From 120e5bab29ed2bcad29757a2fd13c46041524e33 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Thu, 21 May 2026 00:08:15 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: AI-ModelScope/DRT-o1-8B Source: Original Platform --- .gitattributes | 40 + README.md | 184 +++ config.json | 40 + configuration.json | 1 + generation_config.json | 12 + model-00001-of-00004.safetensors | 3 + model-00002-of-00004.safetensors | 3 + model-00003-of-00004.safetensors | 3 + model-00004-of-00004.safetensors | 3 + model.safetensors.index.json | 298 +++++ special_tokens_map.json | 23 + tokenizer.json | 3 + tokenizer_config.json | 2066 ++++++++++++++++++++++++++++++ 13 files changed, 2679 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 config.json create mode 100644 configuration.json create mode 100644 generation_config.json create mode 100644 model-00001-of-00004.safetensors create mode 100644 model-00002-of-00004.safetensors create mode 100644 model-00003-of-00004.safetensors create mode 100644 model-00004-of-00004.safetensors create mode 100644 model.safetensors.index.json create mode 100644 special_tokens_map.json create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..26dfb80 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,40 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt 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 +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz 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 +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl 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 +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* 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 +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip 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 +model-00001-of-00004.safetensors filter=lfs diff=lfs merge=lfs -text +model-00002-of-00004.safetensors filter=lfs diff=lfs merge=lfs -text +model-00003-of-00004.safetensors filter=lfs diff=lfs merge=lfs -text +model-00004-of-00004.safetensors filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..66de03a --- /dev/null +++ b/README.md @@ -0,0 +1,184 @@ +--- +license: cc-by-nc-sa-4.0 +language: +- en +- zh +base_model: +- meta-llama/Llama-3.1-8B-Instruct +tags: +- machine tranlsation +- O1-like model +- Chat +pipeline_tag: text-generation +--- + +# DRT + +

+🤗 DRT-7B   |   🤗 DRT-8B   |   🤗 DRT-14B   |    📑 Paper + +

+ +This repository contains the resources for our paper ["DRT: Deep Reasoning Translation via Long Chain-of-Thought"](https://arxiv.org/abs/2412.17498) + + +If you find this work is useful, please consider cite our paper: +``` +@article{wang2024drt, + title={DRT: Deep Reasoning Translation via Long Chain-of-Thought}, + author={Wang, Jiaan and Meng, Fandong and Liang, Yunlong and Zhou, Jie}, + journal={arXiv preprint arXiv:2412.17498}, + year={2024} +} +``` + +## Quick Links +- [Introduction](#introduction) +- [Models](#models) + - [Model Access](#model-access) + - [Model Performance](#model-performance) + - [Model Prompts](#model-prompts) + - [Quickstart](#quickstart) +- [Translation Cases](#translation-cases) +- [Data](#data) +- [License](#license) + +## Introduction + + +In this work, we introduce DRT, an attempt to bring the success of long thought reasoning to neural machine translation (MT). To this end, +- 🌟 We mine English sentences with similes or metaphors from existing literature books, which are suitable for translation via long thought. +- 🌟 We propose a designed multi-agent framework with three agents (i.e., a translator, an advisor and an evaluator) to synthesize the MT samples with long thought. There are 22,264 synthesized samples in total. +- 🌟 We train DRT-8B, DRT-7B and DRT-14B using Llama-3.1-8B-Instruct, Qwen2.5-7B-Instruct and Qwen2.5-14B-Instruct as backbones. + +> Our goal is not to achieve competitive performance with OpenAI’s O1 in neural machine translation (MT). Instead, we explore technical routes