From 474eadc1fcab42139803bf4f93e60aac0b83d3e1 Mon Sep 17 00:00:00 2001
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Date: Wed, 20 May 2026 22:44:12 +0800
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Model: trillionlabs/Tri-7B-Base
Source: Original Platform
---
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diff --git a/.gitattributes b/.gitattributes
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diff --git a/README.md b/README.md
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+---
+license: apache-2.0
+tags:
+- pretrained
+- base-model
+language:
+- en
+- ko
+- ja
+pipeline_tag: text-generation
+library_name: transformers
+extra_gated_fields:
+  Full Name: text
+  Email: text
+  Organization: text
+---
+
+<p align="center">
+<picture>
+  <img src="https://raw.githubusercontent.com/trillion-labs/.github/main/Tri-7B.png" alt="Tri-7B-Base", style="width: 80%;">
+</picture>
+</p>
+
+# Tri-7B-Base
+
+## Introduction
+
+We present **Tri-7B-Base**, a foundation language model that serves as the pre-trained base for our Tri-7B model family. This model represents our commitment to efficient training while establishing a strong foundation for downstream fine-tuning and adaptation.
+
+### Key Features
+* **Foundation Architecture**: State-of-the-art transformer architecture optimized for efficiency
+* **Multi-lingual Foundation**: Pre-trained on diverse data in Korean, English, and Japanese
+* **Efficient Training**: Optimized training methodology for computational efficiency
+
+### Model Specifications
+
+#### Tri-7B-Base
+- Type: Causal Language Model
+- Training Stage: Pre-training
+- Architecture: Transformer Decoder with RoPE, SwiGLU, RMSNorm
+- Number of Parameters: 7.76B
+- Number of Layers: 32
+- Number of Attention Heads: 32
+- Context Length: 4,096
+- Vocab Size: 128,128
+
+## Use Cases
+
+As a base model, Tri-7B-Base is designed to serve as a foundation for various downstream applications:
+
+- **Fine-tuning**: Adapt to specific domains or tasks
+- **Instruction Tuning**: Create chat or assistant models
+- **Domain Specialization**: Customize for specific industries or use cases
+- **Research**: Explore model behaviors and capabilities
+- **Language Generation**: General text completion and generation tasks
+
+## Limitations
+
+- **Base Model Nature**: This is a pre-trained base model without instruction tuning or alignment. For chat or assistant capabilities, consider fine-tuned variants.
+- **Language Support**: The model is optimized for English, Korean, and Japanese. Usage with other languages may result in degraded performance.
+- **Knowledge Cutoff**: The model's information is limited to data available up to February, 2025.
+- **Generation Quality**: As a base model, outputs may require post-processing or filtering for production use cases.
+
+## License
+This model is licensed under the Apache License 2.0.
+
+## Contact
+For inquiries, please contact: info@trillionlabs.co
\ No newline at end of file
diff --git a/config.json b/config.json
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+{
+  "_name_or_path": "/mnt/vast/juyoung.suk/alignment-handbook/checkpoints/jasmine_v3.1_extended",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "eos_token_id": 128001,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 4096,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 100000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.49.0",
+  "use_cache": true,
+  "vocab_size": 128128
+}
diff --git a/configuration.json b/configuration.json
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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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+  "eos_token_id": 128001,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.49.0"
+}
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diff --git a/special_tokens_map.json b/special_tokens_map.json
new file mode 100644
index 0000000..bf6367f
--- /dev/null
+++ b/special_tokens_map.json
@@ -0,0 +1,153 @@
+{
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+  "bos_token": "<|endoftext|>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "extra_special_tokens": {},
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<|pad|>",
+  "tokenizer_class": "PreTrainedTokenizer",
+  "unk_token": "<|endoftext|>"
+}