Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

convert : restore compat with old Falcon models #3680

Merged
merged 1 commit into from
Oct 20, 2023
Merged

convert : restore compat with old Falcon models #3680

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
25 changes: 14 additions & 11 deletions convert-falcon-hf-to-gguf.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -78,7 +78,7 @@ def parse_args() -> argparse.Namespace:
with open(dir_model / "config.json", "r", encoding="utf-8") as f:
hparams = json.load(f)

if hparams["architectures"][0] != "FalconForCausalLM":
if hparams["architectures"][0] not in ("RWForCausalLM", "FalconForCausalLM"):
print("Model architecture not supported: " + hparams["architectures"][0])

sys.exit(1)
Expand All @@ -97,19 +97,26 @@ def parse_args() -> argparse.Namespace:

print("gguf: get model metadata")

block_count = hparams["num_hidden_layers"]
block_count = hparams.get("num_hidden_layers")
if block_count is None:
block_count = hparams["n_layer"] # old name

n_head = hparams.get("num_attention_heads")
if n_head is None:
n_head = hparams["n_head"] # old name

n_head_kv = hparams.get("num_kv_heads")
if n_head_kv is None:
n_head_kv = hparams.get("n_head_kv", 1) # old name

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["num_attention_heads"])
if "num_kv_heads" in hparams:
gguf_writer.add_head_count_kv(hparams["num_kv_heads"])
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 @@ -152,10 +159,6 @@ def parse_args() -> argparse.Namespace:

tensor_map = gguf.get_tensor_name_map(ARCH,block_count)

# params for qkv transform
n_head = hparams["num_attention_heads"]
n_head_kv = hparams["num_kv_heads"] if "num_kv_heads" in hparams else 1

head_dim = hparams["hidden_size"] // n_head

# tensor info
Expand Down