asynchow-minutes-code

Model · Text generation

Qwen2.5-1.5B-Instruct

Qwen

Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and mathematics, thanks to our specialized expert models in these domains. - Significant improvements in instruction following, generating long texts (over 8K tokens), understanding structured data (e.g, tables), and generating structured outputs especially JSON. More resilient to the diversity of system prompts, enhancing role-play implementation and…

Model · Text generation

Qwen2.5-1.5B

Qwen

Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and mathematics, thanks to our specialized expert models in these domains. - Significant improvements in instruction following, generating long texts (over 8K tokens), understanding structured data (e.g, tables), and generating structured outputs especially JSON. More resilient to the diversity of system prompts, enhancing role-play implementation and…

Model · Text generation

logi-1.5b

Alves

This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.

Model · Text generation

logi-1.5b-gguf

Alves

Versões quantizadas em GGUF do LOGI 1.5B, um modelo educacional em português brasileiro criado para o jogo Decifra.IA. O LOGI atua como tutor de: - lógica proposicional: AND, OR, NOT, IMPLICA, BICONDICIONAL, tabelas-verdade, equivalências, falácias e regras de inferência; - alfabetização em inteligência artificial: modelos, dados, treinamento, inferência, vieses, alucinação, RAG, privacidade e uso responsável; - segurança digital relacionada à IA: phishing, deepfakes, engenharia social, prompt injection e proteção de dados. Este repositório contém as quantizações da versão v5, treinada com 13.000 exemplos. Ela substitui a versão inicial do LOGI, que utilizava 1.183 exemplos. Para…

This repository contains an instruction-tuned causal language model for text generation and chat-style prompts. Use a recent version of transformers that supports this model architecture. The following example loads the model from this repository and generates a response.

This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.