі өзінің бастапқы деңгейін сақтай отырып, қазақ тіліндегі өнімділігін айтарлықтай жақсартты.
|
| 116 |
+
|
| 117 |
+
### Мәтіндік бенчмарктар
|
| 118 |
+
|
| 119 |
+
*MMLU, Winogrande, HellaSwag, ARC, GSM8K және DROP сияқты тілдік тапсырмалардағы өнімділікті салыстыру.*
|
| 120 |
+
|
| 121 |
+
**Ескерту:** Төмендегі кестедегі Qolda және Qwen3-4B модельдерінің салыстырылуы тек **қазақ** тіліндегі бенчмарктар нәтижелерін көрсетеді. Басқа модельдердің өнімділігі, сондай-ақ орыс және ағылшын тілдеріндегі көрсеткіштер кейінірек ұсынылады.
|
| 122 |
+
|
| 123 |
+
| Model | Mode | Avg | MMLU | Winogrande | HellaSwag | ARC | GSM8K | DROP |
|
| 124 |
+
|-------|------|-----|------|------------|-----------|-----|-------|------|
|
| 125 |
+
| Qwen3-4B | Direct | 52.00 | 42.43 | 56.88 | 42.04 | 64.77 | 73.62 | 32.27 |
|
| 126 |
+
| Qwen3-4B | Think | 57.73 | 52.98 | 51.27 | 41.86 | 79.65 | 64.82 | 55.81 |
|
| 127 |
+
| Qolda | Direct | 58.77 | 46.55 | 56.37 | 55.75 | 73.62 | 63.50 | 56.84 |
|
| 128 |
+
| Qolda | Think | **71.64** | **64.56** | **70.54** | **57.70** | **89.99** | **79.47** | **67.59** |
|
| 129 |
+
|
| 130 |
+
### Көру бенчмарктары
|
| 131 |
+
|
| 132 |
+
*AI2D, MMStar, RealWorldQA және KazakhOCR сияқты көру-тілдік тапсырмаларындағы өнімділікті салыстыру.*
|
| 133 |
+
|
| 134 |
+
**Ескерту:** Төмендегі кестедегі Qolda және InternVL3.5-4B модельдерінің салыстырылуы тек **қазақ** тіліндегі көру-тілдік бенчмарктар нәтижелерін көрсетеді. Басқа модельдердің өнімділігі, сондай-ақ орыс және ағылшын тілдеріндегі көрсеткіштер кейінірек ұсынылады.
|
| 135 |
+
|
| 136 |
+
| Model | Mode | Avg | AI2D | MMStar | RealWorldQA | KazakhOCR |
|
| 137 |
+
|-------|------|--------|--------|----------|---------------|-------------|
|
| 138 |
+
| InternVL3.5-4B | Direct | 42.23 | 52.33 | 47.47 | 38.32 | 30.81 |
|
| 139 |
+
| InternVL3.5-4B | Think | 42.58 | 51.42 | 49.33 | 38.74 | 30.81 |
|
| 140 |
+
| Qolda | Direct | 59.39 | 66.06 | 55.47 | 54.97 | **61.06** |
|
| 141 |
+
| Qolda | Think | **60.44** | **67.62** | **56.53** | **57.07** | 60.54 |
|
| 142 |
+
|
| 143 |
+
## Модельді қолдану
|
| 144 |
+
Transformers арқылы инференсті іске қосу үшін InternVL ұсынған [нұсқаулықтарды](https://huggingface.co/OpenGVLab/InternVL3_5-4B#inference-with-transformers) орындаңыз.
|
| 145 |
+
|
| 146 |
+
Немесе, модельді OpenAI-үйлесімді сервер арқылы іске қосу үшін lmdeploy құралын пайдалануға болады:
|
| 147 |
+
```bash
|
| 148 |
+
pip install lmdeploy>=0.9.1
|
| 149 |
+
|
| 150 |
+
lmdeploy serve api_server issai/Qolda --server-port 23333 --tp 1 --backend pytorch
|
| 151 |
+
```
|
| 152 |
+
|
| 153 |
+
**Ескерту:** Qolda-ның түпнұсқалық InternVL3.5-тен айырмашылығы, бұл модель API call жасаған кезде `extra_body` бөлігінде `enable_thinking` параметрінің нақты орнатылуын талап етеді. Тапсырманың күрделілігіне байланысты бос thinking жауабы қайтарылуы мүмкін.
|
| 154 |
+
|
| 155 |
+
Содан соң, стандартты API call жасаңыз:
|
| 156 |
+
|
| 157 |
+
```python
|
| 158 |
+
import base64
|
| 159 |
+
from openai import OpenAI
|
| 160 |
+
|
| 161 |
+
client = OpenAI(api_key='YOUR_API_KEY', base_url='http://0.0.0.0:23333/v1')
|
| 162 |
+
|
| 163 |
+
def encode_image(image_path):
|
| 164 |
+
with open(image_path, "rb") as image_file:
|
| 165 |
+
return base64.b64encode(image_file.read()).decode('utf-8')
|
| 166 |
+
|
| 167 |
+
image_path = "./assets/eval-results-text.png"
|
| 168 |
+
|
| 169 |
+
response = client.chat.completions.create(
|
| 170 |
+
model=client.models.list().data[0].id,
|
| 171 |
+
messages=[{
|
| 172 |
+
'role': 'user',
|
| 173 |
+
'content': [
|
| 174 |
+
{
|
| 175 |
+
'type': 'text',
|
| 176 |
+
'text': 'Берілген диаграмманың сипаттамасын бер.'
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
'type': 'image_url',
|
| 180 |
+
'image_url': {
|
| 181 |
+
'url': f'data:image/png;base64,{encode_image(image_path)}',
|
| 182 |
+
},
|
| 183 |
+
}
|
| 184 |
+
],
|
| 185 |
+
}],
|
| 186 |
+
max_tokens=8192,
|
| 187 |
+
temperature=0.6,
|
| 188 |
+
top_p=0.95,
|
| 189 |
+
extra_body={
|
| 190 |
+
"top_k": 20,
|
| 191 |
+
"enable_thinking": True
|
| 192 |
+
},
|
| 193 |
+
)
|
| 194 |
+
|
| 195 |
+
print(response.choices[0].message.content)
|
| 196 |
+
```
|
| 197 |
+
|
| 198 |
+
## Лицензия
|
| 199 |
+
Бұл модель Apache License 2.0 бойынша лицензияланған.
|
Q2_K/config.json
ADDED
|
@@ -0,0 +1,128 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"InternVLChatModel"
|
| 4 |
+
],
|
| 5 |
+
"auto_map": {
|
| 6 |
+
"AutoConfig": "configuration_internvl_chat.InternVLChatConfig",
|
| 7 |
+
"AutoModel": "modeling_internvl_chat.InternVLChatModel",
|
| 8 |
+
"AutoModelForCausalLM": "modeling_internvl_chat.InternVLChatModel"
|
| 9 |
+
},
|
| 10 |
+
"downsample_ratio": 0.5,
|
| 11 |
+
"dynamic_image_size": true,
|
| 12 |
+
"eos_token_id": 151645,
|
| 13 |
+
"force_image_size": 448,
|
| 14 |
+
"hidden_size": 2560,
|
| 15 |
+
"llm_config": {
|
| 16 |
+
"_attn_implementation_autoset": true,
|
| 17 |
+
"architectures": [
|
| 18 |
+
"Qwen3ForCausalLM"
|
| 19 |
+
],
|
| 20 |
+
"attention_bias": false,
|
| 21 |
+
"attention_dropout": 0.0,
|
| 22 |
+
"eos_token_id": 151645,
|
| 23 |
+
"head_dim": 128,
|
| 24 |
+
"hidden_act": "silu",
|
| 25 |
+
"hidden_size": 2560,
|
| 26 |
+
"initializer_range": 0.02,
|
| 27 |
+
"intermediate_size": 9728,
|
| 28 |
+
"layer_types": [
|
| 29 |
+
"full_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"full_attention",
|
| 43 |
+
"full_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"full_attention",
|
| 47 |
+
"full_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"full_attention",
|
| 50 |
+
"full_attention",
|
| 51 |
+
"full_attention",
|
| 52 |
+
"full_attention",
|
| 53 |
+
"full_attention",
|
| 54 |
+
"full_attention",
|
| 55 |
+
"full_attention",
|
| 56 |
+
"full_attention",
|
| 57 |
+
"full_attention",
|
| 58 |
+
"full_attention",
|
| 59 |
+
"full_attention",
|
| 60 |
+
"full_attention",
|
| 61 |
+
"full_attention",
|
| 62 |
+
"full_attention",
|
| 63 |
+
"full_attention",
|
| 64 |
+
"full_attention"
|
| 65 |
+
],
|
| 66 |
+
"max_position_embeddings": 40960,
|
| 67 |
+
"max_window_layers": 36,
|
| 68 |
+
"model_type": "qwen3",
|
| 69 |
+
"num_attention_heads": 32,
|
| 70 |
+
"num_hidden_layers": 36,
|
| 71 |
+
"num_key_value_heads": 8,
|
| 72 |
+
"rms_norm_eps": 1e-06,
|
| 73 |
+
"rope_scaling": null,
|
| 74 |
+
"rope_theta": 1000000,
|
| 75 |
+
"sliding_window": null,
|
| 76 |
+
"tie_word_embeddings": true,
|
| 77 |
+
"torch_dtype": "bfloat16",
|
| 78 |
+
"use_cache": false,
|
| 79 |
+
"use_sliding_window": false,
|
| 80 |
+
"vocab_size": 151936
|
| 81 |
+
},
|
| 82 |
+
"max_dynamic_patch": 12,
|
| 83 |
+
"min_dynamic_patch": 1,
|
| 84 |
+
"model_type": "internvl_chat",
|
| 85 |
+
"output_attentions": false,
|
| 86 |
+
"pad2square": false,
|
| 87 |
+
"pad_token_id": 151643,
|
| 88 |
+
"ps_version": "v2",
|
| 89 |
+
"select_layer": -1,
|
| 90 |
+
"template": "internvl2_5",
|
| 91 |
+
"tie_word_embeddings": true,
|
| 92 |
+
"torch_dtype": "bfloat16",
|
| 93 |
+
"transformers_version": null,
|
| 94 |
+
"use_backbone_lora": 0,
|
| 95 |
+
"use_llm_lora": 0,
|
| 96 |
+
"use_thumbnail": true,
|
| 97 |
+
"vision_config": {
|
| 98 |
+
"_attn_implementation_autoset": true,
|
| 99 |
+
"architectures": [
|
| 100 |
+
"InternVisionModel"
|
| 101 |
+
],
|
| 102 |
+
"attention_dropout": 0.0,
|
| 103 |
+
"auto_map": {
|
| 104 |
+
"AutoConfig": "configuration_intern_vit.InternVisionConfig",
|
| 105 |
+
"AutoModel": "modeling_intern_vit.InternVisionModel"
|
| 106 |
+
},
|
| 107 |
+
"drop_path_rate": 0.0,
|
| 108 |
+
"dropout": 0.0,
|
| 109 |
+
"hidden_act": "gelu",
|
| 110 |
+
"hidden_size": 1024,
|
| 111 |
+
"image_size": 448,
|
| 112 |
+
"initializer_factor": 1.0,
|
| 113 |
+
"initializer_range": 0.02,
|
| 114 |
+
"intermediate_size": 4096,
|
| 115 |
+
"layer_norm_eps": 1e-06,
|
| 116 |
+
"model_type": "intern_vit_6b",
|
| 117 |
+
"norm_type": "layer_norm",
|
| 118 |
+
"num_attention_heads": 16,
|
| 119 |
+
"num_channels": 3,
|
| 120 |
+
"num_hidden_layers": 24,
|
| 121 |
+
"patch_size": 14,
|
| 122 |
+
"qk_normalization": false,
|
| 123 |
+
"qkv_bias": true,
|
| 124 |
+
"torch_dtype": "bfloat16",
|
| 125 |
+
"use_fa3": false,
|
| 126 |
+
"use_flash_attn": true
|
| 127 |
+
}
|
| 128 |
