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LLM Models · Open Source

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1,253 models Compare
Llama-SEA-LION-v3-70B-IT logo
Llama-SEA-LION-v3-70B-IT
aisingapore

SEA-LION is a collection of Large Language Models (LLMs) which have been pretrained and instruct-tuned for the Southeast Asia (SEA) region.

Open Source 70.0B ↓ 108
SEA-LION-v1-7B-IT-Research logo
SEA-LION-v1-7B-IT-Research
aisingapore

SEA-LION is a collection of Large Language Models (LLMs) which has been pretrained and instruct-tuned for the Southeast Asia (SEA) region. The size of the models range from 3 billion to 7 billion parameters. This is the card for the SEA-LION 7B Instruct (Non-Commercial) model.

Open Source 7.0B ↓ 107
EXAONE-Deep-32B-AWQ logo
EXAONE-Deep-32B-AWQ
LGAI-EXAONE

We introduce EXAONE Deep, which exhibits superior capabilities in various reasoning tasks including math and coding benchmarks, ranging from 2.4B to 32B parameters developed and released by LG AI Research. Evaluation results show that 1) EXAONE Deep 2.4B outperforms other models…

Open Source 32.0B ↓ 106
Llama-3.1-8B-Dragonfly-Med-v2 logo
Llama-3.1-8B-Dragonfly-Med-v2
togethercomputer

Note: Users are permitted to use this model in accordance with the Llama 3.1 Community License Agreement. Additionally, due to the licensing restrictions of the dataset used to train this model, which prohibits commercial use, the Dragonfly-Med model is restricted to non-commerci…

Open Source 8.0B ↓ 106
Qwen-SEA-LION-v4-32B-IT-OV-8BIT logo
Qwen-SEA-LION-v4-32B-IT-OV-8BIT
aisingapore

- Model creator: AI Singapore - Original model: Qwen-SEA-LION-v4-32B-IT

Open Source 32.0B ↓ 104
EXAONE-Deep-2.4B-AWQ logo
EXAONE-Deep-2.4B-AWQ
LGAI-EXAONE

We introduce EXAONE Deep, which exhibits superior capabilities in various reasoning tasks including math and coding benchmarks, ranging from 2.4B to 32B parameters developed and released by LG AI Research. Evaluation results show that 1) EXAONE Deep 2.4B outperforms other models…

Open Source 2.4B ↓ 103
Nemotron-SEA-LION-v4.8-30B-A3B-NVFP4 logo
Nemotron-SEA-LION-v4.8-30B-A3B-NVFP4
aisingapore

This repository contains the NVFP4 (4-bit floating point, E2M1) quantized weights for aisingapore/Nemotron-SEA-LION-v4.8-30B-A3B .

Open Source 30.0B ↓ 97
Nemotron-SEA-LION-v4.8-120B-A12B-FP8 logo
Nemotron-SEA-LION-v4.8-120B-A12B-FP8
aisingapore

This repository contains the W8A8 FP8 (E4M3) quantized weights for aisingapore/Nemotron-SEA-LION-v4.8-120B-A12B .

Open Source 120.0B ↓ 97
Llama-3.1-8B-Instruct-MoAA-SFT logo
Llama-3.1-8B-Instruct-MoAA-SFT
togethercomputer

This is the SFT model in our Mixture of Agents Alignment (MoAA) pipeline. This model is tuned on the Llama-3.1-8b-Instruct. MoAA is an approach that leverages collective intelligence from open‑source LLMs to advance alignment.

Open Source 8.0B ↓ 96
Llama-SEA-LION-v2-8B logo
Llama-SEA-LION-v2-8B
aisingapore

Llama-SEA-LION-v2-8B SEA-LION is a collection of Large Language Models (LLMs) which have been pretrained and instruct-tuned for the Southeast Asia (SEA) region.

Open Source 8.0B ↓ 96
bloom-7b1-petals logo
bloom-7b1-petals
bigscience

This model is a version of bigscience/bloom-7b1 post-processed to be run at home using the Petals swarm.

Open Source ↓ 95
bloomz-petals logo
bloomz-petals
bigscience

This model is a version of bigscience/bloomz post-processed to be run at home using the Petals swarm.

Open Source ↓ 94