feat(lora): runtime BF16 LoRA adapter MVP (M0 + M1-attention)

.gitignore

@@ -128,3 +128,6 @@ bench/**/*.jsonl
 bench/**/*.csv
 bench/**/*.pid
 bench/fp8_dgx2_drift/harness/oc
+
+# LoRA MVP: large fp32 reference deltas (regenerate via scripts/reference_deltas.py in seconds)
+test_data/lora-holo-tiny*/reference_deltas.safetensors

crates/atlas-core/src/config.rs

@@ -382,6 +382,14 @@ pub struct ModelConfig {
     /// is what the drafter's `fc` projection expects.
     #[serde(default)]
     pub dflash_capture_layers: Vec<usize>,
+
+    /// LoRA adapter rank ceiling (`--max-lora-rank`). `0` = LoRA disabled.
+    /// Set programmatically before model build (never parsed from the HF
+    /// `config.json`); the only consumer is `BufferSizes`, which sizes the
+    /// adapter delta scratch from it. `adapter_*` naming avoids the MLA
+    /// `*lora_rank` collision (`config.rs:182-207`).
+    #[serde(default)]
+    pub adapter_max_rank: usize,
 }
 
 /// Advertised weight-quantization layout, as declared in the HF
@@ -484,10 +492,13 @@ mod parsers;
 mod tests;
 
 pub use dispatch::parse_config;
+pub use parsers::{
+    PEFT_SUPPORTED_TARGET_MODULES, PeftAdapterConfig, parse_mistral_params,
+    parse_peft_adapter_config, parse_quantization_config,
+};
 pub(crate) use parsers::{
     parse_deepseek_v4, parse_gemma4_params, parse_minimax_m2, parse_step3p7, parse_vision_config,
 };
-pub use parsers::{parse_mistral_params, parse_quantization_config};
 
 pub(crate) fn finalize_config(config: &mut ModelConfig, raw: &serde_json::Value) -> Result<()> {
     if config.quantization_config.is_none() {

crates/atlas-core/src/config/factory.rs

@@ -107,6 +107,7 @@ impl ModelConfig {
             mtp_transformer_layers: 0,
             rotary_dim: 0,
             dflash_capture_layers: Vec::new(),
+            adapter_max_rank: 0,
         }
     }
 }