Heyang Sun
5184f400f9
Fix Mixtral GGUF Wrong Output Issue ( #9930 )
...
* Fix Mixtral GGUF Wrong Output Issue
* fix style
* fix style
2024-01-18 14:11:27 +08:00
Jinyi Wan
07485eff5a
Add SOLAR-10.7B to README ( #9869 )
2024-01-11 14:28:41 +08:00
ZehuaCao
146076bdb5
Support llm-awq backend ( #9856 )
...
* Support for LLM-AWQ Backend
* fix
* Update README.md
* Add awqconfig
* modify init
* update
* support llm-awq
* fix style
* fix style
* update
* fix AwqBackendPackingMethod not found error
* fix style
* update README
* fix style
---------
Co-authored-by: Uxito-Ada <414416158@qq.com>
Co-authored-by: Heyang Sun <60865256+Uxito-Ada@users.noreply.github.com>
Co-authored-by: cyita <yitastudy@gmail.com>
2024-01-09 13:07:32 +08:00
Mingyu Wei
ed81baa35e
LLM: Use default typing-extension in LangChain examples ( #9857 )
...
* remove typing extension downgrade in readme; minor fixes of code
* fix typos in README
* change default question of docqa.py
2024-01-08 16:50:55 +08:00
Jinyi Wan
3147ebe63d
Add cpu and gpu examples for SOLAR-10.7B ( #9821 )
2024-01-05 09:50:28 +08:00
Wang, Jian4
4ceefc9b18
LLM: Support bitsandbytes config on qlora finetune ( #9715 )
...
* test support bitsandbytesconfig
* update style
* update cpu example
* update example
* update readme
* update unit test
* use bfloat16
* update logic
* use int4
* set defalut bnb_4bit_use_double_quant
* update
* update example
* update model.py
* update
* support lora example
2024-01-04 11:23:16 +08:00
Wang, Jian4
a54cd767b1
LLM: Add gguf falcon ( #9801 )
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* init falcon
* update convert.py
* update style
2024-01-03 14:49:02 +08:00
binbin Deng
6584539c91
LLM: fix installation of codellama ( #9813 )
2024-01-02 14:32:50 +08:00
Wang, Jian4
7ed9538b9f
LLM: support gguf mpt ( #9773 )
...
* add gguf mpt
* update
2023-12-28 09:22:39 +08:00
Jason Dai
361781bcd0
Update readme ( #9788 )
2023-12-26 19:46:11 +08:00
Ziteng Zhang
44b4a0c9c5
[LLM] Correct prompt format of Yi, Llama2 and Qwen in generate.py ( #9786 )
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* correct prompt format of Yi
* correct prompt format of llama2 in cpu generate.py
* correct prompt format of Qwen in GPU example
2023-12-26 16:57:55 +08:00
Heyang Sun
66e286a73d
Support for Mixtral AWQ ( #9775 )
...
* Support for Mixtral AWQ
* Update README.md
* Update README.md
* Update awq_config.py
* Update README.md
* Update README.md
2023-12-25 16:08:09 +08:00
Wang, Jian4
984697afe2
LLM: Add bloom gguf support ( #9734 )
...
* init
* update bloom add merges
* update
* update readme
* update for llama error
* update
2023-12-21 14:06:25 +08:00
Heyang Sun
1fa7793fc0
Load Mixtral GGUF Model ( #9690 )
...
* Load Mixtral GGUF Model
* refactor
* fix empty tensor when to cpu
* update gpu and cpu readmes
* add dtype when set tensor into module
2023-12-19 13:54:38 +08:00
Wang, Jian4
b8437a1c1e
LLM: Add gguf mistral model support ( #9691 )
...
* add mistral support
* need to upgrade transformers version
* update
2023-12-15 13:37:39 +08:00
Wang, Jian4
496bb2e845
LLM: Support load BaiChuan model family gguf model ( #9685 )
...
* support baichuan model family gguf model
* update gguf generate.py
* add verify models
* add support model_family
* update
* update style
* update type
* update readme
* update
* remove support model_family
2023-12-15 13:34:33 +08:00
Lilac09
3afed99216
fix path issue ( #9696 )
2023-12-15 11:21:49 +08:00
Ziteng Zhang
21c7503a42
[LLM] Correct prompt format of Qwen in generate.py ( #9678 )
...
