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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>
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//! RWKV v5 model implementation with quantization support.
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//!
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//! RWKV v5 is an attention-free language model optimized for efficiency.
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//! This implementation provides quantization for reduced memory and compute.
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//!
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//! Key characteristics:
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//! - Linear attention mechanism
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//! - GroupNorm layer normalization
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//! - Time-mixing layers
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//! - State-based sequential processing
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//! - Support for 8-bit quantization
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//!
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//! References:
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//! - [RWKV Model](https://github.com/BlinkDL/RWKV-LM)
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//! - [RWKV v5 Architecture](https://www.rwkv.com/v5)
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//!
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use crate::{
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quantized_nn::{layer_norm, linear_no_bias as linear, Embedding, Linear},
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quantized_var_builder::VarBuilder,
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