pub struct WgpuModelState {Show 14 fields
pub layers: Vec<Nf4LayerWeights>,
pub lora: Vec<LoraLayerSet>,
pub lm_head: Vec<f32>,
pub lm_head_m: Vec<f32>,
pub lm_head_v: Vec<f32>,
pub hidden_size: usize,
pub num_layers: usize,
pub vocab_size: usize,
pub num_heads: usize,
pub num_kv_heads: usize,
pub head_dim: usize,
pub intermediate_size: usize,
pub ffn_cache: Vec<Option<(Vec<f32>, Vec<f32>, Vec<f32>)>>,
pub attn_cache: Vec<Option<(Vec<f32>, Vec<f32>, Vec<f32>, Vec<f32>)>>,
}Expand description
Full model state for WGPU training
Holds NF4 weights + LoRA adapters for all layers. Per-layer dequant strategy: only one layer’s fp32 weights in VRAM at a time.
Fields§
§layers: Vec<Nf4LayerWeights>NF4 weights per layer (compact, stays in CPU RAM)
lora: Vec<LoraLayerSet>LoRA Q adapters per layer (trainable, fp32) LoRA adapters per layer (7 projections: Q/K/V/O/gate/up/down)
lm_head: Vec<f32>LM head weight [vocab_size, hidden_size] fp32
lm_head_m: Vec<f32>LM head optimizer state
lm_head_v: Vec<f32>Config
num_layers: usize§vocab_size: usize§num_heads: usize§num_kv_heads: usize§head_dim: usize§intermediate_size: usize§ffn_cache: Vec<Option<(Vec<f32>, Vec<f32>, Vec<f32>)>>Cached dequanted FFN weights per layer: (gate, up, down) fp32
attn_cache: Vec<Option<(Vec<f32>, Vec<f32>, Vec<f32>, Vec<f32>)>>Implementations§
Source§impl WgpuModelState
impl WgpuModelState
Sourcepub fn load_qwen3_4b(
model_dir: &Path,
lora_rank: u32,
_lora_alpha: f32,
) -> Result<Self, String>
pub fn load_qwen3_4b( model_dir: &Path, lora_rank: u32, _lora_alpha: f32, ) -> Result<Self, String>
Load Qwen3-4B model from safetensors directory
Quantizes all weights to NF4 (stays in CPU RAM). Creates LoRA adapters for Q and V projections.
§Contract (C-WGPU-TRAIN-003)
Sourcepub fn populate_weight_cache(
&mut self,
device: &GpuDevice,
) -> Result<(), String>
pub fn populate_weight_cache( &mut self, device: &GpuDevice, ) -> Result<(), String>
Populate weight caches (pre-transposed for standard matmul).
Sourcepub fn trainable_params(&self) -> usize
pub fn trainable_params(&self) -> usize
Total trainable parameters
pub fn save_checkpoint( &self, dir: &Path, step: u32, loss: f32, rank: u32, alpha: f32, ) -> Result<PathBuf, String>
Auto Trait Implementations§
impl Freeze for WgpuModelState
impl RefUnwindSafe for WgpuModelState
impl Send for WgpuModelState
impl Sync for WgpuModelState
impl Unpin for WgpuModelState
impl UnsafeUnpin for WgpuModelState
impl UnwindSafe for WgpuModelState
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