From 07287709391b6beaa0901a5d243a04098c545147 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Sun, 23 Aug 2026 13:53:16 +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: igmoiiz/ResearchMate-Qwen2.5-3B Source: Original Platform --- .gitattributes | 36 +++ README.md | 422 +++++++++++++++++++++++++++++ chat_template.jinja | 54 ++++ config.json | 70 +++++ generation_config.json | 14 + model-00001-of-00002.safetensors | 3 + model-00002-of-00002.safetensors | 3 + model.safetensors.index.json | 441 +++++++++++++++++++++++++++++++ tokenizer.json | 3 + tokenizer_config.json | 193 ++++++++++++++ 10 files changed, 1239 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 chat_template.jinja create mode 100644 config.json create mode 100644 generation_config.json create mode 100644 model-00001-of-00002.safetensors create mode 100644 model-00002-of-00002.safetensors create mode 100644 model.safetensors.index.json create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.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 diff --git a/README.md b/README.md new file mode 100644 index 0000000..efbc542 --- /dev/null +++ b/README.md @@ -0,0 +1,422 @@ +--- +language: +- en + +license: apache-2.0 + +base_model: +- Qwen/Qwen2.5-3B-Instruct + +tags: +- research +- scientific-literature +- question-answering +- summarization +- instruction-tuning +- qlora +- unsloth +- peft +- lora +- qwen2.5 +- arxiv +- pubmed +- academic-assistant + +library_name: transformers + +pipeline_tag: text-generation + +datasets: +- qiaojin/PubMedQA +- arXiv + +model-index: +- name: ResearchMate-Qwen2.5-3B + results: [] + +--- + +# ResearchMate-Qwen2.5-3B + +ResearchMate-Qwen2.5-3B is a domain-specialized Large Language Model designed to assist researchers, students, and practitioners with scientific literature. + +The model is instruction fine-tuned from **Qwen2.5-3B-Instruct** using **QLoRA** and **Unsloth**. Instead of functioning as a general-purpose chatbot, ResearchMate focuses on understanding scientific papers and responding to research-oriented instructions. + +This release represents **Version 1** of the ResearchMate project. + +--- + +# Model Overview + +| Property | Value | +|-----------|-------| +| Model | Qwen2.5-3B-Instruct | +| Fine-tuning | QLoRA | +| Framework | Unsloth | +| Parameter Count | 3B | +| Quantization | 4-bit | +| PEFT | LoRA | +| Primary Domain | Scientific Literature | +| Language | English | +| Version | 1.0 | + +--- + +# Project Goal + +ResearchMate aims to provide a lightweight, open-source scientific assistant capable of understanding research papers and responding to academic instructions. + +The objective is not to replace Retrieval-Augmented Generation systems or search engines, but to improve a language model's understanding of scientific writing through supervised instruction fine-tuning. + +Version 1 focuses on instruction tuning without retrieval. + +--- + +# Supported Tasks + +ResearchMate has been instruction-tuned for several scientific literature tasks including: + +- Scientific Question Answering +- Paper Summarization +- Abstract Explanation +- Beginner-Friendly Concept Explanation +- Keyword Extraction +- Research Field Identification +- Scientific TL;DR Generation +- Contribution Identification +- Method Identification + +--- + +# Training Method + +The model was fine-tuned using: + +- Unsloth +- QLoRA +- PEFT LoRA +- 4-bit Quantization + +Training was performed on Kaggle GPUs to reduce memory requirements while maintaining strong instruction-following capabilities. + +--- + +# Dataset Construction + +ResearchMate does **not** train directly on raw datasets. + +Instead, a dedicated dataset-building pipeline converts multiple scientific sources into a unified instruction dataset. + +The preprocessing pipeline is independent of model training. + +Dataset pipeline: + +``` +Scientific Dataset + +↓ + +Validation + +↓ + +Schema Conversion + +↓ + +Cleaning + +↓ + +Merge + +↓ + +JSONL Export + +↓ + +Training +``` + +--- + +# Dataset Schema + +Every training example follows the same structure: + +```json +{ + "instruction": "...", + "input": "...", + "output": "...", + "source": "...", + "task": "..." +} +``` + +This unified schema allows new scientific datasets to be added without modifying the training pipeline. + +--- + +# Data Sources + +Version 1 uses the following sources: + +## PubMedQA + +Purpose: + +- Scientific Question Answering + +Configuration: + +``` +pqa_labeled +``` + +Fields used: + +- Question +- Context +- Long Answer + +--- + +## arXiv + +Scientific papers collected through the official arXiv API. + +Paper metadata including