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convert MQA to MHA

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This commit is contained in:
Meng Zhang 2023-09-15 11:42:16 +08:00
parent eb7f0eba3e
commit 76d32cca59
1 changed files with 18 additions and 0 deletions
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18
convert-starcoder-hf-to-gguf.py
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@ -212,6 +212,24 @@ for part_name in part_names:
data = data.squeeze().numpy()
if name.endswith(".attn.c_attn.weight") or name.endswith(".attn.c_attn.bias"):
print("Duplicate K,V heads to use MHA instead of MQA for", name)
embed_dim = hparams["n_embd"]
head_dim = embed_dim // hparams["n_head"]
# ((n_heads + 2) * head_dim, hidden_dim) -> (3 * n_heads * head_dim, hidden_dim)
q, k ,v = np.split(data, (hparams["n_head"] * head_dim, (hparams["n_head"] + 1) * head_dim), axis=0)
# duplicate k, v along the first axis (head_dim, hidden_dim) -> (n_heads * head_dim, hidden_dim)
if len(k.shape) == 2:
k = np.tile(k, (hparams["n_head"], 1))
v = np.tile(v, (hparams["n_head"], 1))
elif len(k.shape) == 1:
k = np.tile(k, (hparams["n_head"]))
v = np.tile(v, (hparams["n_head"]))
# concat q, k, v along the first axis (n_heads * head_dim, hidden_dim) -> (3 * n_heads * head_dim, hidden_dim)
data = np.concatenate((q, k, v), axis=0)
# map tensor names
new_name = tensor_map.get_name(name, try_suffixes = (".weight", ".bias"))
if new_name is None: