Define "do_sample" explicitly in generation_config.json

Hi again :)

I also got the following error when loading the model:
> model = AutoModelForCausalLM.from_pretrained(MODEL_ID, dtype=torch.bfloat16, low_cpu_mem_usage=True, device_map="cuda", local_files_only=True)
Loading checkpoint shards: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:10<00:00, 3.42s/it]
The following generation flags are not valid and may be ignored: ['temperature', 'top_p']. Set `TRANSFORMERS_VERBOSITY=info` for more details.

When trying to save the model, it says that the default value for "do_sample" is false when not explicitly defined.

> model.save_pretrained(SAVE_DIR, safe_serialization=True, max_shard_size="10GB")
2025-11-28T17:19:45.738718+0100 | get_model_compressor | INFO - skip_sparsity_compression_stats set to True. Skipping sparsity compression statistic calculations. No sparsity compressor will be applied.
Compressing model: 224it [00:05, 40.05it/s]
Traceback (most recent call last):
File "/home/thibaut/tools/llm-compressor/.venv/lib/python3.12/site-packages/transformers/generation/configuration_utils.py", line 723, in save_pretrained
self.validate(strict=True)
File "/home/thibaut/tools/llm-compressor/.venv/lib/python3.12/site-packages/transformers/generation/configuration_utils.py", line 684, in validate
raise ValueError("GenerationConfig is invalid: \n" + info_message)
ValueError: GenerationConfig is invalid:
`temperature`: `do_sample` is set to `False`. However, `temperature` is set to `0.6` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `temperature`.
`top_p`: `do_sample` is set to `False`. However, `top_p` is set to `0.95` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `top_p`.
If you're using a pretrained model, note that some of these attributes may be set through the model's `generation_config.json` file.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/thibaut/tools/llm-compressor/.venv/lib/python3.12/site-packages/llmcompressor/transformers/compression/compressed_tensors_utils.py", line 96, in save_pretrained_wrapper
original_save_pretrained.__get__(model, model_class)(
File "/home/thibaut/tools/llm-compressor/.venv/lib/python3.12/site-packages/transformers/modeling_utils.py", line 3930, in save_pretrained
model_to_save.generation_config.save_pretrained(save_directory)
File "/home/thibaut/tools/llm-compressor/.venv/lib/python3.12/site-packages/transformers/generation/configuration_utils.py", line 725, in save_pretrained
raise ValueError(str(exc) + "\n\nFix these issues to save the configuration.")
ValueError: GenerationConfig is invalid:
`temperature`: `do_sample` is set to `False`. However, `temperature` is set to `0.6` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `temperature`.
`top_p`: `do_sample` is set to `False`. However, `top_p` is set to `0.95` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `top_p`.
If you're using a pretrained model, note that some of these attributes may be set through the model's `generation_config.json` file.
Fix these issues to save the configuration.

generation_config.json

@@ -7,5 +7,6 @@
   "transformers_version": "4.54.0",
   "temperature": 0.6,
   "top_p": 0.95,
-  "max_new_tokens": 32768
+  "max_new_tokens": 32768,
+  "do_sample": true
 }