Image-to-Text
Transformers
Safetensors
llava
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
| { | |
| "architectures": [ | |
| "LlavaForConditionalGeneration","MistralForCausalLM" | |
| ], | |
| "ignore_index": -100, | |
| "image_token_index": 32000, | |
| "model_type": "llava", | |
| "projector_hidden_act": "gelu", | |
| "text_config": { | |
| "_name_or_path": "LeroyDyer/_Spydaz_Web_AI_Llava", | |
| "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" | |
| }, | |
| "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": "full" | |
| } | |