Use lower-bounds for tpu-post-train dependencies

[bvandermoon]

Description

Replace strict dependency matching with lower-bounds for the post-training dependencies. We already use these in the pre-training dependencies.

Tests

Ran this on a clean venv:

uv pip install -e .[tpu-post-train] --resolution=lowest
install_maxtext_tpu_post_train_github_deps

# We will try to move this to the `install_maxtext_tpu_post_train_github_deps` script
uv pip install src/maxtext/integration/vllm --no-deps


export HF_TOKEN=<hf_token>
export WORKLOAD=gemma3_rl_5
export OUTPUT_PATH=<gcs_bucket>

NEW_MODEL_DESIGN=1 TPU_BACKEND_TYPE=jax python3 -m src.maxtext.trainers.post_train.rl.train_rl src/maxtext/configs/post_train/rl.yml \
  model_name=gemma3-4b \
  tokenizer_path=google/gemma-3-4b-it \
  run_name=$WORKLOAD \
  base_output_directory=$OUTPUT_PATH \
  hf_access_token=$HF_TOKEN \
  batch_size=4 \
  num_batches=5 \
  scan_layers=False \
  hbm_utilization_vllm=0.4 \
  rollout_data_parallelism=2 \
  rollout_tensor_parallelism=2 \
  allow_split_physical_axes=true \
load_parameters_path=<gcs_checkpoint_path> \
vllm_hf_overrides='{architectures: ["MaxTextForCausalLM"]}' \
vllm_additional_config='{"maxtext_config": {"model_name": "gemma3-4b", "log_config": "false"}}' 2>&1 | tee  grpo_out_gemma3.txt

Checklist

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• I have performed a self-review of my code. For an optional AI review, add the gemini-review label.
• I have necessary comments in my code, particularly in hard-to-understand areas.
• I have run end-to-end tests tests and provided workload links above if applicable.
• I have made or will make corresponding changes to the doc if needed, including adding new documentation pages to the relevant Table of Contents (toctree directive) as explained in our documentation.

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.

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