+
}
|
Q2_K/generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 151643,
|
| 4 |
+
"eos_token_id": 151645,
|
| 5 |
+
"pad_token_id": 151643,
|
| 6 |
+
"transformers_version": "4.51.0"
|
| 7 |
+
}
|
Q2_K/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Q2_K/special_tokens_map.json
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<img>",
|
| 4 |
+
"</img>",
|
| 5 |
+
"<IMG_CONTEXT>",
|
| 6 |
+
"<quad>",
|
| 7 |
+
"</quad>",
|
| 8 |
+
"<ref>",
|
| 9 |
+
"</ref>",
|
| 10 |
+
"<box>",
|
| 11 |
+
"</box>"
|
| 12 |
+
],
|
| 13 |
+
"eos_token": {
|
| 14 |
+
"content": "<|im_end|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false
|
| 19 |
+
},
|
| 20 |
+
"pad_token": {
|
| 21 |
+
"content": "<|endoftext|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false
|
| 26 |
+
}
|
| 27 |
+
}
|
Q2_K/tokenizer_config.json
ADDED
|
@@ -0,0 +1,308 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": false,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"151643": {
|
| 7 |
+
"content": "<|endoftext|>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"151644": {
|
| 15 |
+
"content": "<|im_start|>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"151645": {
|
| 23 |
+
"content": "<|im_end|>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
},
|
| 30 |
+
"151646": {
|
| 31 |
+
"content": "<|object_ref_start|>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": true
|
| 37 |
+
},
|
| 38 |
+
"151647": {
|
| 39 |
+
"content": "<|object_ref_end|>",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": false,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"single_word": false,
|
| 44 |
+
"special": true
|
| 45 |
+
},
|
| 46 |
+
"151648": {
|
| 47 |
+
"content": "<|box_start|>",
|
| 48 |
+
"lstrip": false,
|
| 49 |
+
"normalized": false,
|
| 50 |
+
"rstrip": false,
|
| 51 |
+
"single_word": false,
|
| 52 |
+
"special": true
|
| 53 |
+
},
|
| 54 |
+
"151649": {
|
| 55 |
+
"content": "<|box_end|>",
|
| 56 |
+
"lstrip": false,
|
| 57 |
+
"normalized": false,
|
| 58 |
+
"rstrip": false,
|
| 59 |
+
"single_word": false,
|
| 60 |
+
"special": true
|
| 61 |
+
},
|
| 62 |
+
"151650": {
|
| 63 |
+
"content": "<|quad_start|>",
|
| 64 |
+
"lstrip": false,
|
| 65 |
+
"normalized": false,
|
| 66 |
+
"rstrip": false,
|
| 67 |
+
"single_word": false,
|
| 68 |
+
"special": true
|
| 69 |
+
},
|
| 70 |
+
"151651": {
|
| 71 |
+
"content": "<|quad_end|>",
|
| 72 |
+
"lstrip": false,
|
| 73 |
+
"normalized": false,
|
| 74 |
+
"rstrip": false,
|
| 75 |
+
"single_word": false,
|
| 76 |
+
"special": true
|
| 77 |
+
},
|
| 78 |
+
"151652": {
|
| 79 |
+
"content": "<|vision_start|>",
|
| 80 |
+
"lstrip": false,
|
| 81 |
+
"normalized": false,
|
| 82 |
+
"rstrip": false,
|
| 83 |
+
"single_word": false,
|
| 84 |
+
"special": true
|
| 85 |
+
},
|
| 86 |
+
"151653": {
|
| 87 |
+
"content": "<|vision_end|>",
|
| 88 |
+
"lstrip": false,
|
| 89 |
+
"normalized": false,
|
| 90 |
+
"rstrip": false,
|
| 91 |
+
"single_word": false,
|
| 92 |
+
"special": true
|
| 93 |
+
},
|
| 94 |
+
"151654": {
|
| 95 |
+
"content": "<|vision_pad|>",
|
| 96 |
+
"lstrip": false,
|
| 97 |
+
"normalized": false,
|
| 98 |
+
"rstrip": false,
|
| 99 |
+
"single_word": false,
|
| 100 |
+
"special": true
|
| 101 |
+
},
|
| 102 |
+
"151655": {
|
| 103 |
+
"content": "<|image_pad|>",
|
| 104 |
+
"lstrip": false,
|
| 105 |
+
"normalized": false,
|
| 106 |
+
"rstrip": false,
|
| 107 |
+
"single_word": false,
|
| 108 |
+
"special": true
|
| 109 |
+
},
|
| 110 |
+
"151656": {
|
| 111 |
+
"content": "<|video_pad|>",
|
| 112 |
+
"lstrip": false,
|
| 113 |
+
"normalized": false,
|
| 114 |
+
"rstrip": false,
|
| 115 |
+
"single_word": false,
|
| 116 |
+
"special": true
|
| 117 |
+
},
|
| 118 |
+
"151657": {
|
| 119 |
+
"content": "<tool_call>",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": false,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false,
|
| 124 |
+
"special": false
|
| 125 |
+
},
|
| 126 |
+
"151658": {
|
| 127 |
+
"content": "</tool_call>",
|
| 128 |
+
"lstrip": false,
|
| 129 |
+
"normalized": false,
|
| 130 |
+
"rstrip": false,
|
| 131 |
+
"single_word": false,
|
| 132 |
+
"special": false
|
| 133 |
+
},
|
| 134 |
+
"151659": {
|
| 135 |
+
"content": "<|fim_prefix|>",
|
| 136 |
+
"lstrip": false,
|
| 137 |
+
"normalized": false,
|
| 138 |
+
"rstrip": false,
|
| 139 |
+
"single_word": false,
|
| 140 |
+
"special": false
|
| 141 |
+
},
|
| 142 |
+
"151660": {
|
| 143 |
+
"content": "<|fim_middle|>",
|
| 144 |
+
"lstrip": false,
|
| 145 |
+
"normalized": false,
|
| 146 |
+
"rstrip": false,
|
| 147 |
+
"single_word": false,
|
| 148 |
+
"special": false
|
| 149 |
+
},
|
| 150 |
+
"151661": {
|
| 151 |
+
"content": "<|fim_suffix|>",
|
| 152 |
+
"lstrip": false,
|
| 153 |
+
"normalized": false,
|
| 154 |
+
"rstrip": false,
|
| 155 |
+
"single_word": false,
|
| 156 |
+
"special": false
|
| 157 |
+
},
|
| 158 |
+
"151662": {
|
| 159 |
+
"content": "<|fim_pad|>",
|
| 160 |
+
"lstrip": false,
|
| 161 |
+
"normalized": false,
|
| 162 |
+
"rstrip": false,
|
| 163 |
+
"single_word": false,
|
| 164 |
+
"special": false
|
| 165 |
+
},
|
| 166 |
+
"151663": {
|
| 167 |
+
"content": "<|repo_name|>",
|
| 168 |
+
"lstrip": false,
|
| 169 |
+
"normalized": false,
|
| 170 |
+
"rstrip": false,
|
| 171 |
+
"single_word": false,
|
| 172 |
+
"special": false
|
| 173 |
+
},
|
| 174 |
+
"151664": {
|
| 175 |
+
"content": "<|file_sep|>",
|
| 176 |
+
"lstrip": false,
|
| 177 |
+
"normalized": false,
|
| 178 |
+
"rstrip": false,
|
| 179 |
+
"single_word": false,
|
| 180 |
+
"special": false
|
| 181 |
+
},
|
| 182 |
+
"151665": {
|
| 183 |
+
"content": "<tool_response>",
|
| 184 |
+
"lstrip": false,
|
| 185 |
+
"normalized": false,
|
| 186 |
+
"rstrip": false,
|
| 187 |
+
"single_word": false,
|
| 188 |
+
"special": false
|
| 189 |
+
},
|
| 190 |
+
"151666": {
|
| 191 |
+
"content": "</tool_response>",
|
| 192 |
+
"lstrip": false,
|
| 193 |
+
"normalized": false,
|
| 194 |
+
"rstrip": false,
|
| 195 |
+
"single_word": false,
|
| 196 |
+
"special": false
|
| 197 |
+
},
|
| 198 |
+
"151667": {
|
| 199 |
+
"content": "<think>",
|
| 200 |
+
"lstrip": false,
|
| 201 |
+
"normalized": false,
|
| 202 |
+
"rstrip": false,
|
| 203 |
+
"single_word": false,
|
| 204 |
+
"special": false
|
| 205 |
+
},
|
| 206 |
+
"151668": {
|
| 207 |
+
"content": "</think>",
|
| 208 |
+
"lstrip": false,
|
| 209 |
+
"normalized": false,
|
| 210 |
+
"rstrip": false,
|
| 211 |
+
"single_word": false,
|
| 212 |
+
"special": false
|
| 213 |
+
},
|
| 214 |
+
"151669": {
|
| 215 |
+
"content": "<img>",
|
| 216 |
+
"lstrip": false,
|
| 217 |
+
"normalized": false,
|
| 218 |
+
"rstrip": false,
|
| 219 |
+
"single_word": false,
|
| 220 |
+
"special": true
|
| 221 |
+
},
|
| 222 |
+
"151670": {
|
| 223 |
+
"content": "</img>",
|
| 224 |
+
"lstrip": false,
|
| 225 |
+
"normalized": false,
|
| 226 |
+
"rstrip": false,
|
| 227 |
+
"single_word": false,
|
| 228 |
+
"special": true
|
| 229 |
+
},
|
| 230 |
+
"151671": {
|
| 231 |
+
"content": "<IMG_CONTEXT>",
|
| 232 |
+
"lstrip": false,
|
| 233 |
+
"normalized": false,
|
| 234 |
+
"rstrip": false,
|
| 235 |
+
"single_word": false,
|
| 236 |
+
"special": true
|
| 237 |
+
},
|
| 238 |
+
"151672": {
|
| 239 |
+
"content": "<quad>",
|
| 240 |
+
"lstrip": false,
|
| 241 |
+
"normalized": false,
|
| 242 |
+
"rstrip": false,
|
| 243 |
+
"single_word": false,
|
| 244 |
+
"special": true
|
| 245 |
+
},
|
| 246 |
+
"151673": {
|
| 247 |
+
"content": "</quad>",
|
| 248 |
+
"lstrip": false,
|
| 249 |
+
"normalized": false,
|
| 250 |
+
"rstrip": false,
|
| 251 |
+
"single_word": false,
|
| 252 |
+
"special": true
|
| 253 |
+
},
|
| 254 |
+
"151674": {
|
| 255 |
+
"content": "<ref>",
|
| 256 |
+
"lstrip": false,
|
| 257 |
+
"normalized": false,
|
| 258 |
+
"rstrip": false,
|
| 259 |
+
"single_word": false,
|
| 260 |
+
"special": true
|
| 261 |
+
},
|
| 262 |
+
"151675": {
|
| 263 |
+
"content": "</ref>",
|
| 264 |
+
"lstrip": false,
|
| 265 |
+
"normalized": false,
|
| 266 |
+
"rstrip": false,
|
| 267 |
+
"single_word": false,
|
| 268 |
+
"special": true
|
| 269 |
+
},
|
| 270 |
+
"151676": {
|
| 271 |
+
"content": "<box>",
|
| 272 |
+
"lstrip": false,
|
| 273 |
+
"normalized": false,
|
| 274 |
+
"rstrip": false,
|
| 275 |
+
