Instructions to use IndexErrorThe/uni-mumer-3b-mlx-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use IndexErrorThe/uni-mumer-3b-mlx-8bit with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("IndexErrorThe/uni-mumer-3b-mlx-8bit") config = load_config("IndexErrorThe/uni-mumer-3b-mlx-8bit") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +7 -0
- added_tokens.json +24 -0
- chat_template.jinja +7 -0
- chat_template.json +3 -0
- config.json +91 -0
- generation_config.json +12 -0
- model.safetensors +3 -0
- model.safetensors.index.json +0 -0
- preprocessor_config.json +29 -0
- processor_config.json +50 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +17 -0
- vocab.json +0 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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language: en
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library_name: mlx
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pipeline_tag: image-text-to-text
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tags:
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- mlx
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---
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added_tokens.json
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{
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"</tool_call>": 151658,
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"<tool_call>": 151657,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
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"<|repo_name|>": 151663,
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"<|video_pad|>": 151656,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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chat_template.jinja
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{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system
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You are a helpful assistant.<|im_end|>
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{% endif %}<|im_start|>{{ message['role'] }}
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{% if message['content'] is string %}{{ message['content'] }}<|im_end|>
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{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>
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{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant
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{% endif %}
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chat_template.json
ADDED
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{
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"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
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}
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config.json
ADDED
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@@ -0,0 +1,91 @@
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{
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"architectures": [
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"Qwen2_5_VLForConditionalGeneration"
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],
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| 5 |
+
"attention_dropout": 0.0,
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| 6 |
+
"bos_token_id": 151643,
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| 7 |
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"do_sample": true,
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| 8 |
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"eos_token_id": [
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151645,
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151643
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| 11 |
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],
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| 12 |
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"generation_config": {
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| 13 |
+
"bos_token_id": 151643,
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| 14 |
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"do_sample": true,
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| 15 |
+
"eos_token_id": [
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| 16 |
+
151645,
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| 17 |
+
151643
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| 18 |
+
],
|
| 19 |
+
"pad_token_id": 151643,
|
| 20 |
+
"repetition_penalty": 1.05,
|
| 21 |
+
"temperature": 1e-06,
|
| 22 |
+
"transformers_version": "4.51.3"
|
| 23 |
+
},
|
| 24 |
+
"hidden_act": "silu",
|
| 25 |
+
"hidden_size": 2048,
|
| 26 |
+
"image_token_id": 151655,
|
| 27 |
+
"initializer_range": 0.02,
|
| 28 |
+
"intermediate_size": 11008,
|
| 29 |
+
"max_position_embeddings": 128000,
|
| 30 |
+
"max_window_layers": 70,
|
| 31 |
+
"model_type": "qwen2_5_vl",
|
| 32 |
+
"num_attention_heads": 16,
|
| 33 |
+
"num_hidden_layers": 36,
|
| 34 |
+
"num_key_value_heads": 2,
|
| 35 |
+
"quantization": {
|
| 36 |
+
"group_size": 64,
|
| 37 |
+
"bits": 8,
|
| 38 |
+
"mode": "affine"
|
| 39 |
+
},
|
| 40 |
+
"quantization_config": {
|
| 41 |
+
"group_size": 64,
|
| 42 |
+
"bits": 8,
|
| 43 |
+
"mode": "affine"
|
| 44 |
+
},
|
| 45 |
+
"rms_norm_eps": 1e-06,
|
| 46 |
+
"rope_scaling": {
|
| 47 |
+
"mrope_section": [
|
| 48 |
+
16,
|
| 49 |
+
24,
|
| 50 |
+
24
|
| 51 |
+
],
|
| 52 |
+
"rope_type": "default",
|
| 53 |
+
"type": "default"
|
| 54 |
+
},
|
| 55 |
+
"rope_theta": 1000000.0,
|
| 56 |
+
"sliding_window": 32768,
|
| 57 |
+
"temperature": 1e-06,
|
| 58 |
+
"tie_word_embeddings": true,
|
| 59 |
+
"transformers_version": "4.51.3",
|
| 60 |
+
"use_cache": false,
|
| 61 |
+
"use_sliding_window": false,
|
| 62 |
+
"video_token_id": 151656,
|
| 63 |
+
"vision_config": {
|
| 64 |
+
"depth": 32,
|
| 65 |
+
"fullatt_block_indexes": [
|
| 66 |
+
7,
|
| 67 |
+
15,
|
| 68 |
+
23,
|
| 69 |
+
31
|
| 70 |
+
],
|
| 71 |
+
"hidden_act": "silu",
|
| 72 |
+
"hidden_size": 1280,
|
| 73 |
+
"in_channels": 3,
|
| 74 |
+
"in_chans": 3,
|
| 75 |
+
"intermediate_size": 3420,
|
| 76 |
+
"model_type": "qwen2_5_vl",
|
| 77 |
+
"num_heads": 16,
|
| 78 |
+
"out_hidden_size": 2048,
|
| 79 |
+
"patch_size": 14,
|
| 80 |
+
"spatial_merge_size": 2,
|
| 81 |
+
"spatial_patch_size": 14,
|
| 82 |
+
"temporal_patch_size": 2,
|
| 83 |
+
"tokens_per_second": 2,
|
| 84 |
+
"torch_dtype": "bfloat16",
|
| 85 |
+
"window_size": 112
|
| 86 |
+
},
|
| 87 |
+
"vision_end_token_id": 151653,
|
| 88 |
+
"vision_start_token_id": 151652,
|
| 89 |
+
"vision_token_id": 151654,
|
| 90 |
+
"vocab_size": 151936
|
| 91 |
+
}
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generation_config.json
ADDED
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{
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| 2 |
+
"bos_token_id": 151643,
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| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
151645,
|
| 6 |
+
151643
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 151643,
|
| 9 |
+
"repetition_penalty": 1.05,
|
| 10 |
+
"temperature": 1e-06,
|
| 11 |
+
"transformers_version": "4.51.3"
|
| 12 |
+
}
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model.safetensors
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:8aed2231ca8f75f267060fa11b7f7a6bc7196fc4336446807b05db24b6b88a13
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| 3 |
+
size 4616570154
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model.safetensors.index.json
ADDED
|
The diff for this file is too large to render.
