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

Jump to bottom

Support Mistral #133

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Support Mistral #133

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
4 changes: 4 additions & 0 deletions tuned_lens/model_surgery.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -114,6 +114,8 @@ def get_final_norm(model: Model) -> Norm:
final_layer_norm = base_model.ln_f
elif isinstance(base_model, models.llama.modeling_llama.LlamaModel):
final_layer_norm = base_model.norm
elif isinstance(base_model, models.mistral.modeling_mistral.MistralModel):
final_layer_norm = base_model.norm
else:
raise NotImplementedError(f"Unknown model type {type(base_model)}")

Expand Down Expand Up @@ -159,6 +161,8 @@ def get_transformer_layers(model: Model) -> tuple[str, th.nn.ModuleList]:
path_to_layers += ["h"]
elif isinstance(base_model, models.llama.modeling_llama.LlamaModel):
path_to_layers += ["layers"]
elif isinstance(base_model, models.mistral.modeling_mistral.MistralModel):
path_to_layers += ["layers"]
else:
raise NotImplementedError(f"Unknown model type {type(base_model)}")

Expand Down
Loading