"single_word": false,
|
| 276 |
+
"special": true
|
| 277 |
+
},
|
| 278 |
+
"151677": {
|
| 279 |
+
"content": "</box>",
|
| 280 |
+
"lstrip": false,
|
| 281 |
+
"normalized": false,
|
| 282 |
+
"rstrip": false,
|
| 283 |
+
"single_word": false,
|
| 284 |
+
"special": true
|
| 285 |
+
}
|
| 286 |
+
},
|
| 287 |
+
"additional_special_tokens": [
|
| 288 |
+
"<img>",
|
| 289 |
+
"</img>",
|
| 290 |
+
"<IMG_CONTEXT>",
|
| 291 |
+
"<quad>",
|
| 292 |
+
"</quad>",
|
| 293 |
+
"<ref>",
|
| 294 |
+
"</ref>",
|
| 295 |
+
"<box>",
|
| 296 |
+
"</box>"
|
| 297 |
+
],
|
| 298 |
+
"bos_token": null,
|
| 299 |
+
"clean_up_tokenization_spaces": false,
|
| 300 |
+
"eos_token": "<|im_end|>",
|
| 301 |
+
"errors": "replace",
|
| 302 |
+
"extra_special_tokens": {},
|
| 303 |
+
"model_max_length": 8192,
|
| 304 |
+
"pad_token": "<|endoftext|>",
|
| 305 |
+
"split_special_tokens": false,
|
| 306 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 307 |
+
"unk_token": null
|
| 308 |
+
}
|
Q2_K/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Q3_K_M/Qolda-Q3_K_M.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a1e32493e1e7ac979387341ab657f411628a97002ffeb56b022f7abe6f01da7f
|
| 3 |
+
size 2075617856
|
Q3_K_M/README.md
ADDED
|
@@ -0,0 +1,199 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- kk
|
| 4 |
+
- ru
|
| 5 |
+
- en
|
| 6 |
+
base_model:
|
| 7 |
+
- OpenGVLab/InternVL3_5-4B
|
| 8 |
+
pipeline_tag: image-text-to-text
|
| 9 |
+
---
|
| 10 |
+
[Қазақша](#кіріспе) [English](#introduction)
|
| 11 |
+
|
| 12 |
+
# Qolda
|
| 13 |
+
[](https://github.com/IS2AI/Qolda-deployment)
|
| 14 |
+
[](https://www.apache.org/licenses/LICENSE-2.0)
|
| 15 |
+
|
| 16 |
+
## Introduction
|
| 17 |
+
Built on top of InternVL3.5 and Qwen3, **Qolda** is a small vision-language model designed to operate in Kazakh, Russian, and English. The model has 4.3B parameters and comprises the InternViT-300M vision encoder and MLP Projector components from [InternVL3.5-4B](https://huggingface.co/OpenGVLab/InternVL3_5-4B), along with the [Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) language model. Model training was performed using the [InternVL framework](https://github.com/OpenGVLab/InternVL) 💙
|
| 18 |
+
|
| 19 |
+
The name "Qolda" reflects both its design and purpose in Kazakh: "in hand" (қолда) for its compact accessibility, and "to support" (қолдау) for its assistive nature.
|
| 20 |
+
|
| 21 |
+
## Evaluation Results
|
| 22 |
+
Evaluation was conducted separately for text-only and vision-language modalities. Qolda demonstrates significant performance improvements for Kazakh while maintaining comparable performance on Russian and English.
|
| 23 |
+
|
| 24 |
+
### Text Benchmarks
|
| 25 |
+
|
| 26 |
+
*Performance comparison on language tasks including MMLU, Winogrande, HellaSwag, ARC, GSM8K, and DROP.*
|
| 27 |
+
|
| 28 |
+
**Note:** The comparison below presents Qolda's performance against Qwen3-4B on **Kazakh** language benchmarks only. Evaluation results for additional models and performance on Russian and English will be added later.
|
| 29 |
+
|
| 30 |
+
| Model | Mode | Avg | MMLU | Winogrande | HellaSwag | ARC | GSM8K | DROP |
|
| 31 |
+
|-------|------|-----|------|------------|-----------|-----|-------|------|
|
| 32 |
+
| Qwen3-4B | Direct | 52.00 | 42.43 | 56.88 | 42.04 | 64.77 | 73.62 | 32.27 |
|
| 33 |
+
| Qwen3-4B | Think | 57.73 | 52.98 | 51.27 | 41.86 | 79.65 | 64.82 | 55.81 |
|
| 34 |
+
| Qolda | Direct | 58.77 | 46.55 | 56.37 | 55.75 | 73.62 | 63.50 | 56.84 |
|
| 35 |
+
| Qolda | Think | **71.64** | **64.56** | **70.54** | **57.70** | **89.99** | **79.47** | **67.59** |
|
| 36 |
+
|
| 37 |
+
### Vision Benchmarks
|
| 38 |
+
|
| 39 |
+
*Performance comparison on vision-language tasks including AI2D, MMStar, RealWorldQA, and KazakhOCR.*
|
| 40 |
+
|
| 41 |
+
**Note:** The comparison below presents Qolda's performance against InternVL3.5-4B on **Kazakh** vision-language benchmarks only. Evaluation results for additional models and performance on Russian and English will be added later.
|
| 42 |
+
|
| 43 |
+
| Model | Mode | Avg | AI2D | MMStar | RealWorldQA | KazakhOCR |
|
| 44 |
+
|-------|------|--------|--------|----------|---------------|-------------|
|
| 45 |
+
| InternVL3.5-4B | Direct | 42.23 | 52.33 | 47.47 | 38.32 | 30.81 |
|
| 46 |
+
| InternVL3.5-4B | Think | 42.58 | 51.42 | 49.33 | 38.74 | 30.81 |
|
| 47 |
+
| Qolda | Direct | 59.39 | 66.06 | 55.47 | 54.97 | **61.06** |
|
| 48 |
+
| Qolda | Think | **60.44** | **67.62** | **56.53** | **57.07** | 60.54 |
|
| 49 |
+
|
| 50 |
+
## Model Usage
|
| 51 |
+
To run inference with Transformers, please follow the [guidelines](https://huggingface.co/OpenGVLab/InternVL3_5-4B#inference-with-transformers) from InternVL.
|
| 52 |
+
|
| 53 |
+
Alternatively, to run the model via an OpenAI-compatible server, you can use lmdeploy:
|
| 54 |
+
```bash
|
| 55 |
+
pip install lmdeploy>=0.9.1
|
| 56 |
+
|
| 57 |
+
lmdeploy serve api_server issai/Qolda --server-port 23333 --tp 1 --backend pytorch
|
| 58 |
+
```
|
| 59 |
+
|
| 60 |
+
**Note:** Unlike the original InternVL3.5, this model requires the `enable_thinking` parameter to be explicitly set in the `extra_body` of your API calls. However, depending on the task complexity, an empty thinking response might be generated.
|
| 61 |
+
|
| 62 |
+
Then, make a standard API call:
|
| 63 |
+
|
| 64 |
+
```python
|
| 65 |
+
import base64
|
| 66 |
+
from openai import OpenAI
|
| 67 |
+
|
| 68 |
+
client = OpenAI(api_key='YOUR_API_KEY', base_url='http://0.0.0.0:23333/v1')
|
| 69 |
+
|
| 70 |
+
def encode_image(image_path):
|
| 71 |
+
with open(image_path, "rb") as image_file:
|
| 72 |
+
return base64.b64encode(image_file.read()).decode('utf-8')
|
| 73 |
+
|
| 74 |
+
image_path = "./assets/eval-results-text.png"
|
| 75 |
+
|
| 76 |
+
response = client.chat.completions.create(
|
| 77 |
+
model=client.models.list().data[0].id,
|
| 78 |
+
messages=[{
|
| 79 |
+
'role': 'user',
|
| 80 |
+
'content': [
|
| 81 |
+
{
|
| 82 |
+
'type': 'text',
|
| 83 |
+
'text': 'Берілген диаграмманың сипаттамасын бер.'
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
'type': 'image_url',
|
| 87 |
+
'image_url': {
|
| 88 |
+
'url': f'data:image/png;base64,{encode_image(image_path)}',
|
| 89 |
+
},
|
| 90 |
+
}
|
| 91 |
+
],
|
| 92 |
+
}],
|
| 93 |
+
max_tokens=8192,
|
| 94 |
+
temperature=0.6,
|
| 95 |
+
top_p=0.95,
|
| 96 |
+
extra_body={
|
| 97 |
+
"top_k": 20,
|
| 98 |
+
"enable_thinking": True
|
| 99 |
+
},
|
| 100 |
+
)
|
| 101 |
+
|
| 102 |
+
print(response.choices[0].message.content)
|
| 103 |
+
```
|
| 104 |
+
|
| 105 |
+
## License
|
| 106 |
+
This model is licensed under the Apache License 2.0.
|
| 107 |
+
|
| 108 |
+
|
| 109 |
+
## Кіріспе
|
| 110 |
+
InternVL3.5 және Qwen3 негізінде жаса��ған **Qolda** — қазақ, орыс және ағылшын тілдерінде жұмыс істеуге арналған шағын көру-тілдік моделі (vision-language model). Модель 4,3 млрд параметрге ие және [InternVL3.5-4B](https://huggingface.co/OpenGVLab/InternVL3_5-4B) моделінің InternViT-300M көру энкодері мен MLP проектор компоненттерін, сондай-ақ [Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) тілдік моделін қамтиды. Модельді оқыту [InternVL фреймворкі](https://github.com/OpenGVLab/InternVL) көмегімен жүзеге асырылды 💙
|
| 111 |
+
|
| 112 |
+
"Qolda" атауы модельдің дизайны мен мақсатын қазақ тіліндегі қолда сөзінің қос мағынасы арқылы көрсетеді. Біріншісі, шағын әрі қолжетімді болуы үшін "қолда" cөзі арқылы және екіншісі, көмекші табиғаты үшін, "қолдау" мағынасы арқылы.
|
| 113 |
+
|
| 114 |
+
## Бағалау нәтижелері
|
| 115 |
+
Мәтіндік және көру-тілдік модальділіктер үшін бағалау бөлек жүргізілді. Qolda орыс және ағылшын тілдеріндегі өзінің бастапқы деңгейін сақтай отырып, қазақ тіліндегі өнімділігін айтарлықтай жақсартты.
|
| 116 |
+
|
| 117 |
+
### Мәтіндік бенчмарктар
|
| 118 |
+
|
| 119 |
+
*MMLU, Winogrande, HellaSwag, ARC, GSM8K және DROP сияқты тілдік тапсырмалардағы өнімділікті салыстыру.*
|
| 120 |
+
|
| 121 |
+
**Ескерту:** Төмендегі кестедегі Qolda және Qwen3-4B модельдерінің салыстырылуы тек **қазақ** тіліндегі бенчмарктар нәтижелерін көрсетеді. Басқа модельдердің өнімділігі, сондай-ақ орыс және ағылшын тілдеріндегі көрсеткіштер кейінірек ұсынылады.
