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Showing 61–65 of 65 models
Qwen2.5-1.5B-Instruct - AI model cover image

Qwen2.5-1.5B-Instruct

Qwen

At 1.54B parameters, the smallest Qwen2.5 chat model to pass 50 on both MATH and HumanEval in Qwen's tables (55.2 and 61.6). It is licensed under Apache 2.0.

LLM Tool Calltext generationtransformers
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Qwen2.5-Coder-7B-Instruct - AI model cover image

Qwen2.5-Coder-7B-Instruct

Qwen

A 7.61B-parameter Qwen2.5-Coder chat model for generating and fixing code. On Wiro it reads up to 32,768 input tokens per request, close to twice the limit of its 32B sibling.

LLM Tool Calltext generationtransformers
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Qwen2.5-Coder-32B-Instruct - AI model cover image

Qwen2.5-Coder-32B-Instruct

Qwen

The 32.5B-parameter flagship of Qwen2.5-Coder, instruction-tuned for writing and repairing code. Qwen reports 73.7 on the Aider code-repair benchmark and 65.9 on McEval, which spans more than 40 languages.

LLM Tool Calltext generationtransformers
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Mistral-7B-Instruct-v0.3 - AI model cover image

Mistral-7B-Instruct-v0.3

mistralai

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.

LLM Tool Calltext generationtransformers
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Qwen2.5-7B-Instruct - AI model cover image

Qwen2.5-7B-Instruct

Qwen

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.

LLM Tool Calltext generationtransformers
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