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docling-layout

HuggingPanda

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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borisdayma

huggingtweets

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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Input Text→ Output Text
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llama-13b

huggyllama

This contains the weights for the LLaMA-13b model. This model is under a non-commercial license (see the LICENSE file). You should only use this repository if you have been granted access to the model by filling out this form but either lost your copy of the weights or got some trouble converting them to the Transformers format.

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llama-7b

huggyllama

This contains the weights for the LLaMA-7b model. This model is under a non-commercial license (see the LICENSE file). You should only use this repository if you have been granted access to the model by filling out this form but either lost your copy of the weights or got some trouble converting them to the Transformers format.

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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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Category pending
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progen2-base

hugohrban

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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progen2-large

hugohrban

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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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

Input Text · Image→ Output Text
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This is an uncensored version of InternScience/Agents-A1 created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens. - **Risk of Sensitive or Controversial Outputs**: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs. - **Not Suitable for All Audiences**: Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.

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Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.

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