| """openTARS: a lista da p谩gina "Mais modelos" (Configura莽玫es). S贸 dados e contas simples, sem Qt, para testar 脿 parte. |
| |
| Nomes e tamanhos conferidos nas p谩ginas do ollama.com em 21/10/2026 (s贸 entra o que a p谩gina mostra com um tamanho 煤nico; gemma4 e |
| qwen3.5 ficaram de fora porque a p谩gina d谩 uma faixa de tamanhos). S贸 entram o Bonsai 2 oficial (Prism ML), os modelos de |
| imagem do namespace x/ (experimental, do Ollama) e a biblioteca principal. Vers玫es da comunidade ficam de fora de prop贸sito (origem desconhecida e algumas "sem filtro"). |
| Se um tamanho mudar l谩, 茅 aqui que se corrige. |
| """ |
|
|
| |
| GRUPOS = ( |
| |
| ("opentars", ( |
| ("ProjectOpenTARS/Gargantua-2:lite", "Gargantua 2 Lite", 0.617, ("vision", "tools")), |
| ("ProjectOpenTARS/Gargantua-2:latest", "Gargantua 2", 1.6, ("vision", "tools")), |
| ("ProjectOpenTARS/Gargantua:code", "Gargantua Code", 1.1, ("tools",)), |
| )), |
| ("bonsai", ( |
| ("bonsai-2:2b", "Bonsai 2 路 2B", 0.911, ("vision", "tools", "thinking")), |
| ("bonsai-2:4b", "Bonsai 2 路 4B", 1.6, ("vision", "tools", "thinking")), |
| ("bonsai-2:9b", "Bonsai 2 路 9B", 3.2, ("vision", "tools", "thinking")), |
| ("bonsai-2:27b", "Bonsai 2 路 27B", 8.3, ("vision", "tools", "thinking")), |
| )), |
| |
| |
| ("imagem", ( |
| ("x/flux2-klein:4b", "FLUX.2 klein 路 4B", 5.7, ("image",)), |
| ("x/flux2-klein:4b-fp8", "FLUX.2 klein 路 4B fp8", 9.5, ("image",)), |
| ("x/flux2-klein:4b-bf16", "FLUX.2 klein 路 4B bf16", 16.0, ("image",)), |
| ("x/flux2-klein:9b", "FLUX.2 klein 路 9B", 12.0, ("image",)), |
| ("x/flux2-klein:9b-fp8", "FLUX.2 klein 路 9B fp8", 20.0, ("image",)), |
| ("x/flux2-klein:9b-bf16", "FLUX.2 klein 路 9B bf16", 35.0, ("image",)), |
| ("x/z-image-turbo", "Z-Image Turbo 路 6B", 13.0, ("image",)), |
| ("x/z-image-turbo:bf16", "Z-Image Turbo 路 6B bf16", 33.0, ("image",)), |
| )), |
| ("geral", ( |
| ("tinyllama:1.1b", "TinyLlama 路 1.1B", 0.638, ("text",)), |
| ("qwen2.5:0.5b", "Qwen2.5 路 0.5B", 0.398, ("tools",)), |
| ("qwen3:0.6b", "Qwen3 路 0.6B", 0.523, ("tools", "thinking")), |
| ("gemma3:1b", "Gemma 3 路 1B", 0.806, ("text",)), |
| ("qwen2.5:1.5b", "Qwen2.5 路 1.5B", 0.986, ("tools",)), |
| ("deepseek-r1:1.5b", "DeepSeek-R1 路 1.5B", 1.1, ("tools", "thinking")), |
| ("qwen3:1.7b", "Qwen3 路 1.7B", 1.4, ("tools", "thinking")), |
| ("gemma2:2b", "Gemma 2 路 2B", 1.6, ("text",)), |
