OLMp patch for llm_generate.py

olmo.patch

diff --git a/llm_generate.py b/llm_generate.py
index 061cc99..73fb208 100755
--- a/llm_generate.py
+++ b/llm_generate.py
@@ -9,6 +9,8 @@
 #     "protobuf>=6.30.1",
 #     "spacy>=3.8.4",
 #     "ftfy>=6.3.1",
+#     "ai2-olmo",
+#     "datasets",
 # ]
 # ///
 
@@ -63,15 +65,20 @@ import numpy as np
 from transformers import AutoTokenizer
 import torch.nn.functional as F
 
-exec(f"from transformers import {model_class}") 
-model_class = eval(model_class)
-
 # Special case for GPT1 (with AutoTokenizer, surprisal calculations
 # wouldn't work):
 if model=="openai-community/openai-gpt":
+  exec(f"from transformers import {model_class}")
+  model_class = eval(model_class)
   from transformers import OpenAIGPTTokenizer
   tokenizer = OpenAIGPTTokenizer.from_pretrained(model)
+elif model=="allenai/OLMo-1B":
+  from hf_olmo import OLMoForCausalLM, OLMoTokenizerFast
+  model_class = eval(model_class)
+  tokenizer = OLMoTokenizerFast.from_pretrained(model)
 else:
+  exec(f"from transformers import {model_class}")
+  model_class = eval(model_class)
   tokenizer = AutoTokenizer.from_pretrained(model)
 model     = model_class.from_pretrained(model)
 
diff --git a/models.py b/models.py
index c185d41..2220990 100644
--- a/models.py
+++ b/models.py
@@ -13,4 +13,5 @@ models = {
   "xglm-2.9B":          ("facebook/xglm-2.9B",           "XGLMForCausalLM"),
   "german-gpt2":        ("dbmdz/german-gpt2",            "AutoModelForCausalLM"),
   "german-gpt2-larger": ("stefan-it/german-gpt2-larger", "AutoModelForCausalLM"),
+  "OLMo-1B":            ("allenai/OLMo-1B",              "OLMoForCausalLM"),
 }