3 Commits

Author	SHA1	Message	Date
drbh	6cb42f49ae	feat: support lora revisions and qkv_proj weights (#2482) ... * feat: support lora revisions and qkv_proj weights * fix: add qkv_proj weights to weight test	2024-09-02 13:09:06 -04:00
drbh	5d85a958c9	fix: refactor adapter weight loading and mapping (#2193) ... * fix: refactor adapter weight loading and mapping * feat: enable lora load from directory * fix: adjust launcher for local lora adapters * feat: improve weight loading and add tests * fix: improve logging and rebase syntax issue * fix: impove adapter merge comments and remove unused conditional * fix: improve get_model_with_lora_adapters naming * fix: comment typo	2024-07-24 15:32:14 -04:00
drbh	04e1af94d7	Enable multiple LoRa adapters (#2010) ... * feat: first draft load multiple lora * feat: load weights within layer and refactor lora pass * fix: refactor and reduce lora math * feat: baseline impl single request multi lora support * feat: prefer lorax implementation and port loading logic * fix: prefer adapter_data and refactors * feat: perfer loraxs custom punica kernels and add mlp loras * fix: adjust batch for bgmv * fix: adjust adapter_segments logic when in batch * fix: refactor and move changes to v3 proto * fix: pass model_id for all flash causal lms * fix: pass model_id for all causal and seq2seq lms * fix: add model_id to model test * feat: add lora support to mistral and refactors * feat: prefer model id in request * fix: include rust code for adapter id * feat: bump launcher and add new lora docs * feat: support base model generation and refactors * fix: rename doc to retry ci build * feat: support if vlm models * fix: add adapter_data param and avoid missing layers * fix: add adapter_data param to phi and neox * fix: update all models forwards to include adapter_data * fix: add model_id to IdeficsCausalLM * Update lora.md Fixed a typo * Update lora.md Fixing spam image * fix: add lora kernel to dockerfile, support running without kernels and refactors * fix: avoid dockerfile conflict * fix: refactors and adjust flash llama lora logic * fix: skip llama test due to CI issue (temp) * fix: skip llama test CI (temp) 2 * fix: revert skips and prefer updated ci token for tests * fix: refactors and helpful comments * fix: add noop in TensorParallelAdapterRowLinear too * fix: refactor and move shard_lora_weights logic * fix: exit early if no adapter_data --------- Co-authored-by: Derek <datavistics@gmail.com>	2024-06-25 14:46:27 -04:00