|
| 122 |
+
|
| 123 |
+
| Model | Mode | Avg | MMLU | Winogrande | HellaSwag | ARC | GSM8K | DROP |
|
| 124 |
+
|-------|------|-----|------|------------|-----------|-----|-------|------|
|
| 125 |
+
| Qwen3-4B | Direct | 52.00 | 42.43 | 56.88 | 42.04 | 64.77 | 73.62 | 32.27 |
|
| 126 |
+
| Qwen3-4B | Think | 57.73 | 52.98 | 51.27 | 41.86 | 79.65 | 64.82 | 55.81 |
|
| 127 |
+
| Qolda | Direct | 58.77 | 46.55 | 56.37 | 55.75 | 73.62 | 63.50 | 56.84 |
|
| 128 |
+
| Qolda | Think | **71.64** | **64.56** | **70.54** | **57.70** | **89.99** | **79.47** | **67.59** |
|
| 129 |
+
|
| 130 |
+
### Көру бенчмарктары
|
| 131 |
+
|
| 132 |
+
*AI2D, MMStar, RealWorldQA және KazakhOCR сияқты көру-тілдік тапсырмаларындағы өнімділікті салыстыру.*
|
| 133 |
+
|
| 134 |
+
**Ескерту:** Төмендегі кестедегі Qolda және InternVL3.5-4B модельдерінің салыстырылуы тек **қазақ** тіліндегі көру-тілдік бенчмарктар нәтижелерін көрсетеді. Басқа модельдердің өнімділігі, сондай-ақ орыс және ағылшын тілдеріндегі көрсеткіштер кейінірек ұсынылады.
|
| 135 |
+
|
| 136 |
+
| Model | Mode | Avg | AI2D | MMStar | RealWorldQA | KazakhOCR |
|
| 137 |
+
|-------|------|--------|--------|----------|---------------|-------------|
|
| 138 |
+
| InternVL3.5-4B | Direct | 42.23 | 52.33 | 47.47 | 38.32 | 30.81 |
|
| 139 |
+
| InternVL3.5-4B | Think | 42.58 | 51.42 | 49.33 | 38.74 | 30.81 |
|
| 140 |
+
| Qolda | Direct | 59.39 | 66.06 | 55.47 | 54.97 | **61.06** |
|
| 141 |
+
| Qolda | Think | **60.44** | **67.62** | **56.53** | **57.07** | 60.54 |
|
| 142 |
+
|
| 143 |
+
## Модельді қолдану
|
| 144 |
+
Transformers арқылы инференсті іске қосу үшін InternVL ұсынған [нұсқаулықтарды](https://huggingface.co/OpenGVLab/InternVL3_5-4B#inference-with-transformers) орындаңыз.
|
| 145 |
+
|
| 146 |
+
Немесе, модельді OpenAI-үйлесімді сервер арқылы іске қосу үшін lmdeploy құралын пайдалануға болады:
|
| 147 |
+
```bash
|
| 148 |
+
pip install lmdeploy>=0.9.1
|
| 149 |
+
|
| 150 |
+
lmdeploy serve api_server issai/Qolda --server-port 23333 --tp 1 --backend pytorch
|
| 151 |
+
```
|
| 152 |
+
|
| 153 |
+
**Ескерту:** Qolda-ның түпнұсқалық InternVL3.5-тен айырмашылығы, бұл модель API call жасаған кезде `extra_body` бөлігінде `enable_thinking` параметрінің нақты орнатылуын талап етеді. Тапсырманың күрделілігіне байланысты бос thinking жауабы қайтарылуы мүмкін.
|
| 154 |
+
|
| 155 |
+
Содан соң, стандартты API call жасаңыз:
|
| 156 |
+
|
| 157 |
+
```python
|
| 158 |
+
import base64
|
| 159 |
+
from openai import OpenAI
|
| 160 |
+
|
| 161 |
+
client = OpenAI(api_key='YOUR_API_KEY', base_url='http://0.0.0.0:23333/v1')
|
| 162 |
+
|
| 163 |
+
def encode_image(image_path):
|
| 164 |
+
with open(image_path, "rb") as image_file:
|
| 165 |
+
return base64.b64encode(image_file.read()).decode('utf-8')
|
| 166 |
+
|
| 167 |
+
image_path = "./assets/eval-results-text.png"
|
| 168 |
+
|
| 169 |
+
response = client.chat.completions.create(
|
| 170 |
+
model=client.models.list().data[0].id,
|
| 171 |
+
messages=[{
|
| 172 |
+
'role': 'user',
|
| 173 |
+
'content': [
|
| 174 |
+
{
|
| 175 |
+
'type': 'text',
|
| 176 |
+
'text': 'Берілген диаграмманың сипаттамасын бер.'
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
'type': 'image_url',
|
| 180 |
+
'image_url': {
|
| 181 |
+
'url': f'data:image/png;base64,{encode_image(image_path)}',
|
| 182 |
+
},
|
| 183 |
+
}
|
| 184 |
+
],
|
| 185 |
+
}],
|
| 186 |
+
max_tokens=8192,
|
| 187 |
+
temperature=0.6,
|
| 188 |
+
top_p=0.95,
|
| 189 |
+
extra_body={
|
| 190 |
+
"top_k": 20,
|
| 191 |
+
"enable_thinking": True
|
| 192 |
+
},
|
| 193 |
+
)
|
| 194 |
+
|
| 195 |
+
print(response.choices[0].message.content)
|
| 196 |
+
```
|
| 197 |
+
|
| 198 |
+
## Лицензия
|
| 199 |
+
Бұл модель Apache License 2.0 бойынша лицензияланған.
|
Q3_K_M/config.json
ADDED
|
@@ -0,0 +1,128 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"InternVLChatModel"
|
| 4 |
+
],
|
| 5 |
+
"auto_map": {
|
| 6 |
+
"AutoConfig": "configuration_internvl_chat.InternVLChatConfig",
|
| 7 |
+
"AutoModel": "modeling_internvl_chat.InternVLChatModel",
|
| 8 |
+
"AutoModelForCausalLM": "modeling_internvl_chat.InternVLChatModel"
|
| 9 |
+
},
|
| 10 |
+
"downsample_ratio": 0.5,
|
| 11 |
+
"dynamic_image_size": true,
|
| 12 |
+
"eos_token_id": 151645,
|
| 13 |
+
"force_image_size": 448,
|
| 14 |
+
"hidden_size": 2560,
|
| 15 |
+
"llm_config": {
|
| 16 |
+
"_attn_implementation_autoset": true,
|
| 17 |
+
"architectures": [
|
| 18 |
+
"Qwen3ForCausalLM"
|
| 19 |
+
],
|
| 20 |
+
"attention_bias": false,
|
| 21 |
+
"attention_dropout": 0.0,
|
| 22 |
+
"eos_token_id": 151645,
|
| 23 |
+
"head_dim": 128,
|
| 24 |
+
"hidden_act": "silu",
|
| 25 |
+
"hidden_size": 2560,
|
| 26 |
+
"initializer_range": 0.02,
|
| 27 |
+
"intermediate_size": 9728,
|
| 28 |
+
"layer_types": [
|
| 29 |
+
"full_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"full_attention",
|
| 43 |
+
"full_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"full_attention",
|
| 47 |
+
"full_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"full_attention",
|
| 50 |
+
"full_attention",
|
| 51 |
+
"full_attention",
|
| 52 |
+
"full_attention",
|
| 53 |
+
"full_attention",
|
| 54 |
+
"full_attention",
|
| 55 |
+
"full_attention",
|
| 56 |
+
"full_attention",
|
| 57 |
+
"full_attention",
|
| 58 |
+
"full_attention",
|
| 59 |
+
"full_attention",
|
| 60 |
+
"full_attention",
|
| 61 |
+
"full_attention",
|
| 62 |
+
"full_attention",
|
| 63 |
+
"full_attention",
|
| 64 |
+
"full_attention"
|
| 65 |
+
],
|
| 66 |
+
"max_position_embeddings": 40960,
|
| 67 |
+
"max_window_layers": 36,
|
| 68 |
+
"model_type": "qwen3",
|
| 69 |
+
"num_attention_heads": 32,
|
| 70 |
+
"num_hidden_layers": 36,
|
| 71 |
+
"num_key_value_heads": 8,
|
| 72 |
+
"rms_norm_eps": 1e-06,
|
| 73 |
+
"rope_scaling": null,
|
| 74 |
+
"rope_theta": 1000000,
|
| 75 |
+
"sliding_window": null,
|
| 76 |
+
"tie_word_embeddings": true,
|
| 77 |
+
"torch_dtype": "bfloat16",
|
| 78 |
+
"use_cache": false,
|
| 79 |
+
"use_sliding_window": false,
|
| 80 |
+
"vocab_size": 151936
|
| 81 |
+
},
|
| 82 |
+
"max_dynamic_patch": 12,
|
| 83 |
+
"min_dynamic_patch": 1,
|
| 84 |
+
"model_type": "internvl_chat",
|
| 85 |
+
"output_attentions": false,
|
| 86 |
+
"pad2square": false,
|
| 87 |
+
"pad_token_id": 151643,
|
| 88 |
+
"ps_version": "v2",
|
| 89 |
+
"select_layer": -1,
|
| 90 |
+
"template": "internvl2_5",
|
| 91 |
+
"tie_word_embeddings": true,
|
| 92 |
+
"torch_dtype": "bfloat16",
|
| 93 |
+
"transformers_version": null,
|
| 94 |
+
"use_backbone_lora": 0,
|
| 95 |
+
"use_llm_lora": 0,
|
| 96 |
+
"use_thumbnail": true,
|
| 97 |
+
"vision_config": {
|
| 98 |
+
"_attn_implementation_autoset": true,
|
| 99 |
+
"architectures": [
|
| 100 |
+
"InternVisionModel"
|
| 101 |
+
],
|
| 102 |
+
"attention_dropout": 0.0,
|
| 103 |
+
"auto_map": {
|
| 104 |
+
"AutoConfig": "configuration_intern_vit.InternVisionConfig",
|
| 105 |
+
"AutoModel": "modeling_intern_vit.InternVisionModel"
|
| 106 |
+
},
|
| 107 |
+
"drop_path_rate": 0.0,
|
| 108 |
+
"dropout": 0.0,
|
| 109 |
+
"hidden_act": "gelu",
|
| 110 |
+
"hidden_size": 1024,
|
| 111 |
+
"image_size": 448,
|
| 112 |
+
"initializer_factor": 1.0,
|
| 113 |
+
"initializer_range": 0.02,
|
| 114 |
+
"intermediate_size": 4096,
|
| 115 |
+
"layer_norm_eps": 1e-06,
|
| 116 |
+
"model_type": "intern_vit_6b",
|
| 117 |
+
"norm_type": "layer_norm",
|
| 118 |
+
"num_attention_heads": 16,
|
| 119 |
+
"num_channels": 3,
|
| 120 |
+
"num_hidden_layers": 24,
|
| 121 |
+
"patch_size": 14,
|
| 122 |
+
"qk_normalization": false,
|
| 123 |
+
"qkv_bias": true,
|
| 124 |
+
"torch_dtype": "bfloat16",
|
| 125 |
+
"use_fa3": false,
|
| 126 |
+
"use_flash_attn": true
|
| 127 |
+
}
|
| 128 |
+
}
|
Q3_K_M/generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 151643,
|
| 4 |
+
"eos_token_id": 151645,
|
| 5 |
+
"pad_token_id": 151643,
|
| 6 |
+
"transformers_version": "4.51.0"
|
| 7 |
+
}
|
Q3_K_M/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Q3_K_M/special_tokens_map.json
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<img>",
|
| 4 |
+
"</img>",
|
| 5 |
+
"<IMG_CONTEXT>",
|
| 6 |
+
"<quad>",
|
| 7 |
+
"</quad>",
|
| 8 |
+
"<ref>",
|
| 9 |
+
"</ref>",
|
| 10 |
+
"<box>",
|
| 11 |
+
"</box>"
|
| 12 |
+
],
|
| 13 |
+
"eos_token": {
|
| 14 |
+
"content": "<|im_end|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false
|
| 19 |
+
},
|
| 20 |
+
"pad_token": {
|
| 21 |
+
"content": "<|endoftext|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false
|
| 26 |
+
}
|
| 27 |
+
}
|
Q3_K_M/tokenizer_config.json
ADDED
|
@@ -0,0 +1,308 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": false,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"151643": {
|
| 7 |
+
"content": "<|endoftext|>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"151644": {
|
| 15 |
+
"content": "<|im_start|>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"151645": {
|
| 23 |
+
"content": "<|im_end|>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
},
|
| 30 |
+
"151646": {
|
| 31 |
+
"content": "<|object_ref_start|>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": true
|
| 37 |
+
},
|
| 38 |
+
"151647": {
|
| 39 |
+