* Change qwen prompt format to chatml
2023-12-14 14:01:30 +08:00
Qiyuan Gong
223c9622f7
[LLM] Mixtral CPU examples ( #9673 )
...
* Mixtral CPU PyTorch and hugging face examples, based on #9661 and #9671
2023-12-14 10:35:11 +08:00
ZehuaCao
877229f3be
[LLM]Add Yi-34B-AWQ to verified AWQ model. ( #9676 )
...
* verfiy Yi-34B-AWQ
* update
2023-12-14 09:55:47 +08:00
ZehuaCao
503880809c
verfiy codeLlama ( #9668 )
2023-12-13 15:39:31 +08:00
Heyang Sun
c64e2248ef
fix str returned by get_int_from_str rather than expected int ( #9667 )
2023-12-13 11:01:21 +08:00
ZehuaCao
45721f3473
verfiy llava ( #9649 )
2023-12-11 14:26:05 +08:00
Heyang Sun
9f02f96160
[LLM] support for Yi AWQ model ( #9648 )
2023-12-11 14:07:34 +08:00
ZehuaCao
6eca8a8bb5
update transformer version ( #9631 )
2023-12-08 09:36:00 +08:00
Heyang Sun
3811cf43c9
[LLM] update AWQ documents ( #9623 )
...
* [LLM] update AWQ and verified models' documents
* refine
* refine links
* refine
2023-12-07 16:02:20 +08:00
Jason Dai
51b668f229
Update GGUF readme ( #9611 )
2023-12-06 18:21:54 +08:00
dingbaorong
a7bc89b3a1
remove q4_1 in gguf example ( #9610 )
...
* remove q4_1
* fixes
2023-12-06 16:00:05 +08:00
dingbaorong
89069d6173
Add gpu gguf example ( #9603 )
...
* add gpu gguf example
* some fixes
* address kai's comments
* address json's comments
2023-12-06 15:17:54 +08:00
Ziteng Zhang
aeb77b2ab1
Add minimum Qwen model version ( #9606 )
2023-12-06 11:49:14 +08:00
Heyang Sun
4e70e33934
[LLM] code and document for distributed qlora ( #9585 )
...
* [LLM] code and document for distributed qlora
* doc
* refine for gradient checkpoint
* refine
* Update alpaca_qlora_finetuning_cpu.py
* Update alpaca_qlora_finetuning_cpu.py
* Update alpaca_qlora_finetuning_cpu.py
* add link in doc
2023-12-06 09:23:17 +08:00
Jinyi Wan
b721138132
Add cpu and gpu examples for BlueLM ( #9589 )
...
* Add cpu int4 example for BlueLM
* addexample optimize_model cpu for bluelm
* add example gpu int4 blueLM
* add example optimiza_model GPU for bluelm
* Fixing naming issues and BigDL package version.
* Fixing naming issues...
* Add BlueLM in README.md "Verified Models"
2023-12-05 13:59:02 +08:00
Wang, Jian4
ed0dc57c6e
LLM: Add cpu qlora support other models guide ( #9567 )
...
* use bf16 flag
* add using baichuan model
* update merge
* remove
* update
2023-12-01 11:18:04 +08:00
Jason Dai
bda404fc8f
Update readme ( #9575 )
2023-11-30 22:45:52 +08:00
Yishuo Wang
66f5b45f57
[LLM] add a llama2 gguf example ( #9553 )
2023-11-30 16:37:17 +08:00
Wang, Jian4
a0a80d232e
LLM: Add qlora cpu distributed readme ( #9561 )
...
* init readme
* add distributed guide
* update
2023-11-30 13:42:30 +08:00
Qiyuan Gong
d85a430a8c
Uing bigdl-llm-init instead of bigdl-nano-init ( #9558 )
...
* Replace `bigdl-nano-init` with `bigdl-llm-init`.
* Install `bigdl-llm` instead of `bigdl-nano`.
* Remove nano in README.
