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AI モデル 84759
- internlm3-8b-instruct↗
internlm
InternLM3 has open-sourced an 8-billion parameter instruction model, InternLM3-8B-Instruct, designed for general-purpose usage and advanced reasoning. This model has the following characteristics: - **Enhanced performance at reduced cost**: State-of-the-art performance on reasoning and knowledge-intensive tasks surpass models like Llama3.1-8B and Qwen2.5-7B. Remarkably, InternLM3 is trained on only 4 trillion high-quality tokens, saving more than 75% of the training cost compared to other LLMs of similar scale. - **Deep thinking capability**: InternLM3 supports both the deep thinking mode for solving complicated reasoning tasks via the long chain-of-thought and the normal response mode for fluent user interactions. We conducted a comprehensive evaluation of InternLM using the open-source evaluation tool OpenCompass. The evaluation covered five dimensions of capabilities: disciplinary competence, language competence, knowledge competence, inference competence, and comprehension competence. Here are some of the evaluation results, and you can visit the OpenCompass leaderboard for more evaluation results.
- Qwen3-30B-A3B-P48NVFP4-MoESQ↗
ISTA-DASLab
- cifar100_resnet-50↗
jialicheng
- scibert_scivocab_uncased_sentence_transformer↗
jordyvl
- nllb-200-distilled-1.3B-ct2-int8↗
JustFrederik
- c66-h32↗
lfgidjg34dd
- Qwen3-8B↗
litert-community
- gpt2-imdb-pos-v2↗
lvwerra
- XLM-Roberta-Large-Vit-B-32↗
M-CLIP
Multilingual-CLIP extends OpenAI's English text encoders to multiple other languages. This model *only* contains the multilingual text encoder. The corresponding image model `ViT-B-32` can be retrieved via instructions found on OpenAI's CLIP repository on Github. We provide a usage example below. To use both the multilingual text encoder and corresponding image encoder, we need to install the packages `multilingual-clip` and `clip`. None of the M-CLIP models have been extensivly evaluated, but testing them on Txt2Img retrieval on the humanly translated MS-COCO dataset, we see the following **R@10** results:
- gemma-4-26B-AWQ↗
mattbucci