Update README.md

README.md

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 ---
 library_name: transformers
-tags: []
+tags:
+  - code
+  - coding-assistant
+  - qwen2
+  - lora
+  - fine-tuned
+  - full-stack
+  - reasoning
+license: apache-2.0
+language:
+  - en
+base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
+pipeline_tag: text-generation
 ---
 
-# Model Card for Model ID
+# 🇮🇳 IndraCoder — AI Coding Assistant
 
-<!-- Provide a quick summary of what the model is/does. -->
+A fine-tuned coding LLM built on **Qwen2.5-Coder-1.5B-Instruct**, trained on 4 curated datasets for code generation, debugging, algorithmic reasoning, and agentic tool use.
 
+## ✨ Highlights
 
+- 🧠 **Chain-of-thought reasoning** — Uses `<think>` blocks to reason before coding
+- 🔧 **Full-stack development** — Python, JavaScript, TypeScript, React, FastAPI, and more
+- 🛠️ **Tool/function calling** — Trained on agentic tool-use patterns
+- 📦 **Lightweight** — 1.5B parameters, runs on consumer GPUs
 
-## Model Details
-
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
-## Uses
-
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
-### Direct Use
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-
-[More Information Needed]
-
-### Downstream Use [optional]
-
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
+## Quick Start
 
-### Out-of-Scope Use
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
 
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+model = AutoModelForCausalLM.from_pretrained("RockySinghRajput/Indracoder", torch_dtype="auto", device_map="auto")
+tokenizer = AutoTokenizer.from_pretrained("RockySinghRajput/Indracoder")
 
-[More Information Needed]
+messages = [
+    {"role": "system", "content": "You are IndraCoder, an expert AI coding assistant."},
+    {"role": "user", "content": "Write a Python function to find the longest palindromic substring."}
+]
 
-## Bias, Risks, and Limitations
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer([text], return_tensors="pt").to(model.device)
 
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+output = model.generate(inputs.input_ids, max_new_tokens=512, temperature=0.7, top_p=0.9)
+print(tokenizer.decode(output[0][len(inputs.input_ids[0]):], skip_special_tokens=True))
+```
 
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
+## Model Details
 
-[More Information Needed]
+| Property | Value |
+|----------|-------|
+| **Base Model** | [Qwen/Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct) |
+| **Parameters** | 1.5B |
+| **Type** | Causal Language Model (merged LoRA fine-tune) |
+| **Language** | English |
+| **License** | Apache 2.0 |
+| **Developed by** | [RockySinghRajput](https://huggingface.co/RockySinghRajput) |
 
 ## Training Details
 
 ### Training Data
 
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+Fine-tuned on **4 curated datasets** (~8,000 samples):
 
-[More Information Needed]
+| Dataset | Purpose | Samples |
+|---------|---------|---------|
+| [glaive-code-assistant-v3](https://huggingface.co/datasets/glaiveai/glaive-code-assistant-v3) | General code generation & debugging | ~2,000 |
+| [evol-codealpaca-v1](https://huggingface.co/datasets/theblackcat102/evol-codealpaca-v1) | Hard algorithmic problems | ~2,000 |
+| [CodeFeedback-Filtered](https://huggingface.co/datasets/m-a-p/CodeFeedback-Filtered-Instruction) | Code reasoning & explanations | ~2,000 |
+| [glaive-function-calling-v2](https://huggingface.co/datasets/glaiveai/glaive-function-calling-v2) | Agentic tool/function calling | ~2,000 |
 
 ### Training Procedure
 
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
-#### Preprocessing [optional]
-
-[More Information Needed]
-
-
-#### Training Hyperparameters
-
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
-
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-[More Information Needed]
-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
-
-[More Information Needed]
+- **Method**: LoRA (Low-Rank Adaptation) → merged into base model
+- **LoRA Config**: r=16, alpha=16, dropout=0.05
+- **Target Modules**: q_proj, k_proj, v_proj, o_proj
+- **Epochs**: 1
+- **Batch Size**: 1 (gradient accumulation: 4, effective batch: 4)
+- **Learning Rate**: 1e-4 (cosine schedule)
+- **Optimizer**: paged_adamw_8bit
+- **Sequence Length**: 512 tokens
+- **Precision**: FP16 mixed precision
+- **Quantization**: 4-bit NF4 (QLoRA) during training
 
 ### Compute Infrastructure
 
-[More Information Needed]
-
-#### Hardware
-
-[More Information Needed]
+- **Hardware**: NVIDIA T4 GPU
+- **Training Time**: ~1 hour
 
-#### Software
+## Capabilities
 
-[More Information Needed]
+### ✅ What IndraCoder Can Do
 
-## Citation [optional]
+- **Write code** in Python, JavaScript, TypeScript, Java, C++, Go, Rust
+- **Debug code** — find and fix bugs with explanations
+- **Explain code** — break down complex code step by step
+- **Algorithm design** — data structures, dynamic programming, graphs
+- **Full-stack development** — React, FastAPI, Express, databases
+- **Tool/function calling** — structured function calls for agentic workflows
 
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+### ⚠️ Limitations
 
-**BibTeX:**
+- **1.5B model** — smaller than GPT-4, Claude, or larger open-source models
+- **Not suitable** for complex multi-file refactoring or very long code generation
+- **English only** — not trained on multilingual data
+- **No image/file understanding** — text-only model
+- **May hallucinate** — always review generated code before using in production
 
-[More Information Needed]
+### ❌ Out-of-Scope Use
 
-**APA:**
+- Production code without human review
+- Security-critical applications without expert validation
+- Medical, legal, or financial advice
+- Generating malicious code or exploits
 
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+## Evaluation
 
-[More Information Needed]
+Tested on 4 qualitative benchmarks:
 
-## More Information [optional]
+| Test | Task | Result |
+|------|------|--------|
+| Full-Stack | REST API with auth in FastAPI | ✅ Generates working code |
+| Algorithm | Implement LRU Cache O(1) | ✅ Correct approach |
+| Debug | Fix React infinite re-render | ✅ Identifies useEffect issue |
+| Tool Use | Chain function calls for file analysis | ✅ Correct tool selection |
 
-[More Information Needed]
+> **Note**: These are qualitative assessments, not standardized benchmarks.
 
-## Model Card Authors [optional]
+## Citation
 
-[More Information Needed]
+```bibtex
+@misc{indracoder2025,
+  title={IndraCoder: A Fine-tuned Coding LLM},
+  author={RockySinghRajput},
+  year={2025},
+  publisher={HuggingFace},
+  url={https://huggingface.co/RockySinghRajput/Indracoder}
+}
+```
 
-## Model Card Contact
+## Contact
 
-[More Information Needed]
+- **HuggingFace**: [RockySinghRajput](https://huggingface.co/RockySinghRajput)