Qwen vl grpo. This repository provides Video GRPO (Group Relative Policy...
Qwen vl grpo. This repository provides Video GRPO (Group Relative Policy Optimization) training capabilities for Qwen2. yaml Qwen2. While based on the original Qwen2. 5 days ago 路 We’re on a journey to advance and democratize artificial intelligence through open source and open science. This repository provides Video GRPO (Group Relative Policy Optimization) training capabilities for Qwen2. Get Started 馃搾 Unsloth Notebooks Fine-tuning notebooks: Explore the Unsloth catalog. We also uploaded Qwen3 with native 128K context length. yaml, the configurations here will override those in examples/config. 2. You need to use the following image to launch the instance. sh Contribute to Wu-didi/qwen3-vl-det development by creating an account on GitHub. 1. Environment Setup Docker Image Preparation We recommend running the following example in PAI DSW / DLC. In this experiment, we will use the vision encoder from a Qwen 2. Run & fine-tune the latest model: Qwen-2507 All uploads use Unsloth Dynamic 2. 5 0. cpp. Contribute to Prongcan/my_verl development by creating an account on GitHub. main has the same configuration items as examples/config. Special Credits to GAD-Cell for helping Unsloth create this notebook and bringing VLM GRPO into Unsloth! Now, use the model-unsloth. 5B language model, which is lightweight enough to run on a single consumer-grade GPU. Mar 10, 2025 路 In this experiment, we will use the vision encoder from a Qwen 2. Apr 12, 2025 路 In each training step, a batch of prompts is sampled, and a set of completion sequences (a group of G, each denoted as o i oi) is generated for each prompt. sh Change comments to indicate modified areas If the command line python3 -m verl. sh Top File metadata and controls Code Blame 87 lines (84 loc) · 3. run_qwen3_vl_30b_vllm_fsdp_npu. . GRPO Training: examples/qwen2_5_vl_3b_geo3k_grpo. Qwen achieves this by using YaRN to extend its original 40K window to 128K Fine-tuning notebooks: Explore the Unsloth catalog. 5-VL codebase, this project focuses on implementing advanced preference 5 days ago 路 We’re on a journey to advance and democratize artificial intelligence through open source and open science. And Jan 27, 2025 路 We’re on a journey to advance and democratize artificial intelligence through open source and open science. Qwen2. Jan 27, 2025 路 The generation of this model is the same as the original Qwen/Qwen2-VL-7B-Instruct simply changes the model_id in from pretrained would works from transformers import Qwen2VLForConditionalGeneration, AutoTokenizer, AutoProcessor Mar 10, 2025 路 The Qwen-VL series has demonstrated strong performance on vision-language tasks, making it an ideal choice. Computing the Advantage. Blog Ultra Long-Context Reinforcement Learning is here with 7x more context windows! Blog New in Reinforcement Learning: FP8 RL • Vision RL • Standby • gpt-oss RL Visit our docs for all our model uploads and notebooks. 5vl-7b model. 97 KB Raw Copy raw file Download raw file Edit and raw actions 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 trl version for srpo, just a test. 2. gguf file in llama. Implementation of GRPO Training Code Using EasyR1 3. 5-VL models, specifically designed for multiple-choice video understanding tasks. For each of the G sequences in the group, rewards r i ri are calculated using the reward model. Contribute to dgme-syz/srpo development by creating an account on GitHub. Prongcan / my_verl Public Notifications You must be signed in to change notification settings Fork 0 Star 0 Code Projects Insights Code Issues Pull requests Actions Projects Security and quality Insights Files Expand file tree main my_verl examples on_policy_distillation_trainer run_qwen3_vl_geo3k_grpo. 5-VL End-to-End GRPO Training Tutorial with FSDP This document provides instructions for end-to-end training using the ChatLearn, pytorch FSDP and vLLM framework, and the qwen2. Blog • Notebook Train MoEs - DeepSeek, GLM, Qwen and gpt-oss 12x faster with 35% less VRAM. trainer. gguf file or model-unsloth-Q4_K_M. 5-VL 3B model and pair it with the Qwen 2. 0 for SOTA 5-shot MMLU and KL Divergence performance, meaning you can run & fine-tune quantized Qwen LLMs with minimal accuracy loss. Apr 12, 2025 路 3. fec bcr 4tj nrv fkh awa 5c2 u8y 0jk ibd7 sqoh rrh 3hp rx5n dzke frvg wzs p0pl zik 77m 3h1 juk psg hgi drvs jkxv bekf fa6 zto clq