diff --git a/concordia/language_model/together_ai.py b/concordia/language_model/together_ai.py
index 6edd0e27..5ec9f39b 100644
--- a/concordia/language_model/together_ai.py
+++ b/concordia/language_model/together_ai.py
@@ -12,7 +12,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-
 """Language Model that uses Together AI api.
 
 Recommended model name is 'google/gemma-2-9b-it'
@@ -21,13 +20,16 @@
 from collections.abc import Collection, Sequence
 import concurrent.futures
 import os
+import time
 from concordia.language_model import language_model
 from concordia.utils import measurements as measurements_lib
 import numpy as np
 import together
 from typing_extensions import override
 
-_MAX_MULTIPLE_CHOICE_ATTEMPTS = 20
+_MAX_ATTEMPTS = 20
+_NUM_SILENT_ATTEMPTS = 3
+_MAX_PROMPT_LENGTH = 7500
 
 
 class Gemma2(language_model.LanguageModel):
@@ -70,9 +72,6 @@ def sample_text(
       timeout: float = language_model.DEFAULT_TIMEOUT_SECONDS,
       seed: int | None = None,
   ) -> str:
-    # gpt models do not support `max_tokens` > 4096.
-    max_tokens = min(max_tokens, 4000)
-
     messages = [
         {
             'role': 'system',
@@ -98,22 +97,51 @@ def sample_text(
         {'role': 'user', 'content': prompt},
     ]
 
-    response = self._client.chat.completions.create(
-        model=self._model_name,
-        messages=messages,
-        temperature=temperature,
-        max_tokens=max_tokens,
-        timeout=timeout,
-        stop=terminators,
-        seed=seed,
-    )
+    # gemma2 does not support `tokens` + `max_new_tokens` > 8193.
+    # gemma2 interprets our `max_tokens`` as their `max_new_tokens`.
+    if len(prompt) > _MAX_PROMPT_LENGTH:
+      print(f'Warning: Truncating prompt of {len(prompt)} tokens to '
+            f'{_MAX_PROMPT_LENGTH} tokens.')
+      prompt = prompt[-_MAX_PROMPT_LENGTH:]
+    max_tokens = min(max_tokens, _MAX_PROMPT_LENGTH - len(prompt))
+
+    result = ''
+    for attempts in range(_MAX_ATTEMPTS):
+      if attempts > 0:
+        if attempts >= _NUM_SILENT_ATTEMPTS:
+          print(
+              'Sleeping for 10 seconds... '
+              + f'attempt: {attempts} / {_MAX_ATTEMPTS}'
+          )
+        time.sleep(10)
+      try:
+        response = self._client.chat.completions.create(
+            model=self._model_name,
+            messages=messages,
+            temperature=temperature,
+            max_tokens=max_tokens,
+            timeout=timeout,
+            stop=terminators,
+            seed=seed,
+        )
+      except together.error.RateLimitError as err:
+        if attempts >= _NUM_SILENT_ATTEMPTS:
+          print(f'  Exception: {err}')
+        continue
+      else:
+        result = response.choices[0].message.content
+        break
 
     if self._measurements is not None:
       self._measurements.publish_datum(
           self._channel,
-          {'raw_text_length': len(response.choices[0].message.content)},
+          {'raw_text_length': len(result)},
       )
-    return response.choices[0].message.content
+    # Remove the occasional sentence fragment from the end of the result.
+    last_stop = result.rfind('.')
+    if last_stop >= 0:
+      result = result[: last_stop + 1]
+    return result
 
   @override
   def sample_choice(
@@ -150,12 +178,29 @@ def _sample_choice(response: str) -> float:
           {'role': 'user', 'content': prompt + response},
       ]
 
-      result = self._client.chat.completions.create(
-          model=self._model_name,
-          messages=messages,
-          seed=seed,
-          logprobs=1,
-      )
+      result = ''
+      for attempts in range(_MAX_ATTEMPTS):
+        if attempts > 0:
+          if attempts >= _NUM_SILENT_ATTEMPTS:
+            print(
+                'Sleeping for 10 seconds... '
+                + f'attempt: {attempts} / {_MAX_ATTEMPTS}'
+            )
+          time.sleep(10)
+        try:
+          result = self._client.chat.completions.create(
+              model=self._model_name,
+              messages=messages,
+              seed=seed,
+              logprobs=1,
+          )
+        except together.error.RateLimitError as err:
+          if attempts >= _NUM_SILENT_ATTEMPTS:
+            print(f'  Exception: {err}')
+          continue
+        else:
+          break
+
       lp = sum(result.choices[0].logprobs.token_logprobs)
 
       return lp