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AI 모델 84759

• gemma-3-4b-it-Q5_K_M-GGUF↗

  tonybucket

• robeczech-base↗

  ufal

  The tokenizer in the initial release (a) contained a hole (51959 did not correspond to any token), and (b) mapped several tokens (unseen during training but required by the BBPE tokenizer) to the same ID as the `[UNK]` token (3). That sometimes caused problems, as in https://huggingface.co/ufal/robeczech-base/discussions/4. See https://huggingface.co/ufal/robeczech-base/discussions/4#64b8f6a7f1f8e6ea5860b314 for more information. In version 1.1, the tokenizer was modified by (a) removing the hole, (b) mapping all tokens to a unique ID. That also required increasing the vocabulary size and embeddings weights (by replicating the embedding of the `[UNK]` token). Without finetuning, version 1.1 and version 1.0 gives exactly the same embeddings on any input (apart from the pooler missing in v1.1), and the tokens in version 1.0 that mapped to a different ID than the `[UNK]` token map to the same ID in version 1.1. However, the sizes of the embeddings (and LM head weights and biases) are different, so the weights of the version 1.1 are not compatible with the configuration of version 1.0 and vice versa.

• DeepSeek-R1-Distill-Qwen-14B-bnb-4bit↗

  unsloth

• gemma-4-E2B-it-qat-mobile↗

  unsloth

• llama-2-7b↗

  unsloth

  We have a Google Colab Tesla T4 notebook for Llama 7b here: https://colab.research.google.com/drive/1lBzz5KeZJKXjvivbYvmGarix9Ao6Wxe5?usp=sharing All notebooks are **beginner friendly**! Add your dataset, click "Run All", and you'll get a 2x faster finetuned model which can be exported to GGUF, vLLM or uploaded to Hugging Face. - This conversational notebook is useful for ShareGPT ChatML / Vicuna templates. - This text completion notebook is for raw text. This DPO notebook replicates Zephyr. - \* Kaggle has 2x T4s, but we use 1. Due to overhead, 1x T4 is 5x faster.

• EuroLLM-22B-2512↗

  utter-project

• realism_engine_krea2_v2↗

  uzumix

• nova_deepseek-r1-abliterated-7b-qwen-distill↗

  VelvetVibe

• prism-caption-2-5-micro↗

  VertexAGI

• LTX-2.3-GGUF↗

  wuhaixie