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Model: scb10x/llama3.2-typhoon2-t1-3b-research-preview Source: Original Platform
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README.md
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---
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library_name: transformers
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license: llama3.2
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base_model: scb10x/llama3.2-typhoon2-3b-instruct
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model-index:
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- name: llama3.2-typhoon2-3b-instruct
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results: []
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language:
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- en
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- th
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datasets:
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- scb10x/typhoon-t1-3b-research-preview-data
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pipeline_tag: text-generation
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---
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# Typhoon T1 3B (Research Preview)
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**Typhoon T1 3B (Research Preview)** is the first in a new family of open reasoning model "**Typhoon T**". Reasoning model is a novel type of model that think longer before giving a final answer.
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Typhoon T1 3B (Research Preview) is built on top of [Typhoon 2 3B Instruct](https://huggingface.co/scb10x/llama3.2-typhoon2-3b-instruct). It has improved performance on challenging benchmarks like GPQA, MMLU Pro, and AI Mathematics Olympiad validation set.
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> [!NOTE]
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> 🚀
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> **2025-02-01 Update**: We have released a new version of Typhoon T1 3B (Research Preview) with the ability to 🇹🇭 *generate Thai reasoning traces*, improved *Thai performance in general*, and *enhanced instruction following*. This version has the a comparative level of English performance to `v2025-01-23`.
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## Key Points
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- **Typhoon T1** is a new family of open reasoning models developed by SCB 10X
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- **Typhoon T1 3B (Research Preview)**, the *first* in the **Typhoon T** family, shows improved performance across **challenging benchmarks** compared to the original Typhoon 2 3B Instruct
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- Typhoon T1 3B (Research Preview) offers a **fast**, **low-compute requirements** model, yet is **capable** in a variety of tasks by scaling test-time compute, enabling the model to think longer before giving a final answer. Typhoon T1 3B (Research Preview) is able to **_reason across domains_**, unlike many open reasoning models limited to mathematics and coding
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- We **open** our recipe for data pipeline and training this model without distilling from other reasoning models
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- We introduce **a new thinking paradigm** for reasoning models, structured thinking, where we add auxiliary tokens to help structure the thinking process of the model. This approach shows an increase in performance over a common variant of separating only thought and response parts based on our experiments
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- Typhoon T1 3B (Research Preview) `v2025-02-01` is the first reasoning model where we intentionally equipped the model with the ability to **generate Thai reasoning traces**, improving *transparency* and *interpretability* of the model.
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For more technical details, please visit our [technical blog](https://blog.opentyphoon.ai/introducing-typhoon-t1-a-family-of-open-reasoning-models-research-preview-22daacc88662).
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* 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.
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## Performance
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| Model name | GSM8K (↑), 8-shot | HumanEval+ (↑), Pass@10 | GPQA (↑), 0CoT | AIME (↑) |
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|-----------------------|-------------------|-------------------------|----------------|----------|
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| Typhoon 2 3B Instruct | 56.63 | 66 | 27.01 | 0 |
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| Typhoon T1 3B (semi) | 59.59 | 68.99 | 25.89 | 0 |
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| **Typhoon T1 3B (Research Preview)** v2025-01-23 | **62.40** | **69.87** | **31.7** | **2.22** |
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### MMLU Pro (↑), 5-shot
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| Model name | Average | Math | Health | Physics | Business | Biology | Chemistry | Computer Science | Economics | Engineering | Philosophy | Other | History | Psychology | Law |
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|-----------------------|-----------|-----------|-----------|----------|-----------|-----------|-----------|------------------|-----------|-------------|------------|-----------|-----------|------------|-----------|
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| Typhoon 2 3B Instruct | 26.7 | 26.8 | 33.62 | 23.4 | 25.35 | 43.38 | 19.88 | 28.29 | 35.43 | 18.37 | 28.06 | 27.92 | 25.72 | 37.84 | 13.17 |
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| **Typhoon T1 3B (Research Preview)** v2025-01-23 | **30.65** | **30.57** | **36.19** | **27.1** | **31.69** | **50.77** | **22.17** | **31.22** | **38.86** | **21.98** | **30.66** | **32.79** | **26.51** | **43.36** | **17.26** |
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## Model description
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- **Model type**: A 3B instruct decoder-only model based on Llama architecture.
