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  library_name: transformers
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- tags: []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- # Model Card for Model ID
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- <!-- Provide a quick summary of what the model is/does. -->
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- ## Model Details
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- ### Model Description
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- <!-- Provide a longer summary of what this model is. -->
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- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- - **Developed by:** [More Information Needed]
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- - **Funded by [optional]:** [More Information Needed]
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- - **Shared by [optional]:** [More Information Needed]
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- - **Model type:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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- - **License:** [More Information Needed]
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- - **Finetuned from model [optional]:** [More Information Needed]
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- ### Model Sources [optional]
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- <!-- Provide the basic links for the model. -->
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- - **Repository:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [optional]:** [More Information Needed]
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- ## Uses
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- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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- ### Direct Use
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- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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- [More Information Needed]
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- ### Downstream Use [optional]
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- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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- [More Information Needed]
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- ### Out-of-Scope Use
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- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
 
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- [More Information Needed]
 
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- ## Bias, Risks, and Limitations
 
 
 
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- ### Recommendations
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- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
 
 
 
 
 
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- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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- ## How to Get Started with the Model
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- Use the code below to get started with the model.
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  ## Training Details
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  ### Training Data
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- <!-- 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. -->
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- ### Training Procedure
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- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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- #### Preprocessing [optional]
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- [More Information Needed]
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- #### Training Hyperparameters
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- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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- #### Speeds, Sizes, Times [optional]
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- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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- ## Evaluation
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- <!-- This section describes the evaluation protocols and provides the results. -->
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- ### Testing Data, Factors & Metrics
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- #### Testing Data
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- #### Factors
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- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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- #### Metrics
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- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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- ### Results
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- #### Summary
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- ## Model Examination [optional]
 
 
 
 
 
 
 
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- <!-- Relevant interpretability work for the model goes here -->
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- [More Information Needed]
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- ## Environmental Impact
 
 
 
 
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- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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- 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).
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- - **Hardware Type:** [More Information Needed]
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- - **Hours used:** [More Information Needed]
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- - **Cloud Provider:** [More Information Needed]
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- - **Compute Region:** [More Information Needed]
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- - **Carbon Emitted:** [More Information Needed]
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- ## Technical Specifications [optional]
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- ### Model Architecture and Objective
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  ### Compute Infrastructure
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- #### Hardware
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- #### Software
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- ## Citation [optional]
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- **BibTeX:**
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- **APA:**
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- ## Glossary [optional]
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- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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- ## More Information [optional]
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- ## Model Card Authors [optional]
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- ## Model Card Contact
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  ---
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  library_name: transformers
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+ tags:
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+ - code
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+ - coding-assistant
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+ - indian-languages
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+ - hindi
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+ - multilingual
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+ - qwen2
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+ - lora
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+ - fine-tuned
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+ - indian-history
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+ - indic-nlp
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+ license: apache-2.0
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+ language:
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+ - en
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+ - hi
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+ - bn
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+ - ta
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+ - te
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+ - mr
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+ - gu
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+ - kn
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+ - ml
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+ - pa
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+ - or
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+ base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
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+ pipeline_tag: text-generation
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  ---
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+ # 🇮🇳 Indra Indian Language AI Assistant
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+ **Indra** is a fine-tuned LLM built on **Qwen2.5-Coder-1.5B-Instruct**, trained on Indian language and history datasets. It can converse in **10 Indian languages**, answer questions about **Indian history & culture**, and still write code.
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+ ## ✨ Highlights
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+ - 🗣️ **10 Indian languages** — Hindi, Bengali, Tamil, Telugu, Marathi, Gujarati, Kannada, Malayalam, Punjabi, Odia
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+ - 📜 **Indian history & culture** — From Indus Valley to modern India
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+ - 🔄 **Bilingual conversations** — Hinglish, code-switching, vernacular queries
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+ - 💻 **Coding preserved** — Still writes Python, JavaScript, and full-stack code
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+ - 📦 **Lightweight** — 1.5B parameters, runs on consumer GPUs
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+ ## Quick Start
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ```python
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+ from transformers import AutoModelForCausalLM, AutoTokenizer
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+ model = AutoModelForCausalLM.from_pretrained("RockySinghRajput/Indra", torch_dtype="auto", device_map="auto")
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+ tokenizer = AutoTokenizer.from_pretrained("RockySinghRajput/Indra")
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+ messages = [
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+ {"role": "system", "content": "आप Indra हैं, एक बुद्धिमान AI सहायक।"},
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+ {"role": "user", "content": "भारत के स्वतंत्रता संग्राम के बारे में बताइए।"}
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+ ]
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+ text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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+ inputs = tokenizer([text], return_tensors="pt").to(model.device)
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+ output = model.generate(inputs.input_ids, max_new_tokens=512, temperature=0.7, top_p=0.9)
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+ print(tokenizer.decode(output[0][len(inputs.input_ids[0]):], skip_special_tokens=True))
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+ ```
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+ ### Hinglish Example
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+ ```python
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+ messages = [
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+ {"role": "system", "content": "You are Indra, a helpful AI that understands Hindi and English."},
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+ {"role": "user", "content": "Mujhe Python mein ek calculator banana hai, kaise karoon?"}
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+ ]
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+ ```
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+ ## Model Details
 
