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Documentation Pass for Models (#2617)

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* 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>
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zachcp
2024-11-15 02:30:15 -05:00
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parent 0ed24b9852
commit f689ce5d39
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candle-transformers/src/models/quantized_llama2_c.rs
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//! Quantized Llama2 model implementation.
//!
//! This provides an 8-bit quantized implementation of Meta's LLaMA2 language model
//! for reduced memory usage and faster inference.
//!
//! Key characteristics:
//! - Decoder-only transformer architecture
//! - RoPE position embeddings
//! - Grouped Query Attention
//! - 8-bit quantization of weights
//!
//! References:
//! - [LLaMA2 Paper](https://arxiv.org/abs/2307.09288)
//! - [LLaMA2 Technical Report](https://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/)
//!
use super::llama2_c::{Cache, Config};
use crate::quantized_nn::{linear_no_bias as linear, Embedding, Linear, RmsNorm};
pub use crate::quantized_var_builder::VarBuilder;