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- **Requirement**: `transformers` 4.46.1 or newer.
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- **Primary Language(s)**: English 🇬🇧 and Thai 🇹🇭
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- **License**: [Llama 3.2 Community License](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/LICENSE)
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## Usage Examples
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⚠️ Please note that `max_new_tokens` should be at least `512`, but is recommended at a minimum of `1,024` to provide space for complete generation.
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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model_id = "scb10x/llama-3.2-typhoon-t1-3b-research-preview"
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revision = "main" # To use the previous version comment this line
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# revision = "v2025-01-23" # To use the previous version uncomment this line
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tokenizer = AutoTokenizer.from_pretrained(model_id, revision=revision)
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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torch_dtype=torch.bfloat16,
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device_map="auto",
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revision=revision
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)
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messages = [
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{"role": "user", "content": "หากแปลคำว่า \"ไต้ฝุ่น\" เป็นภาษาอังกฤษ ในคำที่ถูกแปลแล้วจะมีตัวอักษร \"o\" ทั้งหมดกี่ตัว"},
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]
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input_ids = tokenizer.apply_chat_template(
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messages,
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add_generation_prompt=True,
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return_tensors="pt"
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).to(model.device)
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terminators = [
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tokenizer.eos_token_id,
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tokenizer.convert_tokens_to_ids("<|eot_id|>")
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]
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outputs = model.generate(
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input_ids,
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max_new_tokens=1024,
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eos_token_id=terminators,
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do_sample=False,
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temperature=0.0,
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top_p=0.9,
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)
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response = outputs[0][input_ids.shape[-1]:]
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print(tokenizer.decode(response, skip_special_tokens=True))
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```
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### OpenAI API-compatible Server with vLLM
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```bash
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pip install vllm
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vllm serve scb10x/llama-3.2-typhoon-t1-3b-research-preview
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# To serve the previous version, add the revision parameter as shown below
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# vllm serve scb10x/llama-3.2-typhoon-t1-3b-research-preview --revision v2025-01-23
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# see more information at https://docs.vllm.ai/
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```
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## Intended uses & limitations
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While we made an effort to make our model safe, like all generative models, it may generate unsafe content in rare cases. Introducing a reasoning model paradigm may introduce some unforeseen behaviors, as model safety in the reasoning domain is a relatively new and ongoing area of research.
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## Follow Us
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[https://twitter.com/opentyphoon](https://twitter.com/opentyphoon)
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## Support
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[https://discord.gg/us5gAYmrxw](https://discord.gg/us5gAYmrxw)
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## Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 6
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 6
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- total_train_batch_size: 288
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- total_eval_batch_size: 8
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- num_epochs: 2.0
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## Citation
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```
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@misc{taveekitworachai2025typhoont1openthai,
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title={Typhoon T1: An Open Thai Reasoning Model},
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author={Pittawat Taveekitworachai and Potsawee Manakul and Kasima Tharnpipitchai and Kunat Pipatanakul},
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year={2025},
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eprint={2502.09042},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2502.09042},
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}
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```
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config.json
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{
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"_name_or_path": "scb10x/llama3.2-typhoon2-3b-instruct",
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"architectures": [
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"LlamaForCausalLM"
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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": 128000,
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"eos_token_id": 128009,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 3072,
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"initializer_range": 0.02,
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"intermediate_size": 8192,
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"max_position_embeddings": 131072,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 24,
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"num_hidden_layers": 28,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 32.0,
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"high_freq_factor": 4.0,
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"low_freq_factor": 1.0,
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"original_max_position_embeddings": 8192,
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"rope_type": "llama3"
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},
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"rope_theta": 500000.0,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.46.1",
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"use_cache": false,
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"vocab_size": 128256
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}
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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"gamma": 1.0,
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"kl_temperature": 1.0,
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"temperature": 0.4,
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"top_p": 0.95,
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"transformers_version": "4.46.1"
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"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.norm.weight": "model-00002-of-00002.safetensors"
|
||||
}
|
||||
}
|
||||
39
special_tokens_map.json
Normal file
39
special_tokens_map.json
Normal file
@@ -0,0 +1,39 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
{
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
{
|
||||
"content": "<|eom_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
],
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
2069
tokenizer_config.json
Normal file
2069
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user