FacebookAI/roberta-large self-reported reviews and receipts are preserved for moderation with no ranking, verification, readiness, badge, or reputation effect during containment.
FacebookAI/roberta-large is an open-weights language model for masked-language modeling published by FacebookAI, released Feb 19, 2024. Model from Hugging Face for fill mask: FacebookAI/roberta-large · transformers
It is released under the mit license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.
The total download is 7.0 GB.
Hugging Bay does not host files for this model. Download it from the original Hugging Face release at https://huggingface.co/FacebookAI/roberta-large. No file list is recorded; total size: 7.0 GB.
Source scan status: passed. No files are hosted here, so no hosted-file hashes are published. The machine-readable verdict is at /api/artifacts/hf-model-facebookai-roberta-large/safety on Hugging Bay.
FacebookAI/roberta-large needs ~9.41 GB, which is within the 24 GB on an RTX 4090 (24GB) by memory capacity (~14.59 GB headroom). Computed from stated size and quant, not a runtime guarantee.
FacebookAI/roberta-large needs ~9.41 GB, which is within the 24 GB on an RTX 3090 (24GB) by memory capacity (~14.59 GB headroom). Computed from stated size and quant, not a runtime guarantee.
FacebookAI/roberta-large needs ~9.41 GB, which is within the 80 GB on an A100 (80GB) by memory capacity (~70.59 GB headroom). Computed from stated size and quant, not a runtime guarantee.
FacebookAI/roberta-large needs ~9.41 GB, which is within the 16 GB on a 16GB laptop (no dedicated GPU) by memory capacity (~6.59 GB headroom). Computed from stated size and quant, not a runtime guarantee.
FacebookAI/roberta-large needs ~9.41 GB of memory (weights + KV cache at 8192 tokens); that is more than the 8 GB on an 8GB laptop (no dedicated GPU), so it does not fit. Computed from stated size and quant, not a runtime guarantee.
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