Commit Graph

14 Commits

Author SHA1 Message Date
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
Nicolas Patry f871f114ca
Fixing the download strategy for ibm-fms (#1917)
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2024-05-18 13:31:24 +02:00
Nicolas Patry bf700e7eef
Revamp medusa implementation so that every model can benefit. (#1588)
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2024-02-26 19:49:28 +01:00
Nicolas Patry 529d7c2591
Fix local load for peft (#1373)
local directory overloaded still needs the directory to locate the
weights files correctly.

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2023-12-21 17:29:23 +01:00
OlivierDehaene 564199bab3
feat: update exllamav2 kernels (#1370)
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2023-12-21 17:25:22 +01:00
Nicolas Patry eb8923a97e
Peft safetensors. (#1364)
Works by removing adapter_model.safetensors from being detected as the
core model file (which skips the real peft detection).

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2023-12-20 15:37:14 +01:00
OlivierDehaene 8428ed1011
fix: fix offline (#1341) (#1347)
@oOraph

---------

Signed-off-by: Raphael Glon <oOraph@users.noreply.github.com>
Co-authored-by: Raphael Glon <oOraph@users.noreply.github.com>
2023-12-18 10:20:08 +01:00
Nicolas Patry 776d150c55
feat(server): Adding new ignore_rule for conversion. (#485) 2023-06-23 12:41:13 +02:00
OlivierDehaene ece7ffa40a
feat(server): improve flash attention import errors (#465)
@lewtun, is this enough?

Closes #458
Closes #456
2023-06-19 09:53:45 +02:00
OlivierDehaene 6abec14a7e
feat(server): batch tokenization for flash causal lm (#411) 2023-06-05 16:09:41 +02:00
OlivierDehaene 87dc034b59
feat(server): add retry on download (#384) 2023-05-31 10:57:53 +02:00
OlivierDehaene 85aa7e2e7b
feat(server): support hf endpoint weight layout (#266) 2023-05-03 11:36:24 +02:00
OlivierDehaene f26dfd0dc1
feat(server): support OPT models (#55)
OPT models do not all have a `tokenizer.json` file on the hub at the
moment. Can't merge for now.
2023-04-11 19:16:41 +02:00
OlivierDehaene 3fef90d50f
feat(clients): Python client (#103) 2023-03-07 18:52:22 +01:00