diff --git a/examples/verifiers/README.md b/examples/verifiers/README.md
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+## Setup
+
+Prepare virtual environment, e.g.
+
+```bash
+python -m venv venv
+source venv/bin/activate
+```
+
+Install dependencies
+
+```bash
+pip install -r requirements.txt
+pip install flash-attn --no-build-isolation
+```
+
+Login to W&B and HuggingFace if desired
+
+```bash
+wandb login
+huggingface-cli login
+```
+
+## Training
+
+Here we assume two GPUs, with one used for inference (vLLM) and the other for training (accelerate). You may need to adjust some settings for different GPU configs.
+
+Run the vLLM server for inference:
+
+```bash
+CUDA_VISIBLE_DEVICES=0 vf-vllm --model Qwen/Qwen2.5-1.5B-Instruct --tensor-parallel-size 1
+```
+
+Run the training script using accelerate:
+
+```bash
+CUDA_VISIBLE_DEVICES=1 accelerate launch --config-file zero3.yaml --num-processes 1 vf_rg.py
+```
diff --git a/examples/verifiers/requirements.txt b/examples/verifiers/requirements.txt
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+verifiers[all]
diff --git a/examples/verifiers/vf_rg.py b/examples/verifiers/vf_rg.py
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+++ b/examples/verifiers/vf_rg.py
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+"""Example training script for using the Reasoning Gym environment in verifiers."""
+
+import verifiers as vf
+from verifiers.envs.reasoninggym_env import ReasoningGymEnv
+
+model_name = f"Qwen/Qwen2.5-1.5B-Instruct"
+model, tokenizer = vf.get_model_and_tokenizer(model_name)
+
+vf_env = ReasoningGymEnv(
+    gym=[
+        "basic_arithmetic",
+        "bitwise_arithmetic",
+        "decimal_arithmetic",
+    ],
+    num_samples=100,
+    num_eval_samples=50,
+    max_concurrent=100,
+)
+
+training_args = vf.grpo_defaults(run_name="reasoning-gym-test")
+training_args.num_iterations = 1
+training_args.per_device_train_batch_size = 4
+training_args.num_generations = 8
+training_args.gradient_accumulation_steps = 4
+training_args.max_prompt_length = 1024
+training_args.max_completion_length = 4096
+training_args.max_steps = 100
+
+trainer = vf.GRPOTrainer(
+    model=model,
+    processing_class=tokenizer,
+    env=vf_env,
+    args=training_args,
+)
+
+trainer.train()
diff --git a/examples/verifiers/zero3.yaml b/examples/verifiers/zero3.yaml
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+compute_environment: LOCAL_MACHINE
+debug: false
+deepspeed_config:
+  deepspeed_multinode_launcher: standard
+  offload_optimizer_device: none
+  offload_param_device: none
+  zero3_init_flag: true
+  zero3_save_16bit_model: true
+  zero_stage: 3
+distributed_type: DEEPSPEED
+downcast_bf16: 'no'
+machine_rank: 0
+main_training_function: main
+mixed_precision: bf16
+num_machines: 1
+num_processes: 1
+rdzv_backend: static
+same_network: true
+tpu_env: []
+tpu_use_cluster: false
+tpu_use_sudo: false
+use_cpu: false