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Cuda out of memory

#40 opened 9 months ago by

comet24082002

Evaluation for finetuned bge-m3 model

#39 opened 9 months ago by

comet24082002

Adding `safetensors` variant of this model

#38 opened 9 months ago by

SFconvertbot

Got this error: TypeError: SafeTensorsInfo.init() got an unexpected keyword argument 'sharded'

#37 opened 9 months ago by

favioespinosav

Any 'small' version for this model with 384 dimensions ?

#36 opened 9 months ago by

zaobao

Do I need to add the prefix "query: " and "passage: " to input texts?

#35 opened 9 months ago by

zaobao

Endless loop with multiple GPU ?

#34 opened 9 months ago by

Grosper

Using bge-m3 for clustering and search

#33 opened 9 months ago by

talavivi

Will the component models be available separately?

#31 opened 9 months ago by

libryo-ai

Reranker

#30 opened 9 months ago by

Totole

list of languages supported

#29 opened 9 months ago by

andrew123456789

convert token to the original form

#28 opened 10 months ago by

DAIEF

m3需要和base做merge吗

#27 opened 10 months ago by

biaodiluer

Which matrix did you use for Benchmarks from the open-source community

#26 opened 10 months ago by

DAIEF

支持langchain使用bge-m3模型吗？

#25 opened 10 months ago by

Nicole828

This models is also best for Finnish in my comparison

#24 opened 10 months ago by

RASMUS

Code and some results for comparing with other embedding models on multilingual data

#23 opened 10 months ago by

Yannael

入参之间会影响embedding的结果吗

#22 opened 10 months ago by

biaodiluer

关于多阶段训练

#21 opened 10 months ago by

xxxcliu

bge-M3和baai_general_embedding是什么关系

#20 opened 10 months ago by

biaodiluer

How many GPU's are required to fine tuning bge-m3 over 1 million tripplets ?

#18 opened 10 months ago by

wilfoderek

How do you suggest using Colbert vectors ?

#16 opened 10 months ago by

EquinoxElahin

may be little bugs

#14 opened 10 months ago by

prudant

serving the model

#13 opened 10 months ago by

prudant

Datasets

#11 opened 10 months ago by

AbdelkerimDassi

Issue while finetuning embedding model because of use_reentrant = True

#10 opened 11 months ago by

DamianS89

Optimize inference speed

#9 opened 11 months ago by

CoolWP

OOM occurs in the process of converting the model to torchscript. I have a question about this issue.

#8 opened 11 months ago by

LeeJungHoon

Add benchmark to MTEB

#7 opened 11 months ago by

sam-gab

base model

#6 opened 11 months ago by

ambivalent02

It is now working colab..

#5 opened 11 months ago by

LeeJungHoon

中文Dense retrieval性能与BGE V1.5相比如何？

#3 opened 11 months ago by

TianyuLLM

OOMS on 8 GB GPU, is it normal?

#2 opened 11 months ago by

tanimazsin130

Cuda out of memory

Evaluation for finetuned bge-m3 model

Adding `safetensors` variant of this model

Got this error: TypeError: SafeTensorsInfo.__init__() got an unexpected keyword argument 'sharded'

Any 'small' version for this model with 384 dimensions ?

Do I need to add the prefix "query: " and "passage: " to input texts?

Endless loop with multiple GPU ?

Using bge-m3 for clustering and search

Will the component models be available separately?

Reranker

list of languages supported

convert token to the original form

m3需要和base做merge吗

Which matrix did you use for Benchmarks from the open-source community

支持langchain使用bge-m3模型吗？

This models is also best for Finnish in my comparison

Code and some results for comparing with other embedding models on multilingual data

入参之间会影响embedding的结果吗

关于多阶段训练

bge-M3和baai_general_embedding是什么关系

How many GPU's are required to fine tuning bge-m3 over 1 million tripplets ?

How do you suggest using Colbert vectors ?

may be little bugs

serving the model

Datasets

Issue while finetuning embedding model because of use_reentrant = True

Optimize inference speed

OOM occurs in the process of converting the model to torchscript. I have a question about this issue.

Add benchmark to MTEB

base model

It is now working colab..

中文Dense retrieval性能与BGE V1.5相比如何？

OOMS on 8 GB GPU, is it normal?

Got this error: TypeError: SafeTensorsInfo.init() got an unexpected keyword argument 'sharded'