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convert: remove most of the n_mult usage in convert.py (#3098)

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Erik Scholz 2023-09-10 17:06:53 +02:00 committed by GitHub
parent 21ac3a1503
commit 6eeb4d9083
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1 changed files with 1 additions and 17 deletions
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convert.py
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@ -145,7 +145,6 @@ GGML_FILE_TYPE_TO_DATA_TYPE: dict[GGMLFileType, DataType] = {
class Params: class Params:
n_vocab: int n_vocab: int
n_embd: int n_embd: int
n_mult: int
n_layer: int n_layer: int
n_ctx: int n_ctx: int
n_ff: int n_ff: int
@ -161,15 +160,6 @@ class Params:
# path to the directory containing the model files # path to the directory containing the model files
path_model: Path | None = None path_model: Path | None = None
@staticmethod
def find_n_mult(n_ff: int, n_embd: int) -> int:
# hardcoded magic range
for n_mult in range(8192, 1, -1):
calc_ff = (((8*n_embd) // 3 + n_mult - 1) // n_mult)*n_mult
if calc_ff == n_ff:
return n_mult
raise Exception(f"failed to find n_mult for (n_ff={n_ff}, n_embd={n_embd}).")
@staticmethod @staticmethod
def guessed(model: LazyModel) -> Params: def guessed(model: LazyModel) -> Params:
# try transformer naming first # try transformer naming first
@ -197,7 +187,6 @@ class Params:
return Params( return Params(
n_vocab = n_vocab, n_vocab = n_vocab,
n_embd = n_embd, n_embd = n_embd,
n_mult = n_mult,
n_layer = n_layer, n_layer = n_layer,
n_ctx = -1, n_ctx = -1,
n_ff = n_ff, n_ff = n_ff,
@ -225,8 +214,6 @@ class Params:
else: else:
f_rope_scale = None f_rope_scale = None
n_mult = Params.find_n_mult(n_ff, n_embd)
if "max_sequence_length" in config: if "max_sequence_length" in config:
n_ctx = config["max_sequence_length"] n_ctx = config["max_sequence_length"]
elif "max_position_embeddings" in config: elif "max_position_embeddings" in config:
@ -238,7 +225,6 @@ class Params:
return Params( return Params(
n_vocab = n_vocab, n_vocab = n_vocab,
n_embd = n_embd, n_embd = n_embd,
n_mult = n_mult,
n_layer = n_layer, n_layer = n_layer,
n_ctx = n_ctx, n_ctx = n_ctx,
n_ff = n_ff, n_ff = n_ff,
@ -250,7 +236,7 @@ class Params:
) )
# LLaMA v2 70B params.json # LLaMA v2 70B params.json
# {"dim": 8192, "multiple_of": 4096, "ffn_dim_multiplier": 1.3, "n_heads": 64, "n_kv_heads": 8, "n_layers": 80, "norm_eps": 1e-05, "vocab_size": -1 # {"dim": 8192, "multiple_of": 4096, "ffn_dim_multiplier": 1.3, "n_heads": 64, "n_kv_heads": 8, "n_layers": 80, "norm_eps": 1e-05, "vocab_size": -1}
@staticmethod @staticmethod
def loadOriginalParamsJson(model: LazyModel, config_path: Path) -> Params: def loadOriginalParamsJson(model: LazyModel, config_path: Path) -> Params:
config = json.load(open(config_path)) config = json.load(open(config_path))
@ -258,7 +244,6 @@ class Params:
n_vocab = config["vocab_size"] if "vocab_size" in config else -1 n_vocab = config["vocab_size"] if "vocab_size" in config else -1
n_embd = config["dim"] n_embd = config["dim"]
n_layer = config["n_layers"] n_layer = config["n_layers"]
n_mult = config["multiple_of"]
n_ff = -1 n_ff = -1
n_head = config["n_heads"] n_head = config["n_heads"]
n_head_kv = config["n_kv_heads"] if "n_kv_heads" in config else n_head n_head_kv = config["n_kv_heads"] if "n_kv_heads" in config else n_head
@ -285,7 +270,6 @@ class Params:
return Params( return Params(
n_vocab = n_vocab, n_vocab = n_vocab,
n_embd = n_embd, n_embd = n_embd,
n_mult = n_mult,
n_layer = n_layer, n_layer = n_layer,
n_ctx = n_ctx, n_ctx = n_ctx,
n_ff = n_ff, n_ff = n_ff,