sgl-project / sgl-project/SpecForge

[Bug] Found an error when running the example.

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Description

Checklist
  • 1. I have searched related issues but cannot get the expected help.
  • 2. The bug has not been fixed in the latest version.
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Describe the bug

An error occurred when running the example according to the documentation.

Environment:
torch 2.8.0+cpu
torch_npu 2.8.0.post2
torchao 0.9.0
torchaudio 2.8.0
torchvision 0.23.0
sglang 0.5.9
sglang-router 0.3.2
datasets 4.8.5
transformers 4.57.1

Reproduction
python scripts/prepare_data.py --dataset sharegpt
bash ./examples/run_llama3.1_8b_eagle3_online.sh 4 2

Error message:

rank0]: Traceback (most recent call last):
[rank0]:   File "/usr/local/python3.11.14/lib/python3.11/site-packages/multiprocess/pool.py", line 125, in worker
[rank0]:     result = (True, func(*args, **kwds))
[rank0]:                     ^^^^^^^^^^^^^^^^^^^
[rank0]:   File "/usr/local/python3.11.14/lib/python3.11/site-packages/datasets/utils/py_utils.py", line 585, in _write_generator_to_queue
[rank0]:     for i, result in enumerate(func(**kwargs)):
[rank0]:   File "/usr/local/python3.11.14/lib/python3.11/site-packages/datasets/arrow_dataset.py", line 3998, in _map_single
[rank0]:     for i, batch in iter_outputs(shard_iterable):
[rank0]:   File "/usr/local/python3.11.14/lib/python3.11/site-packages/datasets/arrow_dataset.py", line 3951, in iter_outputs
[rank0]:     yield i, apply_function(example, i, offset=offset)
[rank0]:              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]:   File "/usr/local/python3.11.14/lib/python3.11/site-packages/datasets/arrow_dataset.py", line 3872, in apply_function
[rank0]:     processed_inputs = function(*fn_args, *additional_args, **fn_kwargs)
[rank0]:                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]:   File "/workspace/SpecForge/specforge/data/preprocessing.py", line 412, in preprocess_function
[rank0]:     processed = preprocess_conversations(
[rank0]:                 ^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]:   File "/workspace/SpecForge/specforge/data/preprocessing.py", line 166, in preprocess_conversations
[rank0]:     input_ids, loss_mask = parser.parse(
[rank0]:                            ^^^^^^^^^^^^^
[rank0]:   File "/workspace/SpecForge/specforge/data/parse.py", line 197, in parse
[rank0]:     conversation = self.apply_chat_template(messages, tool=tool, **kwargs)
[rank0]:                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]:   File "/workspace/SpecForge/specforge/data/parse.py", line 123, in apply_chat_template
[rank0]:     conversation = self.tokenizer.apply_chat_template(
[rank0]:                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]:   File "/usr/local/python3.11.14/lib/python3.11/site-packages/transformers/tokenization_utils_base.py", line 1666, in apply_chat_template
[rank0]:     rendered_chat, generation_indices = render_jinja_template(
[rank0]:                                         ^^^^^^^^^^^^^^^^^^^^^^
[rank0]:   File "/usr/local/python3.11.14/lib/python3.11/site-packages/transformers/utils/chat_template_utils.py", line 539, in render_jinja_template
[rank0]:     rendered_chat = compiled_template.render(
[rank0]:                     ^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]:   File "/usr/local/python3.11.14/lib/python3.11/site-packages/jinja2/environment.py", line 1295, in render
[rank0]:     self.environment.handle_exception()
[rank0]:   File "/usr/local/python3.11.14/lib/python3.11/site-packages/jinja2/environment.py", line 942, in handle_exception
[rank0]:     raise rewrite_traceback_stack(source=source)
[rank0]:   File "<template>", line 52, in top-level template code
[rank0]:   File "/usr/local/python3.11.14/lib/python3.11/site-packages/jinja2/sandbox.py", line 401, in call
[rank0]:     return __context.call(__obj, *args, **kwargs)
[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]:   File "/usr/local/python3.11.14/lib/python3.11/site-packages/transformers/utils/chat_template_utils.py", line 447, in raise_exception
[rank0]:     raise jinja2.exceptions.TemplateError(message)
[rank0]: jinja2.exceptions.TemplateError: Cannot put tools in the first user message when there's no first user message! 
Environment

Using quay.io/ascend/sglang:v0.5.9-cann8.5.0-a3

Environment:
torch 2.8.0+cpu
torch_npu 2.8.0.post2
torchao 0.9.0
torchaudio 2.8.0
torchvision 0.23.0
sglang 0.5.9
sglang-router 0.3.2
datasets 4.8.5
transformers 4.57.1

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by running scripts/prepare_data.py and examples/run_llama3.1_8b_eagle3_online.sh with the reported environment, then trace the failure through specforge/data/preprocessing.py and specforge/data/parse.py. Determine why the chat template receives tools without a first user message, and verify that the example completes preprocessing without the reported TemplateError.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
data, machine-learning
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Quiet
Clarity
Mostly clear
Newbie friendliness
52/100

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