"content": "<|object_ref_end|>",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": false,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"single_word": false,
|
| 44 |
+
"special": true
|
| 45 |
+
},
|
| 46 |
+
"151648": {
|
| 47 |
+
"content": "<|box_start|>",
|
| 48 |
+
"lstrip": false,
|
| 49 |
+
"normalized": false,
|
| 50 |
+
"rstrip": false,
|
| 51 |
+
"single_word": false,
|
| 52 |
+
"special": true
|
| 53 |
+
},
|
| 54 |
+
"151649": {
|
| 55 |
+
"content": "<|box_end|>",
|
| 56 |
+
"lstrip": false,
|
| 57 |
+
"normalized": false,
|
| 58 |
+
"rstrip": false,
|
| 59 |
+
"single_word": false,
|
| 60 |
+
"special": true
|
| 61 |
+
},
|
| 62 |
+
"151650": {
|
| 63 |
+
"content": "<|quad_start|>",
|
| 64 |
+
"lstrip": false,
|
| 65 |
+
"normalized": false,
|
| 66 |
+
"rstrip": false,
|
| 67 |
+
"single_word": false,
|
| 68 |
+
"special": true
|
| 69 |
+
},
|
| 70 |
+
"151651": {
|
| 71 |
+
"content": "<|quad_end|>",
|
| 72 |
+
"lstrip": false,
|
| 73 |
+
"normalized": false,
|
| 74 |
+
"rstrip": false,
|
| 75 |
+
"single_word": false,
|
| 76 |
+
"special": true
|
| 77 |
+
},
|
| 78 |
+
"151652": {
|
| 79 |
+
"content": "<|vision_start|>",
|
| 80 |
+
"lstrip": false,
|
| 81 |
+
"normalized": false,
|
| 82 |
+
"rstrip": false,
|
| 83 |
+
"single_word": false,
|
| 84 |
+
"special": true
|
| 85 |
+
},
|
| 86 |
+
"151653": {
|
| 87 |
+
"content": "<|vision_end|>",
|
| 88 |
+
"lstrip": false,
|
| 89 |
+
"normalized": false,
|
| 90 |
+
"rstrip": false,
|
| 91 |
+
"single_word": false,
|
| 92 |
+
"special": true
|
| 93 |
+
},
|
| 94 |
+
"151654": {
|
| 95 |
+
"content": "<|vision_pad|>",
|
| 96 |
+
"lstrip": false,
|
| 97 |
+
"normalized": false,
|
| 98 |
+
"rstrip": false,
|
| 99 |
+
"single_word": false,
|
| 100 |
+
"special": true
|
| 101 |
+
},
|
| 102 |
+
"151655": {
|
| 103 |
+
"content": "<|image_pad|>",
|
| 104 |
+
"lstrip": false,
|
| 105 |
+
"normalized": false,
|
| 106 |
+
"rstrip": false,
|
| 107 |
+
"single_word": false,
|
| 108 |
+
"special": true
|
| 109 |
+
},
|
| 110 |
+
"151656": {
|
| 111 |
+
"content": "<|video_pad|>",
|
| 112 |
+
"lstrip": false,
|
| 113 |
+
"normalized": false,
|
| 114 |
+
"rstrip": false,
|
| 115 |
+
"single_word": false,
|
| 116 |
+
"special": true
|
| 117 |
+
},
|
| 118 |
+
"151657": {
|
| 119 |
+
"content": "<tool_call>",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": false,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false,
|
| 124 |
+
"special": false
|
| 125 |
+
},
|
| 126 |
+
"151658": {
|
| 127 |
+
"content": "</tool_call>",
|
| 128 |
+
"lstrip": false,
|
| 129 |
+
"normalized": false,
|
| 130 |
+
"rstrip": false,
|
| 131 |
+
"single_word": false,
|
| 132 |
+
"special": false
|
| 133 |
+
},
|
| 134 |
+
"151659": {
|
| 135 |
+
"content": "<|fim_prefix|>",
|
| 136 |
+
"lstrip": false,
|
| 137 |
+
"normalized": false,
|
| 138 |
+
"rstrip": false,
|
| 139 |
+
"single_word": false,
|
| 140 |
+
"special": false
|
| 141 |
+
},
|
| 142 |
+
"151660": {
|
| 143 |
+
"content": "<|fim_middle|>",
|
| 144 |
+
"lstrip": false,
|
| 145 |
+
"normalized": false,
|
| 146 |
+
"rstrip": false,
|
| 147 |
+
"single_word": false,
|
| 148 |
+
"special": false
|
| 149 |
+
},
|
| 150 |
+
"151661": {
|
| 151 |
+
"content": "<|fim_suffix|>",
|
| 152 |
+
"lstrip": false,
|
| 153 |
+
"normalized": false,
|
| 154 |
+
"rstrip": false,
|
| 155 |
+
"single_word": false,
|
| 156 |
+
"special": false
|
| 157 |
+
},
|
| 158 |
+
"151662": {
|
| 159 |
+
"content": "<|fim_pad|>",
|
| 160 |
+
"lstrip": false,
|
| 161 |
+
"normalized": false,
|
| 162 |
+
"rstrip": false,
|
| 163 |
+
"single_word": false,
|
| 164 |
+
"special": false
|
| 165 |
+
},
|
| 166 |
+
"151663": {
|
| 167 |
+
"content": "<|repo_name|>",
|
| 168 |
+
"lstrip": false,
|
| 169 |
+
"normalized": false,
|
| 170 |
+
"rstrip": false,
|
| 171 |
+
"single_word": false,
|
| 172 |
+
"special": false
|
| 173 |
+
},
|
| 174 |
+
"151664": {
|
| 175 |
+
"content": "<|file_sep|>",
|
| 176 |
+
"lstrip": false,
|
| 177 |
+
"normalized": false,
|
| 178 |
+
"rstrip": false,
|
| 179 |
+
"single_word": false,
|
| 180 |
+
"special": false
|
| 181 |
+
},
|
| 182 |
+
"151665": {
|
| 183 |
+
"content": "<tool_response>",
|
| 184 |
+
"lstrip": false,
|
| 185 |
+
"normalized": false,
|
| 186 |
+
"rstrip": false,
|
| 187 |
+
"single_word": false,
|
| 188 |
+
"special": false
|
| 189 |
+
},
|
| 190 |
+
"151666": {
|
| 191 |
+
"content": "</tool_response>",
|
| 192 |
+
"lstrip": false,
|
| 193 |
+
"normalized": false,
|
| 194 |
+
"rstrip": false,
|
| 195 |
+
"single_word": false,
|
| 196 |
+
"special": false
|
| 197 |
+
},
|
| 198 |
+
"151667": {
|
| 199 |
+
"content": "<think>",
|
| 200 |
+
"lstrip": false,
|
| 201 |
+
"normalized": false,
|
| 202 |
+
"rstrip": false,
|
| 203 |
+
"single_word": false,
|
| 204 |
+
"special": false
|
| 205 |
+
},
|
| 206 |
+
"151668": {
|
| 207 |
+
"content": "</think>",
|
| 208 |
+
"lstrip": false,
|
| 209 |
+
"normalized": false,
|
| 210 |
+
"rstrip": false,
|
| 211 |
+
"single_word": false,
|
| 212 |
+
"special": false
|
| 213 |
+
},
|
| 214 |
+
"151669": {
|
| 215 |
+
"content": "<img>",
|
| 216 |
+
"lstrip": false,
|
| 217 |
+
"normalized": false,
|
| 218 |
+
"rstrip": false,
|
| 219 |
+
"single_word": false,
|
| 220 |
+
"special": true
|
| 221 |
+
},
|
| 222 |
+
"151670": {
|
| 223 |
+
"content": "</img>",
|
| 224 |
+
"lstrip": false,
|
| 225 |
+
"normalized": false,
|
| 226 |
+
"rstrip": false,
|
| 227 |
+
"single_word": false,
|
| 228 |
+
"special": true
|
| 229 |
+
},
|
| 230 |
+
"151671": {
|
| 231 |
+
"content": "<IMG_CONTEXT>",
|
| 232 |
+
"lstrip": false,
|
| 233 |
+
"normalized": false,
|
| 234 |
+
"rstrip": false,
|
| 235 |
+
"single_word": false,
|
| 236 |
+
"special": true
|
| 237 |
+
},
|
| 238 |
+
"151672": {
|
| 239 |
+
"content": "<quad>",
|
| 240 |
+
"lstrip": false,
|
| 241 |
+
"normalized": false,
|
| 242 |
+
"rstrip": false,
|
| 243 |
+
"single_word": false,
|
| 244 |
+
"special": true
|
| 245 |
+
},
|
| 246 |
+
"151673": {
|
| 247 |
+
"content": "</quad>",
|
| 248 |
+
"lstrip": false,
|
| 249 |
+
"normalized": false,
|
| 250 |
+
"rstrip": false,
|
| 251 |
+
"single_word": false,
|
| 252 |
+
"special": true
|
| 253 |
+
},
|
| 254 |
+
"151674": {
|
| 255 |
+
"content": "<ref>",
|
| 256 |
+
"lstrip": false,
|
| 257 |
+
"normalized": false,
|
| 258 |
+
"rstrip": false,
|
| 259 |
+
"single_word": false,
|
| 260 |
+
"special": true
|
| 261 |
+
},
|
| 262 |
+
"151675": {
|
| 263 |
+
"content": "</ref>",
|
| 264 |
+
"lstrip": false,
|
| 265 |
+
"normalized": false,
|
| 266 |
+
"rstrip": false,
|
| 267 |
+
"single_word": false,
|
| 268 |
+
"special": true
|
| 269 |
+
},
|
| 270 |
+
"151676": {
|
| 271 |
+
"content": "<box>",
|
| 272 |
+
"lstrip": false,
|
| 273 |
+
"normalized": false,
|
| 274 |
+
"rstrip": false,
|
| 275 |
+
"single_word": false,
|
| 276 |
+
"special": true
|
| 277 |
+
},
|
| 278 |
+
"151677": {
|
| 279 |
+
"content": "</box>",
|
| 280 |
+
"lstrip": false,
|
| 281 |
+
"normalized": false,
|
| 282 |
+
"rstrip": false,
|
| 283 |
+
"single_word": false,
|
| 284 |
+
"special": true
|
| 285 |
+
}
|
| 286 |
+
},
|
| 287 |
+
"additional_special_tokens": [
|
| 288 |
+
"<img>",
|
| 289 |
+
"</img>",
|
| 290 |
+
"<IMG_CONTEXT>",
|
| 291 |
+
"<quad>",
|
| 292 |
+
"</quad>",
|
| 293 |
+
"<ref>",
|
| 294 |
+
"</ref>",
|
| 295 |
+
"<box>",
|
| 296 |
+
"</box>"
|
| 297 |
+
],
|
| 298 |
+
"bos_token": null,
|
| 299 |
+
"clean_up_tokenization_spaces": false,
|
| 300 |
+
"eos_token": "<|im_end|>",
|
| 301 |
+
"errors": "replace",
|
| 302 |
+
"extra_special_tokens": {},
|
| 303 |
+
"model_max_length": 8192,
|
| 304 |
+
"pad_token": "<|endoftext|>",
|
| 305 |
+
"split_special_tokens": false,
|
| 306 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 307 |
+
"unk_token": null
|
| 308 |
+
}
|
Q3_K_M/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Q3_K_S/Qolda-Q3_K_S.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dbeab7f510099010636ba780e50949d559fd0aa254926820db247a33706e1fec
|
| 3 |
+
size 1886997056
|
Q3_K_S/README.md
ADDED
|
@@ -0,0 +1,199 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- kk
|
| 4 |
+
- ru
|
| 5 |
+
- en
|
| 6 |
+
base_model:
|
| 7 |
+
- OpenGVLab/InternVL3_5-4B
|
| 8 |
+
pipeline_tag: image-text-to-text
|
| 9 |
+
---
|
| 10 |
+
[Қазақша](#кіріспе) [English](#introduction)
|
| 11 |
+
|
| 12 |
+
# Qolda
|
| 13 |
+
[](https://github.com/IS2AI/Qolda-deployment)
|
| 14 |
+
[](https://www.apache.org/licenses/LICENSE-2.0)
|
| 15 |
+
|
| 16 |
+
## Introduction
|
| 17 |
+
Built on top of InternVL3.5 and Qwen3, **Qolda** is a small vision-language model designed to operate in Kazakh, Russian, and English. The model has 4.3B parameters and comprises the InternViT-300M vision encoder and MLP Projector components from [InternVL3.5-4B](https://huggingface.co/OpenGVLab/InternVL3_5-4B), along with the [Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) language model. Model training was performed using the [InternVL framework](https://github.com/OpenGVLab/InternVL) 💙
|
| 18 |
+
|
| 19 |
+
The name "Qolda" reflects both its design and purpose in Kazakh: "in hand" (қолда) for its compact accessibility, and "to support" (қолдау) for its assistive nature.
