Documentation Pass for Models (#2617)

* links in chinese_clip

* links for clip model

* add mod docs for flux and llava

* module doc for MMDIT and MIMI

* add docs for a few more modesl

* mod docs for bert naser and beit

* add module docs for convmixer colpali codegeex and chatglm

* add another series of moddocs

* add  fastvit-llama2_c

* module docs mamba -> mobileone

* module docs from moondream-phi3

* mod docs for quantized and qwen

* update to yi

* fix long names

* Update llama2_c.rs

* Update llama2_c_weights.rs

* Fix the link for mimi + tweaks

---------

Co-authored-by: Laurent Mazare <laurent.mazare@gmail.com>

candle-transformers/src/models/quantized_blip.rs

@@ -1,3 +1,19 @@
+//! BLIP model implementation with quantization support.
+//!
+//! BLIP is a vision-language model for image understanding and generation tasks.
+//! This implementation provides quantization for reduced memory and compute.
+//!
+//! Key characteristics:
+//! - Vision encoder using ViT architecture
+//! - Text decoder using BERT-style transformer
+//! - Cross-attention between vision and text features
+//! - Support for 8-bit quantization
+//!
+//! References:
+//! - [BLIP Paper](https://arxiv.org/abs/2201.12086)
+//! - [Hugging Face Implementation](https://huggingface.co/docs/transformers/model_doc/blip)
+//!
+
 use super::quantized_blip_text as blip_text;
 use crate::quantized_nn::{layer_norm, linear, Linear};
 pub use crate::quantized_var_builder::VarBuilder;