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Model: 5ivatej/qwen2.5-1.5B-india-finetuned
Source: Original Platform

README.md

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+---
+language:
+- en
+- kn
+- hi
+- ta
+- te
+- mr
+- gu
+tags:
+- lora
+- sft
+- indic
+- qwen2.5
+license: other
+base_model: Qwen/Qwen2.5-1.5B
+datasets:
+- ai4bharat/indic-align
+library_name: mlx
+pipeline_tag: text-generation
+---
+
+# qwen1.5B-india-finetuned
+
+## Overview
+This repository contains **Qwen2.5-1.5B** fine-tuned with **LoRA** on small Indic instruction-following datasets.  
+The LoRA adapters were merged into the base weights, producing a **standalone checkpoint** that can be used directly with `mlx_lm`.
+
+---
+
+## License
+- The base model [Qwen/Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B) is released under the [Qwen License](https://huggingface.co/Qwen/Qwen2.5-1.5B/blob/main/LICENSE).  
+- This fine-tuned checkpoint is subject to the same license. Please review the terms before use, especially for commercial scenarios.  
+- Marked here as `license: other` to follow Hugging Face conventions.
+
+---
+
+## Training Configuration
+- **Method:** LoRA-SFT (attention + MLP)
+- **LoRA hyperparams:** `r=16, alpha=32, dropout=0.05`
+- **Max sequence length:** 1024
+- **Steps:** 1500
+- **Batch size:** 1
+- **Optimizer:** AdamW (default in `mlx_lm`)
+- **Hardware:** Apple Silicon (MacBook Pro M4)  
+- **Framework:** [`mlx_lm`](https://github.com/ml-explore/mlx-examples/tree/main/llms/mlx_lm)
+
+The training configuration YAML used can be found at:
+[`configs/qwen2.5-3b_lora.yaml`](./configs/qwen2.5-3b_lora.yaml)
+
+---
+
+## Data
+- Subsets from [ai4bharat/indic-align](https://huggingface.co/datasets/ai4bharat/indic-align) were used: **Dolly_T** and **Anudesh**.
+- Converted into completion-style prompts (`prompt`/`completion` pairs).  
+- The focus is on **Indic languages** (Kannada, Hindi, Tamil, Telugu, Marathi, Gujarati) with some English instructions.  
+- Preprocessed into `train.jsonl` / `valid.jsonl` (not included here).
+
+---
+
+## Usage
+
+Run with `mlx_lm`:
+
+```bash
+python -m mlx_lm generate \
+  --model 5ivatej/qwen2.5-1.5B-india-finetuned \
+  --max-tokens 200 \
+  --prompt "Reply ONLY in Kannada written in English letters. Question: kannada dalli mathadoo?\n\nAnswer:"