Visual Question Answering
Transformers
Safetensors
llava_next
image-text-to-text
mergekit
Merge
Mistral_Star
Mistral_Quiet
Mistral
Mixtral
Question-Answer
Token-Classification
Sequence-Classification
SpydazWeb-AI
chemistry
biology
legal
code
climate
medical
LCARS_AI_StarTrek_Computer
text-generation-inference
chain-of-thought
tree-of-knowledge
forest-of-thoughts
visual-spacial-sketchpad
alpha-mind
knowledge-graph
entity-detection
encyclopedia
wikipedia
stack-exchange
Reddit
Cyber-series
MegaMind
Cybertron
SpydazWeb
Spydaz
LCARS
star-trek
mega-transformers
Mulit-Mega-Merge
Multi-Lingual
Afro-Centric
African-Model
Ancient-One
Inference Endpoints
{ | |
"architectures": [ | |
"LlavaNextForConditionalGeneration" | |
], | |
"ignore_index": -100, | |
"image_grid_pinpoints": [ | |
[ | |
336, | |
672 | |
], | |
[ | |
672, | |
336 | |
], | |
[ | |
672, | |
672 | |
], | |
[ | |
1008, | |
336 | |
], | |
[ | |
336, | |
1008 | |
] | |
], | |
"image_token_index": 32000, | |
"model_type": "llava_next", | |
"projector_hidden_act": "gelu", | |
"text_config": { | |
"_name_or_path": "LeroyDyer/_Spydaz_Web_AI_LlavaNext", | |
"architectures": [ | |
"MistralForCausalLM" | |
], | |
"head_dim": 128, | |
"intermediate_size": 14336, | |
"max_position_embeddings": 524288, | |
"model_type": "mistral", | |
"num_key_value_heads": 8, | |
"pad_token_id": 0, | |
"rms_norm_eps": 1e-05, | |
"rope_scaling": null, | |
"rope_theta": 75000000.0, | |
"sliding_window": null, | |
"torch_dtype": "bfloat16", | |
"unsloth_version": "2024.8" | |
}, | |
"tie_word_embeddings": false, | |
"torch_dtype": "float16", | |
"transformers_version": "4.44.2", | |
"vision_config": { | |
"dropout": 0.0, | |
"hidden_size": 768, | |
"image_size": 224, | |
"intermediate_size": 3072, | |
"model_type": "clip_vision_model", | |
"num_attention_heads": 12, | |
"num_hidden_layers": 12, | |
"patch_size": 32, | |
"projection_dim": 512 | |
}, | |
"vision_feature_layer": -2, | |
"vision_feature_select_strategy": "default" | |
} | |