vbatts/llama.cpp
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Fix convert-falcon-hf-to-gguf.py for rw models

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akawrykow 2023-08-29 13:54:53 -07:00
parent fa3582f509
commit e276e4b606
1 changed files with 22 additions and 10 deletions
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32
convert-falcon-hf-to-gguf.py
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@ -80,7 +80,7 @@ print("gguf: loading model "+last_dir)
with open(dir_model + "/config.json", "r", encoding="utf-8") as f: with open(dir_model + "/config.json", "r", encoding="utf-8") as f:
hparams = json.load(f) hparams = json.load(f)
if hparams["architectures"][0] != "RWForCausalLM": if hparams["architectures"][0] not in ("RWForCausalLM", "FalconForCausalLM"):
print("Model architecture not supported: " + hparams["architectures"][0]) print("Model architecture not supported: " + hparams["architectures"][0])
sys.exit() sys.exit()
@ -93,7 +93,25 @@ gguf_writer = gguf.GGUFWriter(fname_out, gguf.MODEL_ARCH_NAMES[ARCH])
print("gguf: get model metadata") print("gguf: get model metadata")
block_count = hparams["n_layer"] if "n_layer" in hparams:
block_count = hparams["n_layer"]
elif "num_hidden_layers" in hparams:
block_count = hparams["num_hidden_layers"]
else:
print("No block count found")
sys.exit()
if "n_head" in hparams:
n_head = hparams["n_head"]
elif "num_attention_heads" in hparams:
n_head = hparams["num_attention_heads"]
else:
print("No head count found")
sys.exit()
n_head_kv = hparams["n_head_kv"] if "n_head_kv" in hparams else 1
gguf_writer.add_name("Falcon") gguf_writer.add_name("Falcon")
gguf_writer.add_context_length(2048) # not in config.json gguf_writer.add_context_length(2048) # not in config.json
@ -101,11 +119,8 @@ gguf_writer.add_tensor_data_layout("jploski") # qkv tensor transform
gguf_writer.add_embedding_length(hparams["hidden_size"]) gguf_writer.add_embedding_length(hparams["hidden_size"])
gguf_writer.add_feed_forward_length(4 * hparams["hidden_size"]) gguf_writer.add_feed_forward_length(4 * hparams["hidden_size"])
gguf_writer.add_block_count(block_count) gguf_writer.add_block_count(block_count)
gguf_writer.add_head_count(hparams["n_head"]) gguf_writer.add_head_count(n_head)
if "n_head_kv" in hparams: gguf_writer.add_head_count_kv(n_head_kv)
gguf_writer.add_head_count_kv(hparams["n_head_kv"])
else:
gguf_writer.add_head_count_kv(1)
gguf_writer.add_layer_norm_eps(hparams["layer_norm_epsilon"]) gguf_writer.add_layer_norm_eps(hparams["layer_norm_epsilon"])
gguf_writer.add_file_type(ftype) gguf_writer.add_file_type(ftype)
@ -190,9 +205,6 @@ if "pad_token_id" in hparams and hparams["pad_token_id"] != None:
tensor_map = gguf.get_tensor_name_map(ARCH,block_count) tensor_map = gguf.get_tensor_name_map(ARCH,block_count)
# params for qkv transform # params for qkv transform
n_head = hparams["n_head"]
n_head_kv = hparams["n_head_kv"] if "n_head_kv" in hparams else 1
head_dim = hparams["hidden_size"] // n_head head_dim = hparams["hidden_size"] // n_head
# tensor info # tensor info