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Model: scb10x/llama3.2-typhoon2-1b
Source: Original Platform

.gitattributes

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README.md

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+---
+license: llama3.2
+pipeline_tag: text-generation
+---
+
+**Llama3.2-Typhoon2-1B**: Thai Large Language Model (Instruct)
+
+**Llama3.2-Typhoon2-1B** is a pretrained only Thai 🇹🇭 large language model with 1 billion parameters, and it is based on Llama3.2-1B.
+
+For technical-report. please see our [arxiv](https://arxiv.org/abs/2412.13702).
+*To acknowledge Meta's effort in creating the foundation model and to comply with the license, we explicitly include "llama-3.2" in the model name.
+
+## **Performance**
+
+| Model                 | ThaiExam  | ONET     | IC        | A-Level   | TGAT      | TPAT      | M3Exam    | Math       | Science    | Social     | Thai       |
+|------------------------|-----------|----------|-----------|-----------|-----------|-----------|-----------|------------|------------|------------|------------|
+| **Typhoon2 Llama3.2 1B Base**   | **26.83%** | **19.75%** | 16.84%    | 17.32%    | **49.23%** | **31.03%** | **26.10%** | 21.71%     | **25.60%** | **32.83%** | 24.27%     |
+| **Llama3.1 1B**        | 25.38%    | 18.51%   | **20.00%** | **26.77%** | 32.30%    | 29.31%    | 25.30%    | **23.52%** | 25.36%     | 27.48%     | **24.82%** |
+
+
+## **Model Description**
+
+- **Model type**: A 1B decoder-only model based on Llama architecture.
+- **Requirement**: transformers 4.45.0 or newer.
+- **Primary Language(s)**: Thai 🇹🇭 and English 🇬🇧
+- **License**: [Llama 3.2 Community License](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/LICENSE)
+
+
+## **Intended Uses & Limitations**
+
+This model is a pretrained base model. Thus, it may not be able to follow human instructions without using one/few-shot learning or instruction fine-tuning. The model does not have any moderation mechanisms, and may generate harmful or inappropriate responses.
+
+## **Follow us**
+
+**https://twitter.com/opentyphoon**
+
+## **Support**
+
+**https://discord.gg/us5gAYmrxw**
+
+## **Citation**
+
+- If you find Typhoon2 useful for your work, please cite it using:
+```
+@misc{typhoon2,
+      title={Typhoon 2: A Family of Open Text and Multimodal Thai Large Language Models}, 
+      author={Kunat Pipatanakul and Potsawee Manakul and Natapong Nitarach and Warit Sirichotedumrong and Surapon Nonesung and Teetouch Jaknamon and Parinthapat Pengpun and Pittawat Taveekitworachai and Adisai Na-Thalang and Sittipong Sripaisarnmongkol and Krisanapong Jirayoot and Kasima Tharnpipitchai},
+      year={2024},
+      eprint={2412.13702},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2412.13702}, 
+}
+```

config.json

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+{"_name_or_path": "./", "architectures": ["LlamaForCausalLM"], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128009, "head_dim": 64, "hidden_act": "silu", "hidden_size": 2048, "initializer_range": 0.02, "intermediate_size": 8192, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 16, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": {"factor": 32.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3"}, "rope_theta": 500000.0, "tie_word_embeddings": true, "torch_dtype": "bfloat16", "transformers_version": "4.45.1", "use_cache": false, "vocab_size": 128256}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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+{
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "temperature": 0.4,
+  "top_p": 0.9,
+  "transformers_version": "4.45.1"
+}

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
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tokenizer.json

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