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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
committed by GitHub
parent 0ed24b9852
commit f689ce5d39
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17
candle-transformers/src/models/quantized_mistral.rs
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@ -1,3 +1,20 @@
//! Mistral model implementation with quantization support.
//!
//! Mistral is a large language model optimized for efficiency.
//! This implementation provides quantization for reduced memory and compute.
//!
//! Key characteristics:
//! - Sliding window attention mechanism
//! - Grouped query attention (GQA)
//! - RMSNorm for layer normalization
//! - Rotary positional embeddings (RoPE)
//! - Support for 8-bit quantization
//!
//! References:
//! - [Mistral Paper](https://arxiv.org/abs/2310.06825)
//! - [Model Card](https://huggingface.co/mistralai/Mistral-7B-v0.1)
//!
use crate::quantized_nn::{linear_no_bias, Embedding, Linear, RmsNorm};
pub use crate::quantized_var_builder::VarBuilder;
use candle::{DType, Device, Module, Result, Tensor, D};