Candle_Phi-Hermes-1.3B
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Candle_tiny-mistral
DanielClough基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗legal-chatbot-qwen05b-qlora-pgabl
danielfahko基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗e5-base-sts-en-de
danielheinz基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗bge-small-en-v1.5_setfit-sst2-english
danielkorat基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Gemma-3-270M-ASR-Paragraph-Breaks
danielrosehill基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Gemma-3-270M-ASR-Paragraph-Breaks-ONNX
danielrosehill基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Parakeet-TDT-0.6B-v2-English-Hebrew-Codeswitching
danielrosehill基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗654321
Danilo20203基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗DeepSeek-Coder-V2-Lite-Instruct_GGUF
daniloreddy基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwen3.5-2B_GGUF
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View details ↗Qwen3.5-4B_GGUF
daniloreddy基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwen3.5-9B_GGUF
daniloreddy基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗saikei
DaniRey基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗DFM-Mimir
danish-foundation-models基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗DFM-Mimir-v1.5
danish-foundation-modelsDFM Mimir v1.5 is the final epoch-10 **EMA** checkpoint of the XL HRM-Text training lineage, at **2,877,261 optimizer steps**. It continues the Danish and English Mimir model family on subsequent dataset mixtures, ending with DFM11. It is a continuation checkpoint, not a new model trained from scratch for ten identical epochs. It is not an XXL model. The architecture has approximately **0.981B non-embedding/head parameters**, or **1.787B total parameters** including its separate 262,144-token input embedding and output head. The family is historically described as a 1B model. This repository contains BF16 inference weights, not optimizer state or a resumable FSDP training checkpoint. The final-epoch token count is not a claim about every preceding epoch or the total training-token budget. Earlier epochs used different mixtures.
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View details ↗DFM-Mimir-v1.5-GGUF
danish-foundation-models基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗edda-v0.1
danish-foundation-models基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗edda-v0.2
danish-foundation-models基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗This model is a fine-tuned version of roberta-large on the commonsense_qa dataset. It achieves the following results on the evaluation set: - Loss: 0.9146 - Accuracy: 0.7330 The following hyperparameters were used during training: - learning_rate: 1e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 5 - mixed_precision_training: Native AMP
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View details ↗This model is a fine-tuned version of bert-base-uncased on the English Universal Propbank dataset for the Semantics Role Labeling (SRL) task. It achieves the following results on the evaluation set: - Loss: 0.0914 - Precision: 0.8664 - Recall: 0.8673 - F1: 0.8669 - Accuracy: 0.9812 This more advanced SRL model uses similar apporach as the Augment method described in NegBERT (Khandelwal, et al. 2020). That is, adding a special token ([V]) immediately before the predicate: > This [V] is a sentence. Note that **the special token and the predicate is considered a whole**. That is, the actual sentence is like > 'This' **'[V] is'** 'a' 'sentence' '.'
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View details ↗Bonsai-27B-antidoom-1bit-DSpark
Danny-Dasilva基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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