# Hidden State Extraction The Hidden State Extraction feature allows vLLM to save intermediate layer activations from a target model during inference. This is useful for training [EAGLE](eagle.md)-style draft models, knowledge distillation, or offline analysis of model internals. !!! note It is possible to save the last-layer's output hidden states by passing `num_hidden_layers` as a layer id. Note that these are _not_ normalized using the output norm. ## Offline Example ```python import tempfile from vllm import LLM, SamplingParams from vllm.config.kv_transfer import KVTransferConfig from vllm.distributed.kv_transfer.kv_connector.v1 import ( example_hidden_states_connector, ) with tempfile.TemporaryDirectory() as tmpdir: llm = LLM( model="Qwen/Qwen3-8B", speculative_config={ "method": "extract_hidden_states", "num_speculative_tokens": 1, "draft_model_config": { "hf_config": { "eagle_aux_hidden_state_layer_ids": [1, 2, 3, 4], }, }, }, kv_transfer_config=KVTransferConfig( kv_connector="ExampleHiddenStatesConnector", kv_role="kv_producer", kv_connector_extra_config={ "shared_storage_path": tmpdir, }, ), ) outputs = llm.generate( ["The future of AI is"], SamplingParams(max_tokens=1), ) for output in outputs: path = output.kv_transfer_params["hidden_states_path"] obj = example_hidden_states_connector.load_hidden_states(path) print(f"token_ids: {obj['token_ids'].shape}") print(f"hidden_states: {obj['hidden_states'].shape}") ``` A complete example is available at [`examples/features/speculative_decoding/extract_hidden_states_offline.py`](../../../examples/features/speculative_decoding/extract_hidden_states_offline.py). ## Online Example For improved performance, it is recommended to use a RAM-mounted file system such as `/dev/shm/` for online usage in which the client cleans up the files soon after they are generated. ```bash vllm serve Qwen/Qwen3-8B \ --speculative_config '{"method": "extract_hidden_states", "num_speculative_tokens": 1, "draft_model_config": {"hf_config": {"eagle_aux_hidden_state_layer_ids": [1, 2, 3, 4]}}}' \ --kv_transfer_config '{"kv_connector": "ExampleHiddenStatesConnector", "kv_role": "kv_producer", "kv_connector_extra_config": {"shared_storage_path": "/dev/shm/hidden_states"}}' ``` ## Per-Request Options Both offline and online modes support per-request options via `kv_transfer_params`: | Parameter | Default | Description | | --- | --- | --- | | `hidden_states_path` | Auto-generated | Custom file path for saving hidden states. If not set, files are saved to `/.safetensors`. Requires `allow_custom_save_path` to be enabled in the server config. | | `include_output_tokens` | `False` | When `True`, save hidden states for both prompt and generated output tokens. When `False`, only prompt token hidden states are saved. | ### Offline usage Pass per-request options via `extra_args` on `SamplingParams`: ```python SamplingParams( max_tokens=32, extra_args={ "kv_transfer_params": { "hidden_states_path": "/tmp/my_output.safetensors", "include_output_tokens": True, } }, ) ``` ### Online usage Pass `kv_transfer_params` as a top-level field in the API request: ```json { "model": "Qwen/Qwen3-8B", "messages": [{"role": "user", "content": "Hello"}], "max_tokens": 32, "kv_transfer_params": { "hidden_states_path": "/tmp/my_output.safetensors", "include_output_tokens": true } } ``` ## Configuration The `kv_connector_extra_config` dict accepts these server-level options: | Parameter | Default | Description | | --- | --- | --- | | `shared_storage_path` | `/tmp` | Directory where hidden state files are saved (used when `hidden_states_path` is not set per-request) | | `allow_custom_save_path` | `False` | Allow API clients to specify custom file paths via `hidden_states_path`. When disabled, client-provided paths are ignored with a warning. Enable only with trusted clients — custom paths can write to arbitrary locations on the server. | | `num_writer_threads` | `8` | Thread pool size for async disk writes | | `use_synchronization_lock` | `True` | Use file locks so concurrent readers block until writes complete. Can be disabled for batch generation where synchronization is not needed. | ## Output Format Each request produces a `.safetensors` file containing: - **`hidden_states`** — shape `[num_tokens, num_extracted_layers, hidden_size]` - **`token_ids`** — shape `[num_tokens]` The file path is returned in `output.kv_transfer_params["hidden_states_path"]`. Use `load_hidden_states()` from the connector module to read the file with proper synchronization. !!! note Chunked prefill is not compatible with this feature and must be disabled.