5 Commits (df6fdd2d0b2c138316d40a519b9ef6078fe04a20)

Author	SHA1	Message	Date
Alexander Borzunov	cb3f018f9f	Add LLaMA support (#323) ... This PR: 1. **Abolishes the model conversion procedure.** Now, models are downloaded directly from original repositories like https://huggingface.co/bigscience/bloom. Servers download only shards with blocks to be hosted, and clients download only shards with input/output embeddings and layernorms. - BLOOM is loaded from `bigscience/bloom`, but we use the DHT prefix `bigscience/bloom-petals` for backward compatibility. Same with smaller BLOOMs and BLOOMZ. - LLaMA can be loaded from any repo like `username/llama-65b-hf`, but we use the DHT prefix `llama-65b-hf` (without the username) to accomodate blocks from different repos (there're a few of them with minor differences, such as `Llama` vs. `LLaMA` in the class name). 2. **Refactors the client to generalize it for multiple models.** Now, we have `petals.models` packages that contain model-specific code (e.g. `petals.models.bloom`, `petals.models.llama`). General code (e.g. CPU-efficient LM head, p-tuning) is kept in `petals.client`. 3. **Introduces** `WrappedLlamaBlock`, `DistributedLlamaConfig`, `DistributedLlamaForCausalLM`, `DistributedLlamaForSequenceClassification`, and `DistributedLlamaModel` compatible with Petals functionality (p-tuning, adapters, etc.). 4. **Introduces** `AutoDistributedConfig` that automatically chooses the correct config class (`DistributedLlamaConfig` or `DistributedBloomConfig`). The refactored configs contain all model-specific info for both clients and servers. Upgrade instructions: - Remove disk caches for blocks in old (converted) format to save disk space. That is, remove `~/.cache/petals/model--bigscience--bloom-petals` and `~/.cache/petals/model--bigscience--bloomz-petals` directories (if present).	1 year ago
Max Ryabinin	3e7ae5116d	Remove unused imports and attributes (#324) ... * Remove unused imports and attributes	1 year ago
Alexander Borzunov	8f6342a861	Refactor RemoteSequenceManager (#309) ... This PR: 1. **Extracts `SequenceManagerConfig` and `SequenceManagerState` subclasses.** The config is provided by caller and never changed from inside `RemoteSequenceManager`. The state is a part of the `RemoteSequenceManager`'s state shared between the main manager and its slices. We fix some slicing bugs along the way. 2. **Removes `dht_prefix` and `p2p` arguments, makes `dht` argument optional.** `dht_prefix` can always be overridden using `config.dht_prefix`. `p2p` actually needed only under the hood of `RemoteSequenceManager`, so it can extract it by itself without exposing this low-level class to callers. If strictly necessary, a caller can provide `p2p` as a part of `SequenceManagerState`. `dht` is also needed only by `RemoteSequenceManager`, so we can make it optional in the parent classes and create it automatically when it's not provided. 3. **Simplifies retry logic.** Previously, we could have "nested" retry loops: one in `._update()`, another in inference/forward/backward steps. The loop in `._update()` could introduce issues to concurrent inference/forward/backward calls, since it blocks the entire class if its delay period becomes too high. Now this logic is simplified: `._update()` performs only one attempt to fetch the DHT info, any retries are triggered by the inference/forward/backward steps. 4. **Removes deprecated `RemoteTransformerBlock`.** `RemoteTransformerBlock` was deprecated a long time ago, before Petals 1.0.0. Its removal is long due. 5. **Removes `dht_utils.get_remote_module()`, `dht_utils.get_remote_sequence()`.** This functions duplicate the functionality of the `RemoteSequential` constructor. 6. (minor) **Removes `RemoteSequential.is_subsequence` flag.** This flag worked incorrectly and was never used. I am removing it for the sake of simplicity.	1 year ago
Max Ryabinin	793726b041	Speed up loading blocks using init with meta weights (#285) ... * Init WrappedBloomBlock with meta weights --------- Co-authored-by: Alexander Borzunov <borzunov.alexander@gmail.com>	2 years ago
justheuristic	5f58f00649	Return available cache size in rpc_info() (#191) ... This PR makes servers return their free cache (in tokens * layers to make it compression-agnostic) To be used when calling make_sequence(optimize="inference")	2 years ago