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Gemma 2 2B IT is the smallest instruction-tuned Gemma 2 model from Google, with about 2.6B parameters, for short English replies and rewrites where the prompt supplies the facts.

Gemma 2 9B IT is Google's 9-billion-parameter instruction-tuned Gemma 2 model for English chat and writing. Google reports its pretrained base at 68.6 on GSM8K math, against 23.9 for the 2B.

Meta's 8B-parameter Llama 3 model tuned for English assistant chat. It answers with text and code inside an 8k-token context and can keep a separate chat history per user and session.

Mistral AI's 7B chat model, fine-tuned for instructions from Mistral-7B-v0.3. This version added function calling and moved to the v3 tokenizer with a 32,768-token vocabulary.

The 8B instruction-tuned model of Meta's Llama 3.1 collection, for chat and code in eight languages. It was pretrained on roughly 15 trillion tokens, and its knowledge stops at December 2023.

Qwen2.5's 7B chat model (7.61B parameters) with JSON mode, function calling and up to 32,768 input tokens on Wiro. Qwen reports 75.5 on MATH and 84.8 on HumanEval.

Wiro AI's 8B Turkish chat model: Llama 3.1 8B Instruct fine-tuned on more than 500,000 Turkish instructions, with a focus on Turkish idioms and local context.

The pretrained 13B-parameter Llama 2 base model from Meta, with no chat or instruction tuning. It continues the text you give it, for story drafting and pattern completion in English.

Meta's 7B Llama 2 chat model, aligned for English dialogue with supervised fine-tuning and RLHF. Text in, text out, with a 4k-token context window.