|
| 20 |
+
|
| 21 |
+
## Evaluation Results
|
| 22 |
+
Evaluation was conducted separately for text-only and vision-language modalities. Qolda demonstrates significant performance improvements for Kazakh while maintaining comparable performance on Russian and English.
|
| 23 |
+
|
| 24 |
+
### Text Benchmarks
|
| 25 |
+
|
| 26 |
+
*Performance comparison on language tasks including MMLU, Winogrande, HellaSwag, ARC, GSM8K, and DROP.*
|
| 27 |
+
|
| 28 |
+
**Note:** The comparison below presents Qolda's performance against Qwen3-4B on **Kazakh** language benchmarks only. Evaluation results for additional models and performance on Russian and English will be added later.
|
| 29 |
+
|
| 30 |
+
| Model | Mode | Avg | MMLU | Winogrande | HellaSwag | ARC | GSM8K | DROP |
|
| 31 |
+
|-------|------|-----|------|------------|-----------|-----|-------|------|
|
| 32 |
+
| Qwen3-4B | Direct | 52.00 | 42.43 | 56.88 | 42.04 | 64.77 | 73.62 | 32.27 |
|
| 33 |
+
| Qwen3-4B | Think | 57.73 | 52.98 | 51.27 | 41.86 | 79.65 | 64.82 | 55.81 |
|
| 34 |
+
| Qolda | Direct | 58.77 | 46.55 | 56.37 | 55.75 | 73.62 | 63.50 | 56.84 |
|
| 35 |
+
| Qolda | Think | **71.64** | **64.56** | **70.54** | **57.70** | **89.99** | **79.47** | **67.59** |
|
| 36 |
+
|
| 37 |
+
### Vision Benchmarks
|
| 38 |
+
|
| 39 |
+
*Performance comparison on vision-language tasks including AI2D, MMStar, RealWorldQA, and KazakhOCR.*
|
| 40 |
+
|
| 41 |
+
**Note:** The comparison below presents Qolda's performance against InternVL3.5-4B on **Kazakh** vision-language benchmarks only. Evaluation results for additional models and performance on Russian and English will be added later.
|
| 42 |
+
|
| 43 |
+
| Model | Mode | Avg | AI2D | MMStar | RealWorldQA | KazakhOCR |
|
| 44 |
+
|-------|------|--------|--------|----------|---------------|-------------|
|
| 45 |
+
| InternVL3.5-4B | Direct | 42.23 | 52.33 | 47.47 | 38.32 | 30.81 |
|
| 46 |
+
| InternVL3.5-4B | Think | 42.58 | 51.42 | 49.33 | 38.74 | 30.81 |
|
| 47 |
+
| Qolda | Direct | 59.39 | 66.06 | 55.47 | 54.97 | **61.06** |
|
| 48 |
+
| Qolda | Think | **60.44** | **67.62** | **56.53** | **57.07** | 60.54 |
|
| 49 |
+
|
| 50 |
+
## Model Usage
|
| 51 |
+
To run inference with Transformers, please follow the [guidelines](https://huggingface.co/OpenGVLab/InternVL3_5-4B#inference-with-transformers) from InternVL.
|
| 52 |
+
|
| 53 |
+
Alternatively, to run the model via an OpenAI-compatible server, you can use lmdeploy:
|
| 54 |
+
```bash
|
| 55 |
+
pip install lmdeploy>=0.9.1
|
| 56 |
+
|
| 57 |
+
lmdeploy serve api_server issai/Qolda --server-port 23333 --tp 1 --backend pytorch
|
| 58 |
+
```
|
| 59 |
+
|
| 60 |
+
**Note:** Unlike the original InternVL3.5, this model requires the `enable_thinking` parameter to be explicitly set in the `extra_body` of your API calls. However, depending on the task complexity, an empty thinking response might be generated.
|
| 61 |
+
|
| 62 |
+
Then, make a standard API call:
|
| 63 |
+
|
| 64 |
+
```python
|
| 65 |
+
import base64
|
| 66 |
+
from openai import OpenAI
|
| 67 |
+
|
| 68 |
+
client = OpenAI(api_key='YOUR_API_KEY', base_url='http://0.0.0.0:23333/v1')
|
| 69 |
+
|
| 70 |
+
def encode_image(image_path):
|
| 71 |
+
with open(image_path, "rb") as image_file:
|
| 72 |
+
return base64.b64encode(image_file.read()).decode('utf-8')
|
| 73 |
+
|
| 74 |
+
image_path = "./assets/eval-results-text.png"
|
| 75 |
+
|
| 76 |
+
response = client.chat.completions.create(
|
| 77 |
+
model=client.models.list().data[0].id,
|
| 78 |
+
messages=[{
|
| 79 |
+
'role': 'user',
|
| 80 |
+
'content': [
|
| 81 |
+
{
|
| 82 |
+
'type': 'text',
|
| 83 |
+
'text': 'Берілген диаграмманың сипаттамасын бер.'
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
'type': 'image_url',
|
| 87 |
+
'image_url': {
|
| 88 |
+
'url': f'data:image/png;base64,{encode_image(image_path)}',
|
| 89 |
+
},
|
| 90 |
+
}
|
| 91 |
+
],
|
| 92 |
+
}],
|
| 93 |
+
max_tokens=8192,
|
| 94 |
+
temperature=0.6,
|
| 95 |
+
top_p=0.95,
|
| 96 |
+
extra_body={
|
| 97 |
+
"top_k": 20,
|
| 98 |
+
"enable_thinking": True
|
| 99 |
+
},
|
| 100 |
+
)
|
| 101 |
+
|
| 102 |
+
print(response.choices[0].message.content)
|
| 103 |
+
```
|
| 104 |
+
|
| 105 |
+
## License
|
| 106 |
+
This model is licensed under the Apache License 2.0.
|
| 107 |
+
|
| 108 |
+
|
| 109 |
+
## Кіріспе
|
| 110 |
+
InternVL3.5 және Qwen3 негізінде жаса��ған **Qolda** — қазақ, орыс және ағылшын тілдерінде жұмыс істеуге арналған шағын көру-тілдік моделі (vision-language model). Модель 4,3 млрд параметрге ие және [InternVL3.5-4B](https://huggingface.co/OpenGVLab/InternVL3_5-4B) моделінің InternViT-300M көру энкодері мен MLP проектор компоненттерін, сондай-ақ [Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) тілдік моделін қамтиды. Модельді оқыту [InternVL фреймворкі](https://github.com/OpenGVLab/InternVL) көмегімен жүзеге асырылды 💙
|
| 111 |
+
|
| 112 |
+
"Qolda" атауы модельдің дизайны мен мақсатын қазақ тіліндегі қолда сөзінің қос мағынасы арқылы көрсетеді. Біріншісі, шағын әрі қолжетімді болуы үшін "қолда" cөзі арқылы және екіншісі, көмекші табиғаты үшін, "қолдау" мағынасы арқылы.
|
| 113 |
+
|
| 114 |
+
## Бағалау нәтижелері
|
| 115 |
+
Мәтіндік және көру-тілдік модальділіктер үшін бағалау бөлек жүргізілді. Qolda орыс және ағылшын тілдеріндегі өзінің бастапқы деңгейін сақтай отырып, қазақ тіліндегі өнімділігін айтарлықтай жақсартты.
|
| 116 |
+
|
| 117 |
+
### Мәтіндік бенчмарктар
|
| 118 |
+
|
| 119 |
+
*MMLU, Winogrande, HellaSwag, ARC, GSM8K және DROP сияқты тілдік тапсырмалардағы өнімділікті салыстыру.*
|
| 120 |
+
|
| 121 |
+
**Ескерту:** Төмендегі кестедегі Qolda және Qwen3-4B модельдерінің салыстырылуы тек **қазақ** тіліндегі бенчмарктар нәтижелерін көрсетеді. Басқа модельдердің өнімділігі, сондай-ақ орыс және ағылшын тілдеріндегі көрсеткіштер кейінірек ұсынылады.
|
| 122 |
+
|
| 123 |
+
| Model | Mode | Avg | MMLU | Winogrande | HellaSwag | ARC | GSM8K | DROP |
|
| 124 |
+
|-------|------|-----|------|------------|-----------|-----|-------|------|
|
| 125 |
+
| Qwen3-4B | Direct | 52.00 | 42.43 | 56.88 | 42.04 | 64.77 | 73.62 | 32.27 |
|
| 126 |
+
| Qwen3-4B | Think | 57.73 | 52.98 | 51.27 | 41.86 | 79.65 | 64.82 | 55.81 |
|
| 127 |
+
| Qolda | Direct | 58.77 | 46.55 | 56.37 | 55.75 | 73.62 | 63.50 | 56.84 |
|
| 128 |
+
| Qolda | Think | **71.64** | **64.56** | **70.54** | **57.70** | **89.99** | **79.47** | **67.59** |
|
| 129 |
+
|
| 130 |
+
### Көру бенчмарктары
|
| 131 |
+
|
| 132 |
+
*AI2D, MMStar, RealWorldQA және KazakhOCR сияқты көру-тілдік тапсырмаларындағы өнімділікті салыстыру.*
|
| 133 |
+
|
| 134 |
+
**Ескерту:** Төмендегі кестедегі Qolda және InternVL3.5-4B модельдерінің салыстырылуы тек **қазақ** тіліндегі көру-тілдік бенчмарктар нәтижелерін көрсетеді. Басқа модельдердің өнімділігі, сондай-ақ орыс және ағылшын тілдеріндегі көрсеткіштер кейінірек ұсынылады.