 
 
 
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+ | Property | Value |
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+ |----------|-------|
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+ | **Base Model** | [Qwen/Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct) |
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+ | **Parameters** | 1.5B |
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+ | **Type** | Causal Language Model (merged LoRA fine-tune) |
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+ | **Languages** | English, Hindi, Bengali, Tamil, Telugu, Marathi, Gujarati, Kannada, Malayalam, Punjabi, Odia |
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+ | **License** | Apache 2.0 |
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+ | **Developed by** | [RockySinghRajput](https://huggingface.co/RockySinghRajput) |
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+ | **Related Model** | [IndraCoder](https://huggingface.co/RockySinghRajput/Indracoder) (coding-focused version) |
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+
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+ ## Supported Languages
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+ | Language | Script | Code |
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+ |----------|--------|------|
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+ | Hindi | देवनागरी | hi |
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+ | Bengali | বাংলা | bn |
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+ | Tamil | தமிழ் | ta |
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+ | Telugu | తెలుగు | te |
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+ | Marathi | मराठी | mr |
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+ | Gujarati | ગુજરાતી | gu |
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+ | Kannada | ಕನ್ನಡ | kn |
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+ | Malayalam | മലയാളം | ml |
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+ | Punjabi | ਪੰਜਾਬੀ | pa |
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+ | Odia | ଓଡ଼ିଆ | or |
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+ | English | Latin | en |
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  ## Training Details
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  ### Training Data
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+ Fine-tuned on **6 Indian language & culture datasets**:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ | Dataset | Purpose | Content |
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+ |---------|---------|---------|
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+ | [CohereForAI/aya_dataset](https://huggingface.co/datasets/CohereForAI/aya_dataset) | Multilingual Indian conversations | 10 Indian languages |
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+ | [Cognitive-Lab/Hindi-Instruct](https://huggingface.co/datasets/Cognitive-Lab/Hindi-Instruct) | Hindi instruction following | Hindi Q&A |
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+ | [sarvamai/samvaad-hi-en-instruct-v2](https://huggingface.co/datasets/sarvamai/samvaad-hi-en-instruct-v2) | Bilingual conversations | Hindi-English |
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+ | CohereForAI/aya_collection (India-filtered) | Indian history & culture | History, heritage, knowledge |
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+ | CohereForAI/aya_collection (Hindi WikiQA) | Hindi knowledge base | Wikipedia-sourced Hindi QA |
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+ | ai4bharat/IndicSentiment | Hindi language understanding | Sentiment analysis |
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+ ### Indian History Coverage
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+ The model has been trained on Indian history spanning:
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+ - **Ancient India** — Indus Valley Civilization, Vedic period, Maurya & Gupta Empires
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+ - **Medieval India** — Delhi Sultanate, Mughal Empire, Vijayanagara, Maratha Empire, Bhakti & Sufi movements
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+ - **Modern India** — British Raj, Freedom struggle, Independence, Republic
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+ - **Indian Constitution** — Fundamental rights, governance, democracy
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+ - **Culture & Heritage** — Art, architecture, literature, philosophy, classical music, Ayurveda, Yoga
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+ ### Training Procedure
 
