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25 changes: 25 additions & 0 deletions convert_hf_to_gguf.py
Original file line number Diff line number Diff line change
Expand Up @@ -5463,6 +5463,31 @@ class _Qwen35MtpMixin:

def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
# Upstream Qwen3.6 repos (Qwen/Qwen3.6-27B, Qwen/Qwen3.6-35B-A3B) ship
# MTP weights under `mtp.*` but do not set `mtp_num_hidden_layers` in
# config.json. Without this hparam the mixin silently drops the entire
# MTP block at conversion time, producing a GGUF that fails to load
# later with `GGML_ASSERT(nextn_predict_layers > 0)` when `--spec-type
# mtp` is requested. Infer it from the safetensors weight map so the
# converter works on un-patched HF repos.
if not self.hparams.get("mtp_num_hidden_layers"):
wm_keys: Iterable[str] = ()
idx = self.dir_model / "model.safetensors.index.json"
if idx.is_file():
wm_keys = json.loads(idx.read_text()).get("weight_map", {}).keys()
else:
sf = self.dir_model / "model.safetensors"
if sf.is_file():
with open(sf, "rb") as _f:
_n = int.from_bytes(_f.read(8), "little")
wm_keys = json.loads(_f.read(_n).decode("utf-8")).keys()
ids = {int(m.group(1)) for k in wm_keys for m in [re.match(r"mtp\.layers\.(\d+)\.", k)] if m}
if ids:
self.hparams["mtp_num_hidden_layers"] = max(ids) + 1
logger.warning(
f"inferred mtp_num_hidden_layers={self.hparams['mtp_num_hidden_layers']} "
f"from safetensors weight_map (HF config.json missing this key)."
)
self.block_count = self.hparams["num_hidden_layers"] + self.hparams.get("mtp_num_hidden_layers", 0)
self.tensor_map = gguf.get_tensor_name_map(self.model_arch, self.block_count)

Expand Down