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Model: Minimax M2 #16831

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Merged
merged 10 commits into from
Oct 31, 2025
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Merged

Model: Minimax M2 #16831

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cbaf22b
Model: Minimax M2
pwilkin Oct 28, 2025
552ec97
Cleanup
pwilkin Oct 28, 2025
6fb7ba1
Cleanup pt. 2
pwilkin Oct 28, 2025
de9c1c3
Cleanup pt. 3
pwilkin Oct 28, 2025
98c8e6a
Update convert_hf_to_gguf_update.py - merge catch blocks
pwilkin Oct 30, 2025
b97e61d
Remove vocab models and test
pwilkin Oct 30, 2025
8bcd8fe
Remove all redundant hparam settings covered by TextModel
pwilkin Oct 31, 2025
977d57b
Move super to start, don't set block_count
pwilkin Oct 31, 2025
919299f
Update src/llama-model.cpp
pwilkin Oct 31, 2025
ac0d708
Update gguf-py/gguf/constants.py
pwilkin Oct 31, 2025
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Update convert_hf_to_gguf_update.py - merge catch blocks 
Co-authored-by: Sigbjørn Skjæret <[email protected]>
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@pwilkin @CISC
pwilkin and CISC committed Oct 30, 2025
commit 98c8e6ad16a9a9fbfa971214c2796452e1ad9ed0
5 changes: 1 addition & 4 deletions convert_hf_to_gguf_update.py
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Expand Up @@ -436,10 +436,7 @@ def get_vocab_base_pre(self, tokenizer) -> str:
tokenizer = AutoTokenizer.from_pretrained(f"models/tokenizers/{name}", use_fast=False)
else:
tokenizer = AutoTokenizer.from_pretrained(f"models/tokenizers/{name}")
except OSError as e:
logger.error(f"Failed to load tokenizer for model {name}. Error: {e}")
continue # Skip this model and continue with the next one in the loop
except TypeError as e:
except (OSError, TypeError) as e:
logger.error(f"Failed to load tokenizer for model {name}. Error: {e}")
continue # Skip this model and continue with the next one in the loop

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