commit 4b5b6316eb0e049f667d5061cf307a715989b577 Author: ModelHub XC Date: Fri May 22 16:55:12 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: scb10x/llama-3-typhoon-v1.5x-8b-instruct Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..21b3632 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,49 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bin.* filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zstandard filter=lfs diff=lfs merge=lfs -text +*.tfevents* filter=lfs diff=lfs merge=lfs -text +*.db* filter=lfs diff=lfs merge=lfs -text +*.ark* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.gguf* filter=lfs diff=lfs merge=lfs -text +*.ggml filter=lfs diff=lfs merge=lfs -text +*.llamafile* filter=lfs diff=lfs merge=lfs -text +*.pt2 filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text + +tokenizer.json filter=lfs diff=lfs merge=lfs -text \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..1b23759 --- /dev/null +++ b/README.md @@ -0,0 +1,146 @@ +--- +language: +- th +- en +pipeline_tag: text-generation +license: llama3 +--- +**Llama-3-Typhoon-1.5X-8B-instruct: Thai Large Language Model (Instruct)** + +**Llama-3-Typhoon-1.5X-8B-instruct** is an 8 billion parameter instruct model designed for Thai 🇹🇭 language. It demonstrates competitive performance with GPT-3.5-turbo, and is optimized for **application** use cases, **Retrieval-Augmented Generation (RAG), constrained generation**, and **reasoning** tasks. + +Built on Typhoon 1.5 8B and Llama 3 8B Instruct. This model is a result of our experiment on **cross-lingual transfer**. It utilizes the [task-arithmetic model editing](https://arxiv.org/abs/2212.04089) technique, combining the Thai understanding capability of Typhoon with the human alignment performance of Llama 3 Instruct. + +Remark: To acknowledge Meta's efforts in creating the foundation model and comply with the license, we explicitly include "llama-3" in the model name. + +## **Model Description** + +- **Model type**: An 8B instruct decoder-only model based on the Llama architecture. +- **Requirement**: Transformers 4.38.0 or newer. +- **Primary Language(s)**: Thai 🇹🇭 and English 🇬🇧 +- **License**: [**Llama 3 Community License**](https://llama.meta.com/llama3/license/) + +## **Performance** + +We evaluated the model's performance in **Language & Knowledge Capabilities** and **Instruction Following Capabilities**. + +- **Language & Knowledge Capabilities**: + - Assessed using multiple-choice question-answering datasets such as ThaiExam and MMLU. +- **Instruction Following Capabilities**: + - Evaluated based on our beta users' feedback, focusing on two factors: + - **Human Alignment & Reasoning**: Ability to generate responses that are clear and logically structured across multiple steps. + - Evaluated using [MT-Bench](https://arxiv.org/abs/2306.05685) — How LLMs can answer embedded knowledge to align with human needs. + - **Instruction-following**: Ability to adhere to specified constraints in the instruction + - Evaluated using [IFEval](https://arxiv.org/abs/2311.07911) — How LLMs can follow specified constraints, such as formatting and brevity. + +Remark: We developed the TH pair by translating the original datasets into Thai and conducting a human verification on them. + +### ThaiExam + +| Model | ONET | IC | TGAT | TPAT-1 | A-Level | Average (ThaiExam) | MMLU | +| --- | --- | --- | --- | --- | --- | --- | --- | +| Typhoon-1.5 8B | 0.446 | **0.431** | **0.722** | **0.526** | 0.407 | **0.5028** | 0.6136 | +| Typhoon-1.5X 8B | **0.478** | 0.379 | **0.722** | 0.5 | **0.435** | **0.5028** | 0.6369 | +| gpt-3.5-turbo-0125 | 0.358 | 0.279 | 0.678 | 0.345 | 0.318 | 0.3956 | **0.700**** | + +** We report the MMLU score that is reported in GPT-4 Tech Report. + +### MT-Bench + +| Model | MT-Bench Thai | MT-Bench English | +| --- | --- | --- | +| Typhoon-1.5 8B | 6.402 | 7.275 | +| Typhoon-1.5X 8B | **6.902** | 7.9 | +| gpt-3.5-turbo-0125 | 6.186 | **8.181** | + +### IFEval + +| Model | IFEval Thai | IFEval English | +| --- | --- | --- | +| Typhoon-1.5 8B | **0.548** | 0.676 | +| Typhoon-1.5X 8B | **0.548** | **0.691** | +| gpt-3.5-turbo-0125 | 0.479 | 0.659 | + +## Insight + +We utilized **model editing** techniques and found that the most critical feature for generating accurate Thai answers is located in the backend (the upper layers of the transformer block). Accordingly, we incorporated a high ratio of Typhoon components in these backend layers to enhance our model’s performance. + +## **Usage Example** + +```python +from transformers import AutoTokenizer, AutoModelForCausalLM +import torch + +model_id = "scb10x/llama-3-typhoon-v1.5x-8b-instruct" + +tokenizer = AutoTokenizer.from_pretrained(model_id) +model = AutoModelForCausalLM.from_pretrained( + model_id, + torch_dtype=torch.bfloat16, + device_map="auto", +) + +messages = [...] # add message here + +input_ids = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + return_tensors="pt" +).to(model.device) + +terminators = [ + tokenizer.eos_token_id, + tokenizer.convert_tokens_to_ids("<|eot_id|>") +] + +outputs = model.generate( + input_ids, + max_new_tokens=512, + eos_token_id=terminators, + do_sample=True, + temperature=0.4, + top_p=0.95, +) +response = outputs[0][input_ids.shape[-1]:] +print(tokenizer.decode(response, skip_special_tokens=True)) +``` + +## **Chat Template** + +We use the Llama 3 chat template. + +```python +{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %} +``` + +## **Intended Uses & Limitations** + +This model is experimental and might not be fully evaluated for all use cases. Developers should assess risks in the context of their specific applications. + +## **Follow us** + +[**https://twitter.com/opentyphoon**](https://twitter.com/opentyphoon) + +## **Support** + +[**https://discord.gg/us5gAYmrxw**](https://discord.gg/us5gAYmrxw) + +## **SCB 10X Typhoon Team** + +- Kunat Pipatanakul, Potsawee Manakul, Sittipong Sripaisarnmongkol, Natapong Nitarach, Pathomporn Chokchainant, Kasima Tharnpipitchai +- If you find Typhoon-1.5X useful for your work, please cite it using: + +``` +@article{pipatanakul2023typhoon, + title={Typhoon: Thai Large Language Models}, + author={Kunat Pipatanakul and Phatrasek Jirabovonvisut and Potsawee Manakul and Sittipong Sripaisarnmongkol and Ruangsak Patomwong and Pathomporn Chokchainant and Kasima Tharnpipitchai}, + year={2023}, + journal={arXiv preprint arXiv:2312.13951}, + url={https://arxiv.org/abs/2312.13951} +} +``` + +## **Contact Us** + +- General & Collaboration: [**kasima@scb10x.com**](mailto:kasima@scb10x.com), [**pathomporn@scb10x.com**](mailto:pathomporn@scb10x.com) +- Technical: [**kunat@scb10x.com**](mailto:kunat@scb10x.com) \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..8bda9af --- /dev/null +++ b/config.json @@ -0,0 +1 @@ +{"_name_or_path": "./", "architectures": ["LlamaForCausalLM"], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128001, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 8192, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": null, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.38.2", "use_cache": true, "vocab_size": 128256} \ No newline at end of file diff --git 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