Code
Hub
Workspaces
Following
Trending
Connect
MCP
copy
Create free account
hub
/
github.com/LLaVA-Annonymous/LLaVA
/ types & classes
Types & classes
38 in github.com/LLaVA-Annonymous/LLaVA
⨍
Functions
275
◇
Types & classes
38
↳
Endpoints
9
↓ 12 callers
Class
Conversation
A class that keeps all conversation history.
llava/conversation.py:14
↓ 2 callers
Class
KeywordsStoppingCriteria
llava/eval/model_vqa_science.py:92
↓ 2 callers
Class
StreamToLogger
Fake file-like stream object that redirects writes to a logger instance.
llava/utils.py:60
↓ 1 callers
Class
Controller
llava/serve/controller.py:57
↓ 1 callers
Class
DataCollatorForSupervisedDataset
Collate examples for supervised fine-tuning.
llava/train/train.py:486
↓ 1 callers
Class
KeywordsStoppingCriteria
llava/model/utils.py:26
↓ 1 callers
Class
KeywordsStoppingCriteria
llava/eval/model_qa.py:14
↓ 1 callers
Class
KeywordsStoppingCriteria
llava/eval/model_vqa.py:131
↓ 1 callers
Class
LLaVATrainer
llava/train/llava_trainer.py:23
↓ 1 callers
Class
LlavaLlamaModel
llava/model/llava.py:40
↓ 1 callers
Class
LlavaMPTModel
llava/model/llava_mpt.py:44
↓ 1 callers
Class
MPTBlock
llava/model/mpt/blocks.py:20
↓ 1 callers
Class
MPTMLP
llava/model/mpt/blocks.py:8
↓ 1 callers
Class
MPTModel
llava/model/mpt/modeling_mpt.py:30
↓ 1 callers
Class
ModelWorker
llava/serve/model_worker.py:103
↓ 1 callers
Class
WorkerInfo
llava/serve/controller.py:43
Class
AutoTokenizerForMOD
AutoTokenizer + Adaptation for MOD. A simple wrapper around AutoTokenizer to make instantiating an MOD-adapted tokenizer a bit easier. M
llava/model/mpt/adapt_tokenizer.py:25
Class
Chatbot
Displays a chatbot output showing both user submitted messages and responses. Supports a subset of Markdown including bold, italics, code, and im
llava/serve/gradio_patch.py:17
Class
DataArguments
llava/train/train.py:63
Class
DispatchMethod
llava/serve/controller.py:28
Class
LPLayerNorm
llava/model/mpt/norm.py:14
Class
LPRMSNorm
llava/model/mpt/norm.py:46
Class
LazySupervisedDataset
Dataset for supervised fine-tuning.
llava/train/train.py:411
Class
LlavaConfig
llava/model/llava.py:36
Class
LlavaLlamaForCausalLM
llava/model/llava.py:188
Class
LlavaMPTConfig
llava/model/llava_mpt.py:40
Class
LlavaMPTForCausalLM
llava/model/llava_mpt.py:173
Class
MPTConfig
llava/model/mpt/configuration_mpt.py:7
Class
MPTForCausalLM
llava/model/mpt/modeling_mpt.py:220
Class
MPTPreTrainedModel
llava/model/mpt/modeling_mpt.py:26
Class
ModelArguments
llava/train/train.py:51
Class
MultiQueryAttention
Multi-Query self attention. Using torch or triton attention implemetation enables user to also use additive bias.
llava/model/mpt/attention.py:174
Class
MultiheadAttention
Multi-head self attention. Using torch or triton attention implemetation enables user to also use additive bias.
llava/model/mpt/attention.py:115
Class
RMSNorm
llava/model/mpt/norm.py:33
Class
SeparatorStyle
Different separator style.
llava/conversation.py:6
Class
SupervisedDataset
Dataset for supervised fine-tuning.
llava/train/train.py:388
Class
TrainingArguments
llava/train/train.py:75
Class
_Keywords
llava/serve/gradio_patch.py:11