Advertised weight-quantization layout, as declared in the HF
config.json’s quantization_config block (or a sibling
hf_quant_config.json). This is the authoritative signal for
format dispatch — the QuantFormat trait prefers this over
tensor-name sniffing, matching the dispatch model used by vLLM /
TensorRT-LLM / SGLang.
v0 target-module allow-list. Deltas apply on full-attention layers
(holo-3.1-0.8b: layer indices 3,7,11,15,19,23) plus the dense SwiGLU FFN.
q_proj IS supported: on attn_output_gate=true models the raw projection
emits the interleaved [Q|gate] at width 2·q_heads·head_dim — the FULL
width the PEFT lora_B was trained against (verified [8192,16] on
holo-3.1-35b), so the delta folds onto the raw interleaved basis exactly
like k/v/o (the deinterleave is deferred past the fold). GDN/linear-attention
modules stay rejected (no exact-replay parity harness for the recurrence yet).
Typed read access to GGUF metadata. Implemented by the spark-runtime GGUF
parser over its parsed key/value table. All getters return None when the
key is absent or holds a different value type — the builder decides whether
absence is fatal or has a derivation rule.
Per-module-name allow-list gate. PEFT entries may be bare names
("k_proj") or full paths ("model.layers.3.self_attn.k_proj"); both
validate on the final .-segment. Per-LayerType enforcement (deltas
land on full-attention layers only) is the weight loader’s job — this is
the name-level gate.
ATLAS_LORA_ALLOW_PARTIAL=1 — load an adapter naming target modules Atlas
cannot apply, skipping those and applying the rest.