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/qwen2_moe.rs

@@ -1,3 +1,21 @@
+//! Qwen2 model implementation with Mixture of Experts support.
+//!
+//! Qwen2 is a large language model using sparse Mixture of Experts (MoE).
+//! This implementation provides support for sparsely activated MoE layers.
+//!
+//! Key characteristics:
+//! - Mixture of Experts architecture
+//! - Sparse expert activation
+//! - Shared expert routing mechanism
+//! - Grouped query attention (GQA)
+//! - RMSNorm for layer normalization
+//! - Rotary positional embeddings (RoPE)
+//!
+//! References:
+//! - [Qwen2 Paper](https://arxiv.org/abs/2401.08985)
+//! - [Model Card](https://huggingface.co/Qwen/Qwen2-7B-beta)
+//!
+
 use crate::models::with_tracing::{linear, linear_no_bias, Linear, RmsNorm};
 use candle::{DType, Device, Module, Result, Tensor, D};
 use candle_nn::{Activation, VarBuilder};