 
 
 
 
 
 
 
 
 
 
 
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+ - **Method**: LoRA (Low-Rank Adaptation) → merged into base model
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+ - **LoRA Config**: r=16, alpha=16, dropout=0.05
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+ - **Target Modules**: q_proj, k_proj, v_proj, o_proj
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+ - **Epochs**: 2
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+ - **Learning Rate**: 2e-5 (lower to preserve base capabilities)
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+ - **Optimizer**: paged_adamw_8bit
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+ - **Sequence Length**: 512 tokens
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+ - **Precision**: FP16 mixed precision
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+ - **Quantization**: 4-bit NF4 (QLoRA) during training
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  ### Compute Infrastructure
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+ - **Hardware**: NVIDIA T4 GPU
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+ - **Training Time**: ~2 hours
 
 
 
 
 
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+ ## Capabilities
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+ ### What Indra Can Do
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+ - **Converse in Indian languages** Answer questions in Hindi, Bengali, Tamil, Telugu, and more
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+ - **Indian history & culture** — Detailed knowledge of Indian civilization
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+ - **Hinglish/bilingual** — Handle mixed Hindi-English naturally
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+ - **General knowledge** — Science, geography, current affairs with Indian context
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+ - **Coding** — Write code in Python, JavaScript, and other languages
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+ - **Sentiment analysis** — Understand sentiment in Hindi text
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+ ### ⚠️ Limitations
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+ - **1.5B model** — Smaller than commercial LLMs; may produce shorter or less nuanced responses
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+ - **Script limitations** — Stronger in Hindi/Devanagari; other Indian scripts may have lower quality
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+ - **Not a translator** — Optimized for conversation, not professional translation
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+ - **May hallucinate** — Always verify historical facts and generated content
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+ - **English-centric base** — Indian language abilities are fine-tuned on top of an English-dominant base
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+ ### ❌ Out-of-Scope Use
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+ - Professional translation services
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+ - Legal or medical advice
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+ - Factual source of record for academic research
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+ - Generating harmful or culturally insensitive content
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+ ## Evaluation
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ | Test | Language | Task | Result |
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+ |------|----------|------|--------|
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+ | Hindi Chat | Hindi | Gandhi's role in freedom struggle | ✅ Detailed response |
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+ | Indian History | English | Gupta Empire Golden Age | ✅ Accurate overview |
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+ | Hinglish | Mixed | "Python mein calculator banana hai" | ✅ Code + Hindi explanation |
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+ | Coding | English | Binary search implementation | ✅ Working code |
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+ | Indian Culture | Hindi | Classical music ragas | ✅ Cultural knowledge |
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+
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+ ## Model Family
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+
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+ | Model | Focus | Repo |
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+ |-------|-------|------|
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+ | **Indra** (this model) | Indian languages + history | [RockySinghRajput/Indra](https://huggingface.co/RockySinghRajput/Indra) |
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+ | **IndraCoder** | Coding + debugging | [RockySinghRajput/Indracoder](https://huggingface.co/RockySinghRajput/Indracoder) |
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+ | **IndraCoder-7B** | Advanced coding + chat (coming soon) | [RockySinghRajput/IndraCoder-7B](https://huggingface.co/RockySinghRajput/IndraCoder-7B) |
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{indra2025,
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+ title={Indra: An Indian Language AI Assistant},
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+ author={RockySinghRajput},
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+ year={2025},
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+ publisher={HuggingFace},
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+ url={https://huggingface.co/RockySinghRajput/Indra}
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+ }
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+ ```
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+
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+ ## Contact
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+
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+ - **HuggingFace**: [RockySinghRajput](https://huggingface.co/RockySinghRajput)