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[falcon] Fix Falcon for rw-1b model #2887

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[falcon] Fix Falcon for rw-1b model #2887

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e276e4b
Fix convert-falcon-hf-to-gguf.py for rw models
akawrykow Aug 29, 2023
de64f09
Skip qkv reshaping for non-parallel attention
akawrykow Aug 29, 2023
4380e52
Update tensor map for falcon-rw
akawrykow Aug 29, 2023
22c3522
use 4 space indentation
akawrykow Aug 29, 2023
ad45bb3
use vocab size from config.json
akawrykow Aug 30, 2023
370990a
support 1b model type
akawrykow Aug 30, 2023
66a6dbf
wqkv hack
akawrykow Aug 30, 2023
999f1f8
add extra tensors
akawrykow Aug 30, 2023
bc84ba3
add bias
akawrykow Aug 30, 2023
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32 changes: 22 additions & 10 deletions convert-falcon-hf-to-gguf.py
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Original file line number Diff line number Diff line change
Expand Up @@ -80,7 +80,7 @@ def count_model_parts(dir_model: str) -> int:
with open(dir_model + "/config.json", "r", encoding="utf-8") as 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])

sys.exit()
Expand All @@ -93,19 +93,34 @@ def count_model_parts(dir_model: str) -> int:

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_context_length(2048) # not in config.json
gguf_writer.add_tensor_data_layout("jploski") # qkv tensor transform
gguf_writer.add_embedding_length(hparams["hidden_size"])
gguf_writer.add_feed_forward_length(4 * hparams["hidden_size"])
gguf_writer.add_block_count(block_count)
gguf_writer.add_head_count(hparams["n_head"])
if "n_head_kv" in hparams:
gguf_writer.add_head_count_kv(hparams["n_head_kv"])
else:
gguf_writer.add_head_count_kv(1)
gguf_writer.add_head_count(n_head)
gguf_writer.add_head_count_kv(n_head_kv)
gguf_writer.add_layer_norm_eps(hparams["layer_norm_epsilon"])
gguf_writer.add_file_type(ftype)

Expand Down Expand Up @@ -190,9 +205,6 @@ def count_model_parts(dir_model: str) -> int:
tensor_map = gguf.get_tensor_name_map(ARCH,block_count)

# 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

# tensor info
Expand Down