to bring the success of long thought to MT. To this end, we introduce DRT, *a byproduct of our exploration*, and we hope it could facilitate the corresponding research in this direction. + + +## Models + +### Model Access + +| | Backbone | Model Access | +| :--: | :--: | :--: | +| DRT-7B | 🤗 Qwen2.5-7B-Instruct | 🤗 DRT-7B | +| DRT-8B | 🤗 Llama-3.1-8B-Instruct | 🤗 DRT-8B | +| DRT-14B | 🤗 Qwen2.5-14B-Instruct | 🤗 DRT-14B | + +### Model Performance +| | GRF | CometKiwi | GRB | BLEU | CometScore | +| :--: | :--: | :--: | :--: | :--: | :--: | +| Llama-3.1-8B-Instruct | 79.25 | 70.14 | 73.30 | 18.55 | 74.58 | +| Qwen2.5-7B-Instruct | 81.53 | 70.36 | 77.92 | 27.02 | 76.78 | +| Qwen2.5-14B-Instruct | 84.74 | 72.01 | 80.85 | 30.23 | 78.84 | +| Marco-o1-7B | 82.41 | 71.62 | 77.50 | 29.48 | 77.41 | +| QwQ-32B-preview | 86.31 | 71.48 | 83.08 | 27.46 | 78.68 | +| DRT-8B | 84.49 | 70.85 | 80.80 | 32.67 | 78.81 | +| DRT-7B | 85.57 | 71.78 | 82.38 | 35.54 | 80.19 | +| DRT-14B | **87.19** | **72.11** | **83.20** | **36.46** | **80.64** | + + +### Model Prompts +During model inference, please use the following prompts: +- System prompt: `You are a philosopher skilled in deep thinking, accustomed to exploring complex problems with profound insight.` +- User prompt: `Please translate the following text from English to Chinese:\n[An English text]` + +DRT models will first generate the thought and then provide the final translation, with the following format: +``` + +[Reasoning process] + + +[Final translation] + +``` + +### Quickstart +- ⛷️ Huggingface Transformers: + +```python +from transformers import AutoModelForCausalLM, AutoTokenizer + +model_name = "Krystalan/DRT-7B" + +model = AutoModelForCausalLM.from_pretrained( + model_name, + torch_dtype="auto", + device_map="auto" +) +tokenizer = AutoTokenizer.from_pretrained(model_name) + +prompt = "Please translate the following text from English to Chinese:\nThe mother, with her feet propped up on a stool, seemed to be trying to get to the bottom of that answer, whose feminine profundity had struck her all of a heap." +messages = [ + {"role": "system", "content": "You are a philosopher skilled in deep thinking, accustomed to exploring complex problems with profound insight."}, + {"role": "user", "content": prompt} +] +text = tokenizer.apply_chat_template( + messages, + tokenize=False, + add_generation_prompt=True +) +model_inputs = tokenizer([text], return_tensors="pt").to(model.device) + +generated_ids = model.generate( + **model_inputs, + max_new_tokens=2048 +) +generated_ids = [ + output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids) +] + +response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0] +print(response) +``` + +- ⛷️ vllm: + +Deploying LLMs: +```bash +python3 -m vllm.entrypoints.openai.api_server --model [model_ckpt] --served-model-name [model_name] +``` + +Calling LLMs: +```python +from openai import OpenAI +# Set OpenAI's API key and API base to use vLLM's API server. +openai_api_key = "EMPTY" +openai_api_base = "http://localhost:8000/v1" + +client = OpenAI( + api_key=openai_api_key, + base_url=openai_api_base, +) + +chat_response = client.chat.completions.create( + model=[model_name], + messages=[ + {"role": "system", "content": "You are a philosopher skilled in deep thinking, accustomed to exploring complex problems with profound insight."}, + {"role": "user", "content": "Please translate the following text from English to Chinese:\nThe mother, with her feet propped up on a stool, seemed to be trying to get to the bottom of that answer, whose feminine profundity had struck her all of a heap."}, + ], + temperature=0.1, + top_p=0.8, + max_tokens=2048, + extra_body={ + "repetition_penalty": 1.05, + }, +) +print("Chat response:", chat_response) +``` + +## Translation Cases + +| Source Sentence | Qwen2.5-14B-Instruct | QwQ-32B-preview | DRT-14B | +| :--: | :--: | :--: | :--: | +|Women were weeping and children crying, and all were going as fast as seemingly lay in their power, looking behind now and then as if pursued by some deadly enemy. | 妇女在哭泣，孩子们在哀号，所有人都似乎在尽全力快速前行，不时回头张望，仿佛背后有某个致命的敌人在追赶。 | 妇女们哭泣着，孩子们哭喊着，每个人都在尽力加快脚步，不时回头张望，仿佛背后有致命的敌人在追击。 | 妇女悲泣，孩童哀号，众人疾奔，不时回首，仿佛有致命之敌在后紧追。 | +|Wait through this season of the rain Till suns of autumn dry the plain, Then shall thy giant foe, and all His host and realm, before thee fall. | 等待这雨季过去，直到秋日的阳光晒干原野，那时你的巨敌及其部众和王国都将倒在你面前。 | 忍过雨季漫长夜，待秋阳升空，晒干大地湿润色，那时，巨敌垮台，他的军队和王国，全在你脚下。 | 历尽这雨季，待秋日阳光驱散平原上的最后一丝湿润，那时，你那巨敌，连同他的军队与王国，都将匍匐在你脚下。 | +|And if their words had taken another turn...if he himself had been less fastidious about intruding on another man's secrets...it was cruel to think how thin a film had shut out rescue from all this guilt and misery. | 而如果他们的言辞转向了另一个方向……如果他自己对侵扰他人秘密不那么介意……想到正是那层薄薄的隔阂将救援拒之门外，使得这一切的罪恶和痛苦无法避免，真是残酷。 | 而且，假如他们的谈话走向不同……假如他自己不对干涉他人私事如此谨慎……那时他会意识到，只要一层薄薄的屏障就阻隔了救援，使得所有这些罪恶和痛苦无法解脱，这真是残忍。 | 若他们的言辞稍作转变……若他本人不那么介意侵入他人的心扉……想到这层薄薄的隔阂竟将所有内疚与痛苦隔离于救援之外，实为残忍。 | +|This cold officer upon a monument, who dropped epithets unconcernedly down, would be finer as a dead man, he thought. | 他认为，这个站在纪念碑上的冷漠官员，若死了会更好，他不带任何感情地抛下了一些称呼。 | 这个冷冰冰的官员站在纪念碑上，毫不在意地抛下一些称号，他想，如果作为一个死人会更出色。 | 纪念碑上的冷淡官员，漫不经心地吟咏那些修饰语，他心想，若化为亡者，或许更显尊贵。 | + + + +## License +This work is licensed under cc-by-nc-sa-4.0 + + + diff --git a/config.json b/config.json new file mode 100644 index 0000000..a8c7b15 --- /dev/null +++ b/config.json @@ -0,0 +1,40 @@ +{ + "_name_or_path": "DRT-o1-8B", + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 128000, + "eos_token_id": [ + 128001, + 128008, + 128009 + ], + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 4096, + "initializer_range": 0.02, + "intermediate_size": 14336, + "max_position_embeddings": 131072, + "mlp_bias": false, + "model_type": "llama", + "num_attention_heads": 32, + "num_hidden_layers": 32, + "num_key_value_heads": 8, + "pretraining_tp": 1, + "rms_norm_eps": 1e-05, + 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+ "128251": { + "content": "<|reserved_special_token_243|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128252": { + "content": "<|reserved_special_token_244|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128253": { + "content": "<|reserved_special_token_245|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128254": { + "content": "<|reserved_special_token_246|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128255": { + "content": "<|reserved_special_token_247|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "bos_token": "<|begin_of_text|>", + "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- set date_string = \"26 Jul 2024\" %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message + builtin tools #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if builtin_tools is defined or tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{%- if builtin_tools is defined %}\n {{- \"Tools: \" + builtin_tools | reject('equalto', 'code_interpreter') | join(\", \") + \"\\n\\n\"}}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {%- if builtin_tools is defined and tool_call.name in builtin_tools %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- \"<|python_tag|>\" + tool_call.name + \".call(\" }}\n {%- for arg_name, arg_val in tool_call.arguments | items %}\n {{- arg_name + '=\"' + arg_val + '\"' }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor %}\n {{- \")\" }}\n {%- else %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {%- endif %}\n {%- if builtin_tools is defined %}\n {#- This means we're in ipython mode #}\n {{- \"<|eom_id|>\" }}\n {%- else %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n", + "clean_up_tokenization_spaces": true, + "eos_token": "<|eot_id|>", + "extra_special_tokens": {}, + "model_input_names": [ + "input_ids", + "attention_mask" + ], + "model_max_length": 131072, + "pad_token": "<|eot_id|>", + "padding_side": "right", + "split_special_tokens": false, + "tokenizer_class": "PreTrainedTokenizerFast" +}