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Llama 3.2The Llama 3.2 3B models support context length of 128K tokens and are state-of-the-art in their class for on-device use cases like summarization, instruction following, and rewriting tasks running locally at the edge.

Qwen2Qwen2 is a new series of large language models from Alibaba group. This is the base 0.5B parameter model.

Gemma2Gemma 2 is the latest family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

Phi3Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks.

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0.5B|1.5B|7B|72B

Qwen2 is a new series of large language models from Alibaba group. This is the base 0.5B parameter model.

Stable LM 2 1.6B is a state-of-the-art 1.6 billion parameter small language model trained on multilingual data in English, Spanish, German, Italian, French, Portuguese, and Dutch.

Meta released the Meta Llama 3 family of large language models (LLMs), including 8B-sized and 70B-sized pretrained and instruction-tuned generative text models. Optimized for dialogue, Llama 3 outperforms many open-source chat models on industry benchmarks, emphasizing helpfulness and safety.

0.5B|1.8B|14B|4B|7B

Qwen1.5-0.5B is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. It's the smallest model in the Qwen 1.5 series of models.

Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks.

The Yi series models are large language models trained from scratch by developers at 01.AI. This is the base 9B parameter model.

The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes (text in/text out).

Gemma 2 is the latest family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

Codestrall-22B-v0.1 is trained on a diverse dataset of 80+ programming languages, including the most popular ones, such as Python, Java, C, C++, JavaScript, and Bash.

CodeGemma-7B-it is a lightweight open code models built on top of Gemma, which specializes in code completion and code generation tasks.

The Llama 3.2 3B models support context length of 128K tokens and are state-of-the-art in their class for on-device use cases like summarization, instruction following, and rewriting tasks running locally at the edge.

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