| --- |
| base_model: Qwen/Qwen3-4B |
| library_name: peft |
| pipeline_tag: text-generation |
| tags: |
| - base_model:adapter:Qwen/Qwen3-4B |
| - sft |
| - grpo |
| - lora |
| - transformers |
| - trl |
| --- |
| |
| # Combined SFT + GRPO LoRA Adapter for Qwen3-4B |
|
|
| This adapter combines two LoRA training stages into a single adapter: |
|
|
| 1. **SFT** (Supervised Fine-Tuning) on Qwen/Qwen3-4B |
| 2. **GRPO** (Group Relative Policy Optimization) on the SFT model |
|
|
| The two rank-32 adapters were merged into a single **rank-64** adapter (lossless). |
| Apply directly to `Qwen/Qwen3-4B` — no intermediate merged model needed. |
|
|
| ## Usage |
|
|
| ```python |
| from peft import PeftModel |
| from transformers import AutoModelForCausalLM, AutoTokenizer |
| |
| base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B") |
| model = PeftModel.from_pretrained(base_model, "abdul-hannan/qwen3-math-grpo") |
| tokenizer = AutoTokenizer.from_pretrained("abdul-hannan/qwen3-math-grpo") |
| ``` |
|
|
| ## Training Details |
|
|
| - **Base model:** Qwen/Qwen3-4B |
| - **LoRA rank:** 64 (combined from two rank-32 adapters) |
| - **LoRA alpha:** 128 |
| - **Target modules:** q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj |
| - **PEFT version:** 0.18.1 |
| |
| ### Contact |
| Syed Abdul Hannan |
| |
| ### Framework versions |
| |
| - PEFT 0.18.1 |
| |