See raw diff
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preprocessor_config.json
ADDED
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@@ -0,0 +1,29 @@
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{
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| 2 |
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"do_convert_rgb": true,
|
| 3 |
+
"do_normalize": true,
|
| 4 |
+
"do_rescale": true,
|
| 5 |
+
"do_resize": true,
|
| 6 |
+
"image_mean": [
|
| 7 |
+
0.48145466,
|
| 8 |
+
0.4578275,
|
| 9 |
+
0.40821073
|
| 10 |
+
],
|
| 11 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
| 12 |
+
"image_std": [
|
| 13 |
+
0.26862954,
|
| 14 |
+
0.26130258,
|
| 15 |
+
0.27577711
|
| 16 |
+
],
|
| 17 |
+
"max_pixels": 12845056,
|
| 18 |
+
"merge_size": 2,
|
| 19 |
+
"min_pixels": 3136,
|
| 20 |
+
"patch_size": 14,
|
| 21 |
+
"processor_class": "Qwen2_5_VLProcessor",
|
| 22 |
+
"resample": 3,
|
| 23 |
+
"rescale_factor": 0.00392156862745098,
|
| 24 |
+
"size": {
|
| 25 |
+
"longest_edge": 12845056,
|
| 26 |
+
"shortest_edge": 3136
|
| 27 |
+
},
|
| 28 |
+
"temporal_patch_size": 2
|
| 29 |
+
}
|
processor_config.json
ADDED
|
@@ -0,0 +1,50 @@
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| 1 |
+
{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"do_convert_rgb": true,
|
| 4 |
+
"do_normalize": true,
|
| 5 |
+
"do_rescale": true,
|
| 6 |
+
"image_mean": [
|
| 7 |
+
0.48145466,
|
| 8 |
+
0.4578275,
|
| 9 |
+
0.40821073
|
| 10 |
+
],
|
| 11 |
+
"image_processor_type": "Qwen3VLImageProcessor",
|
| 12 |
+
"image_std": [
|
| 13 |
+
0.26862954,
|
| 14 |
+
0.26130258,
|
| 15 |
+
0.27577711
|
| 16 |
+
],
|
| 17 |
+
"max_pixels": 12845056,
|
| 18 |
+
"merge_size": 2,
|
| 19 |
+
"min_pixels": 3136,
|
| 20 |
+
"patch_size": 14,
|
| 21 |
+
"rescale_factor": 0.00392156862745098,
|
| 22 |
+
"temporal_patch_size": 2
|
| 23 |
+
},
|
| 24 |
+
"processor_class": "Qwen2_5_VLProcessor",
|
| 25 |
+
"video_processor": {
|
| 26 |
+
"do_convert_rgb": true,
|
| 27 |
+
"do_normalize": true,
|
| 28 |
+
"do_rescale": true,
|
| 29 |
+
"fps": 2.0,
|
| 30 |
+
"image_mean": [
|
| 31 |
+
0.48145466,
|
| 32 |
+
0.4578275,
|
| 33 |
+
0.40821073
|
| 34 |
+
],
|
| 35 |
+
"image_std": [
|
| 36 |
+
0.26862954,
|
| 37 |
+
0.26130258,
|
| 38 |
+
0.27577711
|
| 39 |
+
],
|
| 40 |
+
"max_frames": 768,
|
| 41 |
+
"max_pixels": 12845056,
|
| 42 |
+
"merge_size": 2,
|
| 43 |
+
"min_frames": 4,
|
| 44 |
+
"min_pixels": 3136,
|
| 45 |
+
"patch_size": 14,
|
| 46 |
+
"rescale_factor": 0.00392156862745098,
|
| 47 |
+
"temporal_patch_size": 2,
|
| 48 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 49 |
+
}
|
| 50 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
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|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
|
| 3 |
+
size 11421892
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"is_local": true,
|
| 9 |
+
"local_files_only": false,
|
| 10 |
+
"model_max_length": 131072,
|
| 11 |
+
"pad_token": "<|endoftext|>",
|
| 12 |
+
"padding_side": "right",
|
| 13 |
+
"processor_class": "Qwen2_5_VLProcessor",
|
| 14 |
+
"split_special_tokens": false,
|
| 15 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 16 |
+
"unk_token": null
|
| 17 |
+
}
|
vocab.json
ADDED
|
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|
|
|