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README.md

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+# Droplychee-40B
+
+<div align="center">
+
+# 🧠 Droplychee-40B
+
+**An open multilingual instruction model based on the Qwen family.**
+
+[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](#license)
+[![Status](https://img.shields.io/badge/Status-Under%20Development-orange)]()
+[![Language](https://img.shields.io/badge/Languages-Bangla%20%7C%20English-green)]()
+
+</div>
+
 ---
-language:
-- en
-- bn
-license: apache-2.0
-tags:
-- unsloth
-- fine tune
-- heretic
-- uncensored
-- abliterated
-- multi-stage tuned.
-- all use cases
-- coder
-- creative
-- creative writing
-- fiction writing
-- plot generation
-- sub-plot generation
-- fiction writing
-- story generation
-- scene continue
-- storytelling
-- fiction story
-- science fiction
-- romance
-- all genres
-- story
-- writing
-- vivid prosing
-- vivid writing
-- fiction
-- roleplaying
-- bfloat16
-- all use cases
-datasets:
-- TeichAI/claude-4.5-opus-high-reasoning-250x
-- argilla/alpaca_bangla
-- nihalbaig/alpaca-bangla_validation
-- iamshnoo/alpaca-cleaned-bengali
-- fka/prompts.chat
-- wikimedia/wikipedia
-- KillerShoaib/DeepSeek-r1-Distill-Bangla-MMLU-Reasoning-Data
-- kawchar85/Bangla-Math
-- LAYEK-143/BANGLA-BOOK
-- Manusagents/GPT-5.5-Gemini-3.1-Pro-Grok-4-Claude-Fable-5-Mythos-5-Qwen-3.7-Max-and-more-Distillation-Dataset
-- armand0e/claude-fable-5-claude-code
-- angrygiraffe/claude-opus-4.6-4.7-reasoning-8.7k
-- nlile/misc-merged-claude-code-traces-v1
-- armand0e/minimax-m3-claude-code-traces
-- Johnblick187/claude-sonnet-4.6-opus-4.8-mythos-5-fable-5-openai-finetuning-dataset
-- angrygiraffe/claude-opus-4.6-4.7-reasoning-8.7k
-- TeichAI/claude-4.5-opus-high-reasoning-250x
-- DIBT-Bengali/Bengali-Prompt-Evaluation-Data
-pipeline_tag: text-generation
-library_name: transformers
+
+## Overview
+
+Droplychee-40B is a multilingual large language model developed by **Droplychee Core**. The model is built on the **Qwen** family through **full fine-tuning** with the goal of improving multilingual instruction following, reasoning, coding, and Bangla language capabilities.
+
+This release is intended for research and early evaluation while the project continues to evolve.
+
 ---
+
+## Highlights
+
+* 🌍 Multilingual (Bangla & English)
+* 🧠 Instruction Following
+* 💻 Coding Assistance
+* ✨ General Reasoning
+* 📚 Research Friendly
+* 🔓 Open Development
+
+---
+
+## Model Details
+
+| Property          | Value                    |
+| ----------------- | ------------------------ |
+| Model Name        | Droplychee-40B           |
+| Base Model        | Qwen Family              |
+| Training Method   | Full Fine-Tuning         |
+| Architecture      | Decoder-only Transformer |
+| Primary Languages | Bangla, English          |
+| Status            | Under Development        |
+| Organization      | Droplychee Core          |
+
+---
+
+## Intended Uses
+
+Droplychee-40B is designed for:
+
+* Conversational AI
+* Coding assistance
+* Multilingual reasoning
+* Bangla NLP
+* Education
+* Research
+* AI Agents
+* Document understanding
+
+---
+
+## Limitations
+
+This model is currently under active development.
+
+Users should expect:
+
+* Possible factual errors
+* Hallucinations
+* Incomplete reasoning
+* Benchmark results may change
+* Future releases may significantly improve quality
+
+---
+
+## Training
+
+Droplychee-40B was created through **full fine-tuning** of a model from the **Qwen family**.
+
+Additional training details will be documented in future releases.
+
+**TBD**
+
+* Dataset composition
+* Training tokens
+* Optimizer
+* Learning rate
+* Batch size
+* Epochs
+* Sequence length
+
+---
+
+## Evaluation
+
+Comprehensive benchmark results are not yet available.
+
+Future evaluations are planned for:
+
+* MMLU
+* GSM8K
+* HumanEval
+* MBPP
+* ARC
+* IFEval
+* BBH
+* Bangla-specific benchmarks
+
+---
+
+## Usage (Transformers)
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_id = "droplychee/droplychee-40b"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype="auto",
+    device_map="auto"
+)
+
+messages = [
+    {"role": "user", "content": "Explain recursion with a Python example."}
+]
+
+text = tokenizer.apply_chat_template(
+    messages,
+    tokenize=False,
+    add_generation_prompt=True
+)
+
+inputs = tokenizer(text, return_tensors="pt").to(model.device)
+
+outputs = model.generate(
+    **inputs,
+    max_new_tokens=512
+)
+
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+---
+
+## Citation
+
+```bibtex
+@misc{droplychee40b2026,
+  title={Droplychee-40B},
+  author={Droplychee Core},
+  year={2026},
+  publisher={Hugging Face},
+  howpublished={\url{https://huggingface.co/droplychee}}
+}
+```
+
+---
+
+## License
+
+**TBD**
+
+(Choose the appropriate license before the stable release.)
+
+---
+
+## Acknowledgements
+
+Droplychee-40B builds upon the open-source AI ecosystem. We acknowledge the contributions of the Qwen team and the broader machine learning community.
+
+---
+
+## Contact
+
+* Organization: **Droplychee Core**
+* GitHub: https://github.com/DropLychee
+* Hugging Face: https://huggingface.co/droplychee