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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference a

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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference a

Hugging Face Transformers Library

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State-of-the-art pretrained models for inference and train

Issues· 2355 open

View all issuesOpen on GitHub
  • #49252

    AutoTokenizer with tokenizer_class=LlamaTokenizerFast silently builds a sentencepiece pipeline for a byte-level BPE tokenizer.json, dropping all CJK input

    bugUpdated Oct 2, 2026
  • #49233

    Encoder repetition penalty uses incorrect source rows after beam or sampled-return expansion

    bugUpdated Oct 2, 2026
  • #49238

    ExponentialDecayLengthPenalty creates NaN EOS scores when combined with minimum-length constraints

    bugUpdated Oct 2, 2026
  • #49190

    [eager MOE] Selected expert IDs should probably not be treated as 0-d GPU tensors

    bugUpdated Oct 2, 2026
  • #48428

    RoPE corruption due to TF32 on B200 (possibly others) when using `torch.set_float32_matmul_precision("high")`

    bugUpdated Oct 2, 2026
  • #49166

    Rename `gradient_checkpointing` to `activation_checkpointing` in the next major

    Updated Oct 2, 2026
  • #49237

    Trainer counts fp16 steps skipped by GradScaler as completed update steps (`global_step`, `max_steps`, `on_optimizer_step`)

    Updated Oct 2, 2026
  • #49241

    [serge] integration failure triage - 2026-10-01

    Updated Oct 2, 2026
  • #48256

    Right-padded prefill produces a corrupted cache in Mamba-family models (zero conv state, decayed SSM state)

    Updated Oct 1, 2026
  • #48308

    Native TP does not shard qwen3_vl_moe experts (weights fully replicated per rank)

    Updated Oct 1, 2026

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> Details

PublishedAug 1, 2026
UpdatedOct 2, 2026
Category数据库
PricingOpen source

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