2023-11-30 10:10:29 +08:00
Wang, Jian4
b824754256
LLM: Update for cpu qlora mpirun ( #9548 )
2023-11-29 10:56:17 +08:00
Guancheng Fu
963a5c8d79
Add vLLM-XPU version's README/examples ( #9536 )
...
* test
* test
* fix last kv cache
* add xpu readme
* remove numactl for xpu example
* fix link error
* update max_num_batched_tokens logic
* add explaination
* add xpu environement version requirement
* refine gpu memory
* fix
* fix style
2023-11-28 09:44:03 +08:00
Guancheng Fu
b6c3520748
Remove xformers from vLLM-CPU ( #9535 )
2023-11-27 11:21:25 +08:00
binbin Deng
6bec0faea5
LLM: support Mistral AWQ models ( #9520 )
2023-11-24 16:20:22 +08:00
Jason Dai
b3178d449f
Update README.md ( #9525 )
2023-11-23 21:45:20 +08:00
Jason Dai
064848028f
Update README.md ( #9523 )
2023-11-23 21:16:21 +08:00
Guancheng Fu
bf579507c2
Integrate vllm ( #9310 )
...
* done
* Rename structure
* add models
* Add structure/sampling_params,sequence
* add input_metadata
* add outputs
* Add policy,logger
* add and update
* add parallelconfig back
* core/scheduler.py
* Add llm_engine.py
* Add async_llm_engine.py
* Add tested entrypoint
* fix minor error
* Fix everything
* fix kv cache view
* fix
* fix
* fix
* format&refine
* remove logger from repo
* try to add token latency
* remove logger
* Refine config.py
* finish worker.py
* delete utils.py
* add license
* refine
* refine sequence.py
* remove sampling_params.py
* finish
* add license
* format
* add license
* refine
* refine
* Refine line too long
* remove exception
* so dumb style-check
* refine
* refine
* refine
* refine
* refine
* refine
* add README
* refine README
* add warning instead error
* fix padding
* add license
* format
* format
* format fix
* Refine vllm dependency (#1 )
vllm dependency clear
* fix licence
* fix format
* fix format
* fix
* adapt LLM engine
* fix
* add license
* fix format
* fix
* Moving README.md to the correct position
* Fix readme.md
* done
* guide for adding models
* fix
* Fix README.md
* Add new model readme
* remove ray-logic
* refactor arg_utils.py
* remove distributed_init_method logic
* refactor entrypoints
* refactor input_metadata
* refactor model_loader
* refactor utils.py
* refactor models
* fix api server
* remove vllm.stucture
* revert by txy 1120
* remove utils
* format
* fix license
* add bigdl model
* Refer to a specfic commit
* Change code base
* add comments
* add async_llm_engine comment
* refine
* formatted
* add worker comments
* add comments
* add comments
* fix style
* add changes
---------
Co-authored-by: xiangyuT <xiangyu.tian@intel.com>
Co-authored-by: Xiangyu Tian <109123695+xiangyuT@users.noreply.github.com>
Co-authored-by: leonardozcm <leonardo1997zcm@gmail.com>
2023-11-23 16:46:45 +08:00
Heyang Sun
48fbb1eb94
support ccl (MPI) distributed mode in alpaca_qlora_finetuning_cpu ( #9507 )
2023-11-23 10:58:09 +08:00
Heyang Sun
11fa5a8a0e
Fix QLoRA CPU dispatch_model issue about accelerate ( #9506 )
2023-11-23 08:41:25 +08:00
Heyang Sun
1453046938
install bigdl-llm in deepspeed cpu inference example ( #9508 )
2023-11-23 08:39:21 +08:00
binbin Deng
86743fb57b
LLM: fix transformers version in CPU finetuning example ( #9511 )
2023-11-22 15:53:07 +08:00
Wang, Jian4
c5cb3ab82e
LLM : Add CPU alpaca qlora example ( #9469 )
...
* init
* update xpu to cpu
* update
* update readme
* update example
* update
* add refer
* add guide to train different datasets
* update readme
* update
2023-11-21 09:19:58 +08:00
binbin Deng
96fd26759c
LLM: fix QLoRA finetuning example on CPU ( #9489 )
2023-11-20 14:31:24 +08:00
