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convert-llama-h5-to-gguf.py : add 70b gqa support

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klosax 2023-08-15 00:43:10 +02:00 committed by GitHub
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commit 2dd5d2c92c
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1 changed files with 8 additions and 8 deletions
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convert-llama-h5-to-gguf.py
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@ -1,4 +1,4 @@
# HF llama --> gguf conversion, GQA/70b not supported
# HF llama --> gguf conversion
import gguf
import gguf_namemap as tmap
@ -10,7 +10,7 @@ import json
import numpy as np
import torch
from typing import Any, List
from typing import Any, List, Optional
from pathlib import Path
from sentencepiece import SentencePieceProcessor
@ -18,8 +18,8 @@ from sentencepiece import SentencePieceProcessor
# compatible with python < 3.9
NDArray: 'TypeAlias' = 'np.ndarray[Any, Any]'
def permute(weights: NDArray, n_head: int) -> NDArray:
def permute(weights: NDArray, n_head: int, n_kv_head: Optional[int] = None) -> NDArray:
if n_kv_head is not None and n_head != n_kv_head: n_head //= n_kv_head
return (weights.reshape(n_head, 2, weights.shape[0] // n_head // 2, *weights.shape[1:])
.swapaxes(1, 2)
.reshape(weights.shape))
@ -220,7 +220,7 @@ for part_name in part_names:
# permute these
if name.endswith(".q_proj.weight") or name.endswith(".k_proj.weight"):
data = permute(data,head_count)
data = permute(data, head_count, head_count_kv)
# map tensor names
if name.endswith(".weight") and name[:-7] in tensor_map:
@ -289,7 +289,7 @@ for part_name in part_names:
# permute these
if name.endswith(".q_proj.weight") or name.endswith(".k_proj.weight"):
data = permute(data, head_count)
data = permute(data, head_count, head_count_kv)
# map tensor names
if name.endswith(".weight") and name[:-7] in tensor_map: