初始化项目，由ModelHub XC社区提供模型
Model: laihuiyuan/mCoT Source: Original Platform
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README.md
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---
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license: apache-2.0
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language:
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- sw
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- bn
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- te
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- th
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- ja
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- zh
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- ru
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- es
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- fr
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- de
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- en
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tags:
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- text-generation
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datasets:
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- laihuiyuan/mCoT-MATH
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base_model:
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- mistralai/Mistral-7B-v0.1
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---
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# mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language Models
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Paper: https://arxiv.org/abs/2406.02301
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Code: https://github.com/laihuiyuan/mCoT
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Dataset: https://huggingface.co/datasets/laihuiyuan/mCoT-MATH
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### Introduction
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We introduce mCoT, a 7B parameter model for multilingual math reasoning that achieves impressive multilingual reasoning consistency across multiple languages.
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Based on [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1), mCoT is trained on [mCoT-MATH](https://huggingface.co/datasets/laihuiyuan/mCoT-MATH), the first large-scale multilingual math CoT reasoning dataset containing around 6.3 million samples for 11 diverse languages.
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### Results on [MGSM](https://arxiv.org/abs/2210.03057v1)
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| Language | SW | BN | TE | TH | JA | ZH | RU | ES | FR | DE | EN |
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|:-----------------------|:-----|:-----|:-----|:-----|:-----|:-----|:-----|:-----|:-----|:-----|:-----|
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| GPT-3 few-shot | 11.2 | 6.4 | 0.4 | 0.8 | 26.0 | 40.0 | 28.4 | 40.4 | 37.6 | 36.0 | 53.6 |
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| GPT-3.5-En 2-shot | 40.0 | 7.6 | - | 15.6 | 46.8 | 52.8 | 50.4 | 61.2 | 59.2 | 62.0 | 67.2 |
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| GPT4-En 2-shot | 64.4 | 17.6 | - | 40.4 | 71.6 | 70.0 | 64.0 | 71.2 | 72.0 | 73.6 | 80.0 |
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| PaLM-540B few-shot | 35.2 | 46.0 | 45.6 | 52.8 | 40.0 | 46.8 | 48.4 | 56.8 | 46.4 | 49.2 | 62.4 |
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| WizardMath-7B | 3.4 | 2.0 | - | 4.0 | 24.0 | 22.4 | 30.8 | 34.8 | 30.4 | 30.4 | 47.6 |
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| MathOctopus-7B | 38.4 | 33.2 | - | 36.4 | 35.6 | 45.2 | 48.4 | 45.2 | 38.0 | 43.6 | 54.8 |
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| MathOctopus-Mistral-7B | 51.6 | 44.0 | - | 48.8 | 48.0 | 51.6 | 49.6 | 53.2 | 47.2 | 50.0 | 58.4 |
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| xCoT-7B | 48.4 | 40.4 | 42.8 | 49.2 | 50.0 | 50.0 | 50.0 | 48.8 | 49.6 | 47.2 | 48.4 |
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| WizardMath-13B | 5.6 | 6.4 | - | 5.6 | 22.0 | 28.0 | 34.4 | 45.6 | 42.0 | 40.4 | 52.8 |
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| MathOctopus-13B | 46.0 | 42.0 | - | 46.0 | 39.6 | 51.2 | 47.6 | 53.2 | 49.6 | 49.2 | 51.6 |
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| xCoT-13B | 51.6 | 50.0 | 47.2 | 50.0 | 49.6 | 54.0 | 56.8 | 54.8 | 46.4 | 52.4 | 54.4 |
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| mCoT-7B | 67.2 | 65.6 | 62.4 | 67.6 | 65.2 | 64.8 | 66.8 | 68.4 | 63.8 | 61.2 | 71.6 |
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### Results on [MSVAMP](https://arxiv.org/abs/2310.20246)
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| Language | SW | BN | TH | JA | ZH | RU | ES | FR | DE | EN | AVG |
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|:-----------------------|:-----|:-----|:-----|:-----|:-----|:-----|:-----|:-----|:-----|:-----|:-----|
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| GPT-3.5-En zero-shot | 63.2 | 3.1 | 24.4 | 63.3 | 72.4 | 62.3 | 69.5 | 71.9 | 66.7 | 76.1 | 57.3 |
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| GPT-3.5-En 2-shot | 68.4 | 14.4 | 46.0 | 74.0 | 78.4 | 70.9 | 74.6 | 78.2 | 73.9 | 81.2 | 66.0 |
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| GPT4-En 2-shot | 75.7 | 31.2 | 68.1 | 74.8 | 78.9 | 77.9 | 81.5 | 83.9 | 78.1 | 80.1 | 73.0 |
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| PaLM-540B few-shot | 35.2 | 46.0 | 45.6 | 52.8 | 40.0 | 46.8 | 48.4 | 56.8 | 46.4 | 49.2 | 62.4 |
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| WizardMath-7B | 10.3 | 16.1 | 6.3 | 26.7 | 26.8 | 33.7 | 42.9 | 39.9 | 39.6 | 45.1 | 27.0 |
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| MathOctopus-7B | 42.3 | 32.8 | 40.5 | 43.2 | 43.2 | 42.1 | 44.5 | 45.3 | 43.1 | 46.8 | 42.4 |
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| MathOctopus-Mistral-7B | 41.2 | 36.7 | 40.2 | 41.5 | 43.1 | 44.0 | 47.0 | 49.0 | 46.4 | 49.7 | 43.9 |
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| WizardMath-13B | 12.5 | 13.7 | 16.3 | 29.5 | 37.0 | 43.8 | 50.4 | 49.4 | 48.7 | 56.3 | 35.8 |
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| MathOctopus-13B | 43.4 | 34.2 | 39.5 | 43.1 | 46.4 | 48.2 | 48.2 | 49.9 | 47.7 | 44.6 | 44.5 |
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| mCoT-7B | 55.0 | 53.7 | 56.4 | 58.8 | 58.2 | 58.1 | 58.9 | 58.8 | 61.1 | 58.3 | 57.7 |
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### Prompt Template
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```bash
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# Template
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template = "Question: \n{question} \nAnswer: \n{language}\n"
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# Language prompt
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bn = "আসুন ধাপে ধাপে চিন্তা করি।"
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de = "Denken wir Schritt für Schritt."
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en = "Let's think step by step."
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es = "Pensemos paso a paso."
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fr = "Réfléchissons étape par étape."
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ja = "段階的に考えてみましょう。"
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ru = "Давайте думать поэтапно."
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sw = "Hebu fikiria hatua kwa hatua."
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te = "అంచెలంచెలుగా ఆలోచిద్దాం."
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th = "ลองคิดทีละขั้นตอน"
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zh = "让我们一步步思考。"
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# Math question
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math_en = "A robe takes 2 bolts of blue fiber and half that much white fiber. How many bolts in total does it take?"
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# An example for the English question
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prompt = template.format(question=math_en, language=en)
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```
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### Citation
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If you use any content from this repository, please cite our paper:
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```
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@inproceedings{lai-etal-2024-mcot,
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title = "mCoT: Multilingual Instruction Tuning for Reasoning Consistency
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in Language Models",
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author = "Lai, Huiyuan and Nissim, Malvina",
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booktitle = "Proceedings of the 62nd Annual Meeting of the Association
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for Computational Linguistics,
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month = aug,
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address = "Bangkok, Thailand",
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year = "2024",
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publisher = "Association for Computational Linguistics"
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}
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```
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config.json
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"MistralForCausalLM"
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.34.0.dev0",
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"use_cache": true,
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"vocab_size": 32000
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}
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"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.norm.weight": "model-00003-of-00003.safetensors"
|
||||
}
|
||||
}
|
||||
5
special_tokens_map.json
Normal file
5
special_tokens_map.json
Normal file
@@ -0,0 +1,5 @@
|
||||
{
|
||||
"bos_token": "<s>",
|
||||
"eos_token": "</s>",
|
||||
"unk_token": "<unk>"
|
||||
}
|
||||
91122
tokenizer.json
Normal file
91122
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
Binary file not shown.
42
tokenizer_config.json
Normal file
42
tokenizer_config.json
Normal file
@@ -0,0 +1,42 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"added_tokens_decoder": {
|
||||
"0": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [],
|
||||
"bos_token": "<s>",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": true,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": null,
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
Reference in New Issue
Block a user