Text Ranking
sentence-transformers
Safetensors
Korean
English
qwen3
cross-encoder
reranker
korean
english
Instructions to use nlpai-lab/KURE-Reranker-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use nlpai-lab/KURE-Reranker-base with sentence-transformers:
from sentence_transformers import CrossEncoder model = CrossEncoder("nlpai-lab/KURE-Reranker-base") query = "Which planet is known as the Red Planet?" passages = [ "Venus is often called Earth's twin because of its similar size and proximity.", "Mars, known for its reddish appearance, is often referred to as the Red Planet.", "Jupiter, the largest planet in our solar system, has a prominent red spot.", "Saturn, famous for its rings, is sometimes mistaken for the Red Planet." ] scores = model.predict([(query, passage) for passage in passages]) print(scores) - Notebooks
- Google Colab
- Kaggle
Add new CrossEncoder model
Browse files- .gitattributes +1 -0
- 1_LogitScore/config.json +5 -0
- README.md +0 -0
- chat_template.jinja +15 -0
- config.json +63 -0
- config_sentence_transformers.json +11 -0
- generation_config.json +13 -0
- model.safetensors +3 -0
- modules.json +14 -0
- sentence_bert_config.json +15 -0
- tokenizer.json +3 -0
- tokenizer_config.json +37 -0
.gitattributes
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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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1_LogitScore/config.json
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{
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"true_token_id": 9693,
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"false_token_id": 2152,
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"module_input_name": "causal_logits"
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}
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README.md
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chat_template.jinja
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{%- set instruction = messages | selectattr("role", "eq", "system") | map(attribute="content") | first | default("Given a web search query, retrieve relevant passages that answer the query") -%}
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{%- set query_text = messages | selectattr("role", "eq", "query") | map(attribute="content") | first -%}
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{%- set document_text = messages | selectattr("role", "eq", "document") | map(attribute="content") | first -%}
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<|im_start|>system
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Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be "yes" or "no".<|im_end|>
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<|im_start|>user
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<Instruct>: {{ instruction }}
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<Query>: {{ query_text }}
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<Document>: {{ document_text }}<|im_end|>
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<|im_start|>assistant
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<think>
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</think>
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config.json
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{
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"architectures": [
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"Qwen3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": null,
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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 6144,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 40960,
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"max_window_layers": 28,
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"model_type": "qwen3",
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"num_attention_heads": 16,
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| 49 |
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"num_hidden_layers": 28,
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"num_key_value_heads": 8,
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"pad_token_id": 151643,
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| 52 |
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 1000000,
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"rope_type": "default"
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},
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"sliding_window": null,
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| 58 |
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"tie_word_embeddings": true,
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"transformers_version": "5.14.1",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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config_sentence_transformers.json
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{
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"__version__": {
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"pytorch": "2.8.0+cu128",
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"sentence_transformers": "5.6.1",
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"transformers": "5.14.1"
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},
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"activation_fn": "torch.nn.modules.linear.Identity",
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| 8 |
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"default_prompt_name": null,
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"model_type": "CrossEncoder",
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"prompts": {}
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}
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generation_config.json
ADDED
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@@ -0,0 +1,13 @@
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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],
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"pad_token_id": 151643,
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"temperature": 0.6,
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"top_k": 20,
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"top_p": 0.95,
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"transformers_version": "5.14.1"
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}
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model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:b191678cbb9bf27a7f71e31bd3a2f7d7778dcc2a695843c91e88f341bf114f1b
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size 3441185608
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modules.json
ADDED
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[
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{
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"idx": 0,
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"name": "0",
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"path": "",
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"type": "sentence_transformers.base.modules.transformer.Transformer"
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},
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{
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"idx": 1,
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"name": "1",
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| 11 |
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"path": "1_LogitScore",
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"type": "sentence_transformers.cross_encoder.modules.logit_score.LogitScore"
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}
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]
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sentence_bert_config.json
ADDED
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@@ -0,0 +1,15 @@
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{
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"transformer_task": "text-generation",
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"modality_config": {
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| 4 |
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"text": {
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| 5 |
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"method": "forward",
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| 6 |
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"method_output_name": "logits"
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| 7 |
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},
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| 8 |
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"message": {
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| 9 |
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"method": "forward",
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| 10 |
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"method_output_name": "logits",
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| 11 |
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"format": "flat"
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| 12 |
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}
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| 13 |
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},
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| 14 |
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"module_output_name": "causal_logits"
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| 15 |
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}
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tokenizer.json
ADDED
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version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1619cbc078b7158bdb0d0e5d2aec281c9ae03bf1852112173f4721c4fc962e5e
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| 3 |
+
size 11422916
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tokenizer_config.json
ADDED
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{
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"add_prefix_space": false,
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| 3 |
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"backend": "tokenizers",
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| 4 |
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"bos_token": null,
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| 5 |
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"clean_up_tokenization_spaces": false,
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| 6 |
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"eos_token": "<|im_end|>",
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| 7 |
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"errors": "replace",
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| 8 |
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"extra_special_tokens": [
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| 9 |
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"<|im_start|>",
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| 10 |
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"<|im_end|>",
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| 11 |
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"<|object_ref_start|>",
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| 12 |
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"<|object_ref_end|>",
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| 13 |
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"<|box_start|>",
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| 14 |
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"<|box_end|>",
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| 15 |
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"<|quad_start|>",
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| 16 |
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"<|quad_end|>",
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| 17 |
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"<|vision_start|>",
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| 18 |
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"<|vision_end|>",
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| 19 |
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"<|vision_pad|>",
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| 20 |
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"<|image_pad|>",
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| 21 |
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"<|video_pad|>"
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| 22 |
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],
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| 23 |
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"is_local": true,
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| 24 |
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"local_files_only": false,
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| 25 |
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"max_length": 8192,
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| 26 |
+
"model_max_length": 8192,
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| 27 |
+
"pad_to_multiple_of": null,
|
| 28 |
+
"pad_token": "<|endoftext|>",
|
| 29 |
+
"pad_token_type_id": 0,
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| 30 |
+
"padding_side": "left",
|
| 31 |
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"split_special_tokens": false,
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| 32 |
+
"stride": 0,
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| 33 |
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"tokenizer_class": "Qwen2Tokenizer",
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| 34 |
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"truncation_side": "right",
|
| 35 |
+
"truncation_strategy": "longest_first",
|
| 36 |
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"unk_token": null
|
| 37 |
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}
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