|
| 135 |
+
|
| 136 |
+
| Model | Mode | Avg | AI2D | MMStar | RealWorldQA | KazakhOCR |
|
| 137 |
+
|-------|------|--------|--------|----------|---------------|-------------|
|
| 138 |
+
| InternVL3.5-4B | Direct | 42.23 | 52.33 | 47.47 | 38.32 | 30.81 |
|
| 139 |
+
| InternVL3.5-4B | Think | 42.58 | 51.42 | 49.33 | 38.74 | 30.81 |
|
| 140 |
+
| Qolda | Direct | 59.39 | 66.06 | 55.47 | 54.97 | **61.06** |
|
| 141 |
+
| Qolda | Think | **60.44** | **67.62** | **56.53** | **57.07** | 60.54 |
|
| 142 |
+
|
| 143 |
+
## Модельді қолдану
|
| 144 |
+
Transformers арқылы инференсті іске қосу үшін InternVL ұсынған [нұсқаулықтарды](https://huggingface.co/OpenGVLab/InternVL3_5-4B#inference-with-transformers) орындаңыз.
|
| 145 |
+
|
| 146 |
+
Немесе, модельді OpenAI-үйлесімді сервер арқылы іске қосу үшін lmdeploy құралын пайдалануға болады:
|
| 147 |
+
```bash
|
| 148 |
+
pip install lmdeploy>=0.9.1
|
| 149 |
+
|
| 150 |
+
lmdeploy serve api_server issai/Qolda --server-port 23333 --tp 1 --backend pytorch
|
| 151 |
+
```
|
| 152 |
+
|
| 153 |
+
**Ескерту:** Qolda-ның түпнұсқалық InternVL3.5-тен айырмашылығы, бұл модель API call жасаған кезде `extra_body` бөлігінде `enable_thinking` параметрінің нақты орнатылуын талап етеді. Тапсырманың күрделілігіне байланысты бос thinking жауабы қайтарылуы мүмкін.
|
| 154 |
+
|
| 155 |
+
Содан соң, стандартты API call жасаңыз:
|
| 156 |
+
|
| 157 |
+
```python
|
| 158 |
+
import base64
|
| 159 |
+
from openai import OpenAI
|
| 160 |
+
|
| 161 |
+
client = OpenAI(api_key='YOUR_API_KEY', base_url='http://0.0.0.0:23333/v1')
|
| 162 |
+
|
| 163 |
+
def encode_image(image_path):
|
| 164 |
+
with open(image_path, "rb") as image_file:
|
| 165 |
+
return base64.b64encode(image_file.read()).decode('utf-8')
|
| 166 |
+
|
| 167 |
+
image_path = "./assets/eval-results-text.png"
|
| 168 |
+
|
| 169 |
+
response = client.chat.completions.create(
|
| 170 |
+
model=client.models.list().data[0].id,
|
| 171 |
+
messages=[{
|
| 172 |
+
'role': 'user',
|
| 173 |
+
'content': [
|
| 174 |
+
{
|
| 175 |
+
'type': 'text',
|
| 176 |
+
'text': 'Берілген диаграмманың сипаттамасын бер.'
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
'type': 'image_url',
|
| 180 |
+
'image_url': {
|
| 181 |
+
'url': f'data:image/png;base64,{encode_image(image_path)}',
|
| 182 |
+
},
|
| 183 |
+
}
|
| 184 |
+
],
|
| 185 |
+
}],
|
| 186 |
+
max_tokens=8192,
|
| 187 |
+
temperature=0.6,
|
| 188 |
+
top_p=0.95,
|
| 189 |
+
extra_body={
|
| 190 |
+
"top_k": 20,
|
| 191 |
+
"enable_thinking": True
|
| 192 |
+
},
|
| 193 |
+
)
|
| 194 |
+
|
| 195 |
+
print(response.choices[0].message.content)
|
| 196 |
+
```
|
| 197 |
+
|
| 198 |
+
## Лицензия
|
| 199 |
+
Бұл модель Apache License 2.0 бойынша лицензияланған.
|
Q3_K_S/config.json
ADDED
|
@@ -0,0 +1,128 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"InternVLChatModel"
|
| 4 |
+
],
|
| 5 |
+
"auto_map": {
|
| 6 |
+
"AutoConfig": "configuration_internvl_chat.InternVLChatConfig",
|
| 7 |
+
"AutoModel": "modeling_internvl_chat.InternVLChatModel",
|
| 8 |
+
"AutoModelForCausalLM": "modeling_internvl_chat.InternVLChatModel"
|
| 9 |
+
},
|
| 10 |
+
"downsample_ratio": 0.5,
|
| 11 |
+
"dynamic_image_size": true,
|
| 12 |
+
"eos_token_id": 151645,
|
| 13 |
+
"force_image_size": 448,
|
| 14 |
+
"hidden_size": 2560,
|
| 15 |
+
"llm_config": {
|
| 16 |
+
"_attn_implementation_autoset": true,
|
| 17 |
+
"architectures": [
|
| 18 |
+
"Qwen3ForCausalLM"
|
| 19 |
+
],
|
| 20 |
+
"attention_bias": false,
|
| 21 |
+
"attention_dropout": 0.0,
|
| 22 |
+
"eos_token_id": 151645,
|
| 23 |
+
"head_dim": 128,
|
| 24 |
+
"hidden_act": "silu",
|
| 25 |
+
"hidden_size": 2560,
|
| 26 |
+
"initializer_range": 0.02,
|
| 27 |
+
"intermediate_size": 9728,
|
| 28 |
+
"layer_types": [
|
| 29 |
+
"full_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"full_attention",
|
| 43 |
+
"full_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"full_attention",
|
| 47 |
+
"full_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"full_attention",
|
| 50 |
+
"full_attention",
|
| 51 |
+
"full_attention",
|
| 52 |
+
"full_attention",
|
| 53 |
+
"full_attention",
|
| 54 |
+
"full_attention",
|
| 55 |
+
"full_attention",
|
| 56 |
+
"full_attention",
|
| 57 |
+
"full_attention",
|
| 58 |
+
"full_attention",
|
| 59 |
+
"full_attention",
|
| 60 |
+
"full_attention",
|
| 61 |
+
"full_attention",
|
| 62 |
+
"full_attention",
|
| 63 |
+
"full_attention",
|
| 64 |
+
"full_attention"
|
| 65 |
+
],
|
| 66 |
+
"max_position_embeddings": 40960,
|
| 67 |
+
"max_window_layers": 36,
|
| 68 |
+
"model_type": "qwen3",
|
| 69 |
+
"num_attention_heads": 32,
|
| 70 |
+
"num_hidden_layers": 36,
|
| 71 |
+
"num_key_value_heads": 8,
|
| 72 |
+
"rms_norm_eps": 1e-06,
|
| 73 |
+
"rope_scaling": null,
|
| 74 |
+
"rope_theta": 1000000,
|
| 75 |
+
"sliding_window": null,
|
| 76 |
+
"tie_word_embeddings": true,
|
| 77 |
+
"torch_dtype": "bfloat16",
|
| 78 |
+
"use_cache": false,
|
| 79 |
+
"use_sliding_window": false,
|
| 80 |
+
"vocab_size": 151936
|
| 81 |
+
},
|
| 82 |
+
"max_dynamic_patch": 12,
|
| 83 |
+
"min_dynamic_patch": 1,
|
| 84 |
+
"model_type": "internvl_chat",
|
| 85 |
+
"output_attentions": false,
|
| 86 |
+
"pad2square": false,
|
| 87 |
+
"pad_token_id": 151643,
|
| 88 |
+
"ps_version": "v2",
|
| 89 |
+
"select_layer": -1,
|
| 90 |
+
"template": "internvl2_5",
|
| 91 |
+
"tie_word_embeddings": true,
|
| 92 |
+
"torch_dtype": "bfloat16",
|
| 93 |
+
"transformers_version": null,
|
| 94 |
+
"use_backbone_lora": 0,
|
| 95 |
+
"use_llm_lora": 0,
|
| 96 |
+
"use_thumbnail": true,
|
| 97 |
+
"vision_config": {
|
| 98 |
+
"_attn_implementation_autoset": true,
|
| 99 |
+
"architectures": [
|
| 100 |
+
"InternVisionModel"
|
| 101 |
+
],
|
| 102 |
+
"attention_dropout": 0.0,
|
| 103 |
+
"auto_map": {
|
| 104 |
+
"AutoConfig": "configuration_intern_vit.InternVisionConfig",
|
| 105 |
+
"AutoModel": "modeling_intern_vit.InternVisionModel"
|
| 106 |
+
},
|
| 107 |
+
"drop_path_rate": 0.0,
|
| 108 |
+
"dropout": 0.0,
|
| 109 |
+
"hidden_act": "gelu",
|
| 110 |
+
"hidden_size": 1024,
|
| 111 |
+
"image_size": 448,
|
| 112 |
+
"initializer_factor": 1.0,
|
| 113 |
+
"initializer_range": 0.02,
|
| 114 |
+
"intermediate_size": 4096,
|
| 115 |
+
"layer_norm_eps": 1e-06,
|
| 116 |
+
"model_type": "intern_vit_6b",
|
| 117 |
+
"norm_type": "layer_norm",
|
| 118 |
+
"num_attention_heads": 16,
|
| 119 |
+
"num_channels": 3,
|
| 120 |
+
"num_hidden_layers": 24,
|
| 121 |
+
"patch_size": 14,
|
| 122 |
+
"qk_normalization": false,
|
| 123 |
+
"qkv_bias": true,
|
| 124 |
+
"torch_dtype": "bfloat16",
|
| 125 |
+
"use_fa3": false,
|
| 126 |
+
"use_flash_attn": true
|
| 127 |
+
}
|
| 128 |
+
}
|
Q3_K_S/generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 151643,
|
| 4 |
+
"eos_token_id": 151645,
|
| 5 |
+
"pad_token_id": 151643,
|
| 6 |
+
"transformers_version": "4.51.0"
|
| 7 |
+
}
|
Q3_K_S/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Q3_K_S/special_tokens_map.json
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<img>",
|
| 4 |
+
"</img>",
|
| 5 |
+
"<IMG_CONTEXT>",
|
| 6 |
+
"<quad>",
|
| 7 |
+
"</quad>",
|
| 8 |
+
"<ref>",
|
| 9 |
+
"</ref>",
|
| 10 |
+
"<box>",
|
| 11 |
+
"</box>"
|
| 12 |
+
],
|
| 13 |
+
"eos_token": {
|
| 14 |
+
"content": "<|im_end|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false
|
| 19 |
+
},
|
| 20 |
+
"pad_token": {
|
| 21 |
+
"content": "<|endoftext|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false
|
| 26 |
+
}
|
| 27 |
+
}
|
Q3_K_S/tokenizer_config.json
ADDED
|
@@ -0,0 +1,308 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": false,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"151643": {
|
| 7 |
+
"content": "<|endoftext|>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"151644": {
|
| 15 |
+
"content": "<|im_start|>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"151645": {
|
| 23 |
+
"content": "<|im_end|>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