titles, abstracts and categories were converted into instruction-response pairs for research-oriented tasks. + +--- + +# Training Configuration + +| Parameter | Value | +|-----------|-------| +| Fine-tuning Method | QLoRA | +| PEFT | LoRA | +| Quantization | 4-bit | +| Framework | Unsloth | +| Optimizer | AdamW | +| Epochs | 2 | +| Batch Size | 2 | +| Gradient Accumulation | 4 | +| Sequence Length | 2048 | + +--- + +# Evaluation + +The model was evaluated against the original Qwen2.5-3B-Instruct model. + +Evaluation included: + +- Scientific QA +- Response quality inspection +- ROUGE (where applicable) +- Latency comparison +- Hallucination inspection +- Task-wise qualitative comparison + +--- + +# Example Usage + +```python +from transformers import AutoTokenizer, AutoModelForCausalLM + +model_name = "igmoiiz/ResearchMate-Qwen2.5-3B" + +tokenizer = AutoTokenizer.from_pretrained(model_name) + +model = AutoModelForCausalLM.from_pretrained( + model_name, + device_map="auto" +) + +messages = [ + { + "role": "user", + "content": "Explain transfer learning in simple language." + } +] + +prompt = tokenizer.apply_chat_template( + messages, + tokenize=False, + add_generation_prompt=True +) + +inputs = tokenizer(prompt, return_tensors="pt").to(model.device) + +outputs = model.generate( + **inputs, + max_new_tokens=256 +) + +print( + tokenizer.decode( + outputs[0][inputs["input_ids"].shape[1]:], + skip_special_tokens=True + ) +) +``` + +--- + +# Example Prompts + +### Scientific Question Answering + +``` +Answer the scientific question using the provided context. + +Question: +What is transfer learning? +``` + +--- + +### Summarization + +``` +Summarize the following scientific abstract. +``` + +--- + +### Beginner Explanation + +``` +Explain this abstract in simple language. +``` + +--- + +### Keyword Extraction + +``` +Extract the important keywords from this paper. +``` + +--- + +### Research Field Identification + +``` +Identify the research field of this paper. +``` + +--- + +# Intended Uses + +Suitable for: + +- Research assistants +- Literature exploration +- Educational tools +- Scientific tutoring +- Academic chatbots +- Research paper preprocessing +- Scientific writing assistance + +--- + +# Limitations + +ResearchMate Version 1 has several limitations. + +- No Retrieval-Augmented Generation (RAG) +- No citation verification +- No PDF parsing +- No web search +- No factual verification beyond the model's learned parameters +- Performance depends on the quality and diversity of the instruction dataset +- May generate incorrect or outdated scientific information + +Users should verify important scientific claims using authoritative sources. + +--- + +# Future Work + +Planned improvements include: + +- Retrieval-Augmented Generation (RAG) +- Citation-aware responses +- PDF ingestion +- Larger scientific datasets +- Multi-turn research conversations +- Paper recommendation +- Local deployment using Ollama and vLLM +- Improved evaluation benchmarks +- Expanded scientific domains + +--- + +# Repository Structure + +``` +Notebook 1 +Dataset Builder + +↓ + +Notebook 2 +QLoRA Fine-tuning + +↓ + +Notebook 3 +Inference + +↓ + +Notebook 4 +Evaluation +``` + +--- + +# Citation + +If you use this model in your work, please cite the repository. + +``` +@software{researchmate2026, + title={ResearchMate-Qwen2.5-3B}, + author={Moiz Baloch}, + year={2026}, + publisher={Hugging Face}, + url={https://huggingface.co/igmoiiz/ResearchMate-Qwen2.5-3B} +} +``` + +--- + +# Acknowledgements + +This project builds upon the work of: + +- Alibaba Qwen Team +- Unsloth AI +- Hugging Face +- PubMedQA +- arXiv + +Their open-source contributions made this project possible. + +--- + +# Contact + +Author: **Moiz Baloch** + +GitHub: https://github.com/igmoiiz + +Hugging Face: https://huggingface.co/igmoiiz + +--- \ No newline at end of file diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..bdf7919 --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,54 @@ +{%- if tools %} + {{- '<|im_start|>system\n' }} + {%- if messages[0]['role'] == 'system' %} + {{- messages[0]['content'] }} + {%- else %} + {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }} + {%- endif %} + {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }} + {%- for tool in tools %} + {{- "\n" }} + {{- tool | tojson }} + {%- endfor %} + {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }} +{%- else %} + {%- if messages[0]['role'] == 'system' %} + {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }} + {%- else %} + {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. 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