Improve error messages
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Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 65/100
- Issue type
- Bug
- Clarity
- Clearly specified
- Activity status
- Stale
- Tech stack
- python
- Domain
- backend-api-design
Research direction
The error originates in _internals.py line 58. Look at the model loading logic before that line to see what can cause failure (e.g., file not found, permissions, or format issues). Improve the error message to include the specific reason, such as checking file existence or catching underlying exceptions. Test by running the provided Colab snippet after changes.
Written by the indexing model from the issue text.
Description
Repro steps:
- Go to https://huggingface.co/HauhauCS/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive
- Click "use this model" -> colab
- Run code on colab
Generated code is:
from llama_cpp import Llama
llm = Llama.from_pretrained(
repo_id="HauhauCS/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive",
filename="Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-BF16.gguf",
)
which fails with:
ValueError Traceback (most recent call last)
[/tmp/ipykernel_1917/696730726.py](https://localhost:8080/#) in <cell line: 0>()
3 from llama_cpp import Llama
4
----> 5 llm = Llama.from_pretrained(
6 repo_id="HauhauCS/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive",
7 filename="Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-BF16.gguf",
2 frames
[/usr/local/lib/python3.12/dist-packages/llama_cpp/_internals.py](https://localhost:8080/#) in __init__(self, path_model, params, verbose)
56
57 if model is None:
---> 58 raise ValueError(f"Failed to load model from file: {path_model}")
59
60 vocab = llama_cpp.llama_model_get_vocab(model)
ValueError: Failed to load model from file: /root/.cache/huggingface/hub/models--HauhauCS--Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive/snapshots/53367faad177ee6a23601983cdac4308b51393df/./Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-BF16.gguf
This error message is not actionable as it doesn't say why it failed to load so the user can't do much about it.
- Dominant language
- Python
- Stars
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- Forks
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- Avg merge
- 23m
- Merged PRs (30d)
- 1
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