},
|
| 30 |
+
"151646": {
|
| 31 |
+
"content": "<|object_ref_start|>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": true
|
| 37 |
+
},
|
| 38 |
+
"151647": {
|
| 39 |
+
"content": "<|object_ref_end|>",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": false,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"single_word": false,
|
| 44 |
+
"special": true
|
| 45 |
+
},
|
| 46 |
+
"151648": {
|
| 47 |
+
"content": "<|box_start|>",
|
| 48 |
+
"lstrip": false,
|
| 49 |
+
"normalized": false,
|
| 50 |
+
"rstrip": false,
|
| 51 |
+
"single_word": false,
|
| 52 |
+
"special": true
|
| 53 |
+
},
|
| 54 |
+
"151649": {
|
| 55 |
+
"content": "<|box_end|>",
|
| 56 |
+
"lstrip": false,
|
| 57 |
+
"normalized": false,
|
| 58 |
+
"rstrip": false,
|
| 59 |
+
"single_word": false,
|
| 60 |
+
"special": true
|
| 61 |
+
},
|
| 62 |
+
"151650": {
|
| 63 |
+
"content": "<|quad_start|>",
|
| 64 |
+
"lstrip": false,
|
| 65 |
+
"normalized": false,
|
| 66 |
+
"rstrip": false,
|
| 67 |
+
"single_word": false,
|
| 68 |
+
"special": true
|
| 69 |
+
},
|
| 70 |
+
"151651": {
|
| 71 |
+
"content": "<|quad_end|>",
|
| 72 |
+
"lstrip": false,
|
| 73 |
+
"normalized": false,
|
| 74 |
+
"rstrip": false,
|
| 75 |
+
"single_word": false,
|
| 76 |
+
"special": true
|
| 77 |
+
},
|
| 78 |
+
"151652": {
|
| 79 |
+
"content": "<|vision_start|>",
|
| 80 |
+
"lstrip": false,
|
| 81 |
+
"normalized": false,
|
| 82 |
+
"rstrip": false,
|
| 83 |
+
"single_word": false,
|
| 84 |
+
"special": true
|
| 85 |
+
},
|
| 86 |
+
"151653": {
|
| 87 |
+
"content": "<|vision_end|>",
|
| 88 |
+
"lstrip": false,
|
| 89 |
+
"normalized": false,
|
| 90 |
+
"rstrip": false,
|
| 91 |
+
"single_word": false,
|
| 92 |
+
"special": true
|
| 93 |
+
},
|
| 94 |
+
"151654": {
|
| 95 |
+
"content": "<|vision_pad|>",
|
| 96 |
+
"lstrip": false,
|
| 97 |
+
"normalized": false,
|
| 98 |
+
"rstrip": false,
|
| 99 |
+
"single_word": false,
|
| 100 |
+
"special": true
|
| 101 |
+
},
|
| 102 |
+
"151655": {
|
| 103 |
+
"content": "<|image_pad|>",
|
| 104 |
+
"lstrip": false,
|
| 105 |
+
"normalized": false,
|
| 106 |
+
"rstrip": false,
|
| 107 |
+
"single_word": false,
|
| 108 |
+
"special": true
|
| 109 |
+
},
|
| 110 |
+
"151656": {
|
| 111 |
+
"content": "<|video_pad|>",
|
| 112 |
+
"lstrip": false,
|
| 113 |
+
"normalized": false,
|
| 114 |
+
"rstrip": false,
|
| 115 |
+
"single_word": false,
|
| 116 |
+
"special": true
|
| 117 |
+
},
|
| 118 |
+
"151657": {
|
| 119 |
+
"content": "<tool_call>",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": false,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false,
|
| 124 |
+
"special": false
|
| 125 |
+
},
|
| 126 |
+
"151658": {
|
| 127 |
+
"content": "</tool_call>",
|
| 128 |
+
"lstrip": false,
|
| 129 |
+
"normalized": false,
|
| 130 |
+
"rstrip": false,
|
| 131 |
+
"single_word": false,
|
| 132 |
+
"special": false
|
| 133 |
+
},
|
| 134 |
+
"151659": {
|
| 135 |
+
"content": "<|fim_prefix|>",
|
| 136 |
+
"lstrip": false,
|
| 137 |
+
"normalized": false,
|
| 138 |
+
"rstrip": false,
|
| 139 |
+
"single_word": false,
|
| 140 |
+
"special": false
|
| 141 |
+
},
|
| 142 |
+
"151660": {
|
| 143 |
+
"content": "<|fim_middle|>",
|
| 144 |
+
"lstrip": false,
|
| 145 |
+
"normalized": false,
|
| 146 |
+
"rstrip": false,
|
| 147 |
+
"single_word": false,
|
| 148 |
+
"special": false
|
| 149 |
+
},
|
| 150 |
+
"151661": {
|
| 151 |
+
"content": "<|fim_suffix|>",
|
| 152 |
+
"lstrip": false,
|
| 153 |
+
"normalized": false,
|
| 154 |
+
"rstrip": false,
|
| 155 |
+
"single_word": false,
|
| 156 |
+
"special": false
|
| 157 |
+
},
|
| 158 |
+
"151662": {
|
| 159 |
+
"content": "<|fim_pad|>",
|
| 160 |
+
"lstrip": false,
|
| 161 |
+
"normalized": false,
|
| 162 |
+
"rstrip": false,
|
| 163 |
+
"single_word": false,
|
| 164 |
+
"special": false
|
| 165 |
+
},
|
| 166 |
+
"151663": {
|
| 167 |
+
"content": "<|repo_name|>",
|
| 168 |
+
"lstrip": false,
|
| 169 |
+
"normalized": false,
|
| 170 |
+
"rstrip": false,
|
| 171 |
+
"single_word": false,
|
| 172 |
+
"special": false
|
| 173 |
+
},
|
| 174 |
+
"151664": {
|
| 175 |
+
"content": "<|file_sep|>",
|
| 176 |
+
"lstrip": false,
|
| 177 |
+
"normalized": false,
|
| 178 |
+
"rstrip": false,
|
| 179 |
+
"single_word": false,
|
| 180 |
+
"special": false
|
| 181 |
+
},
|
| 182 |
+
"151665": {
|
| 183 |
+
"content": "<tool_response>",
|
| 184 |
+
"lstrip": false,
|
| 185 |
+
"normalized": false,
|
| 186 |
+
"rstrip": false,
|
| 187 |
+
"single_word": false,
|
| 188 |
+
"special": false
|
| 189 |
+
},
|
| 190 |
+
"151666": {
|
| 191 |
+
"content": "</tool_response>",
|
| 192 |
+
"lstrip": false,
|
| 193 |
+
"normalized": false,
|
| 194 |
+
"rstrip": false,
|
| 195 |
+
"single_word": false,
|
| 196 |
+
"special": false
|
| 197 |
+
},
|
| 198 |
+
"151667": {
|
| 199 |
+
"content": "<think>",
|
| 200 |
+
"lstrip": false,
|
| 201 |
+
"normalized": false,
|
| 202 |
+
"rstrip": false,
|
| 203 |
+
"single_word": false,
|
| 204 |
+
"special": false
|
| 205 |
+
},
|
| 206 |
+
"151668": {
|
| 207 |
+
"content": "</think>",
|
| 208 |
+
"lstrip": false,
|
| 209 |
+
"normalized": false,
|
| 210 |
+
"rstrip": false,
|
| 211 |
+
"single_word": false,
|
| 212 |
+
"special": false
|
| 213 |
+
},
|
| 214 |
+
"151669": {
|
| 215 |
+
"content": "<img>",
|
| 216 |
+
"lstrip": false,
|
| 217 |
+
"normalized": false,
|
| 218 |
+
"rstrip": false,
|
| 219 |
+
"single_word": false,
|
| 220 |
+
"special": true
|
| 221 |
+
},
|
| 222 |
+
"151670": {
|
| 223 |
+
"content": "</img>",
|
| 224 |
+
"lstrip": false,
|
| 225 |
+
"normalized": false,
|
| 226 |
+
"rstrip": false,
|
| 227 |
+
"single_word": false,
|
| 228 |
+
"special": true
|
| 229 |
+
},
|
| 230 |
+
"151671": {
|
| 231 |
+
"content": "<IMG_CONTEXT>",
|
| 232 |
+
"lstrip": false,
|
| 233 |
+
"normalized": false,
|
| 234 |
+
"rstrip": false,
|
| 235 |
+
"single_word": false,
|
| 236 |
+
"special": true
|
| 237 |
+
},
|
| 238 |
+
"151672": {
|
| 239 |
+
"content": "<quad>",
|
| 240 |
+
"lstrip": false,
|
| 241 |
+
"normalized": false,
|
| 242 |
+
"rstrip": false,
|
| 243 |
+
"single_word": false,
|
| 244 |
+
"special": true
|
| 245 |
+
},
|
| 246 |
+
"151673": {
|
| 247 |
+
"content": "</quad>",
|
| 248 |
+
"lstrip": false,
|
| 249 |
+
"normalized": false,
|
| 250 |
+
"rstrip": false,
|
| 251 |
+
"single_word": false,
|
| 252 |
+
"special": true
|
| 253 |
+
},
|
| 254 |
+
"151674": {
|
| 255 |
+
"content": "<ref>",
|
| 256 |
+
"lstrip": false,
|
| 257 |
+
"normalized": false,
|
| 258 |
+
"rstrip": false,
|
| 259 |
+
"single_word": false,
|
| 260 |
+
"special": true
|
| 261 |
+
},
|
| 262 |
+
"151675": {
|
| 263 |
+
"content": "</ref>",
|
| 264 |
+
"lstrip": false,
|
| 265 |
+
"normalized": false,
|
| 266 |
+
"rstrip": false,
|
| 267 |
+
"single_word": false,
|
| 268 |
+
"special": true
|
| 269 |
+
},
|
| 270 |
+
"151676": {
|
| 271 |
+
"content": "<box>",
|
| 272 |
+
"lstrip": false,
|
| 273 |
+
"normalized": false,
|
| 274 |
+
"rstrip": false,
|
| 275 |
+
"single_word": false,
|
| 276 |
+
"special": true
|
| 277 |
+
},
|
| 278 |
+
"151677": {
|
| 279 |
+
"content": "</box>",
|
| 280 |
+
"lstrip": false,
|
| 281 |
+
"normalized": false,
|
| 282 |
+
"rstrip": false,
|
| 283 |
+
"single_word": false,
|
| 284 |
+
"special": true
|
| 285 |
+
}
|
| 286 |
+
},
|
| 287 |
+
"additional_special_tokens": [
|
| 288 |
+
"<img>",
|
| 289 |
+
"</img>",
|
| 290 |
+
"<IMG_CONTEXT>",
|
| 291 |
+
"<quad>",
|
| 292 |
+
"</quad>",
|
| 293 |
+
"<ref>",
|
| 294 |
+
"</ref>",
|
| 295 |
+
"<box>",
|
| 296 |
+
"</box>"
|
| 297 |
+
],
|
| 298 |
+
"bos_token": null,
|
| 299 |
+
"clean_up_tokenization_spaces": false,
|
| 300 |
+
"eos_token": "<|im_end|>",
|
| 301 |
+
"errors": "replace",
|
| 302 |
+
"extra_special_tokens": {},
|
| 303 |
+
"model_max_length": 8192,
|
| 304 |
+
"pad_token": "<|endoftext|>",
|
| 305 |
+
"split_special_tokens": false,
|
| 306 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 307 |
+
"unk_token": null
|
| 308 |
+
}
|