| ("qwen2.5:3b", "Qwen2.5 路 3B", 1.9, ("tools",)), |
| ("llama3.2:3b", "Llama 3.2 路 3B", 2.0, ("tools",)), |
| ("phi3:3.8b", "Phi-3 路 3.8B", 2.2, ("text",)), |
| ("qwen3:4b", "Qwen3 路 4B", 2.5, ("tools", "thinking")), |
| ("mistral:7b", "Mistral 路 7B", 4.4, ("tools",)), |
| ("qwen2.5:7b", "Qwen2.5 路 7B", 4.7, ("tools",)), |
| ("deepseek-r1:7b", "DeepSeek-R1 路 7B", 4.7, ("tools", "thinking")), |
| ("llama3.1:8b", "Llama 3.1 路 8B", 4.9, ("tools",)), |
| ("qwen3:8b", "Qwen3 路 8B", 5.2, ("tools", "thinking")), |
| ("deepseek-r1:8b", "DeepSeek-R1 路 8B", 5.2, ("tools", "thinking")), |
| ("gemma2:9b", "Gemma 2 路 9B", 5.4, ("text",)), |
| ("mistral-nemo:12b", "Mistral Nemo 路 12B", 7.1, ("tools",)), |
| ("phi3:14b", "Phi-3 medium 路 14B", 7.9, ("text",)), |
| ("qwen2.5:14b", "Qwen2.5 路 14B", 9.0, ("tools",)), |
| ("deepseek-r1:14b", "DeepSeek-R1 路 14B", 9.0, ("tools", "thinking")), |
| ("phi4:14b", "Phi-4 路 14B", 9.1, ("text",)), |
| ("qwen3:14b", "Qwen3 路 14B", 9.3, ("tools", "thinking")), |
| )), |
| ("visao", ( |
| ("qwen3-vl:2b", "Qwen3-VL 路 2B", 1.9, ("vision", "tools", "thinking")), |
| ("qwen3-vl:4b", "Qwen3-VL 路 4B", 3.3, ("vision", "tools", "thinking")), |
| ("gemma3:4b", "Gemma 3 路 4B", 3.4, ("vision",)), |
| ("llava:7b", "LLaVA 路 7B", 4.7, ("vision",)), |
| ("qwen3-vl:8b", "Qwen3-VL 路 8B", 6.2, ("vision", "tools", "thinking")), |
| ("llava:13b", "LLaVA 路 13B", 8.0, ("vision",)), |
| ("gemma3:12b", "Gemma 3 路 12B", 8.2, ("vision",)), |
| )), |
| ("codigo", ( |
| ("qwen2.5-coder:1.5b", "Qwen2.5-Coder 路 1.5B", 0.986, ("tools",)), |
| ("qwen2.5-coder:3b", "Qwen2.5-Coder 路 3B", 1.9, ("tools",)), |
| ("qwen2.5-coder:7b", "Qwen2.5-Coder 路 7B", 4.7, ("tools",)), |
| ("qwen2.5-coder:14b", "Qwen2.5-Coder 路 14B", 9.0, ("tools",)), |
| ("qwen2.5-coder:32b", "Qwen2.5-Coder 路 32B", 20.0, ("tools",)), |
| ("qwen3-coder:30b", "Qwen3-Coder 路 30B", 19.0, ("tools",)), |
| )), |
| |
| ("grandes", ( |
| ("gpt-oss:20b", "gpt-oss 路 20B", 14.0, ("tools", "thinking")), |
| ("gemma2:27b", "Gemma 2 路 27B", 16.0, ("text",)), |
| ("gemma3:27b", "Gemma 3 路 27B", 17.0, ("vision",)), |
| ("qwen3:30b", "Qwen3 路 30B", 19.0, ("tools", "thinking")), |
| ("qwen3:32b", "Qwen3 路 32B", 20.0, ("tools", "thinking")), |
| ("qwen2.5:32b", "Qwen2.5 路 32B", 20.0, ("tools",)), |
| ("deepseek-r1:32b", "DeepSeek-R1 路 32B", 20.0, ("tools", "thinking")), |
| ("llava:34b", "LLaVA 路 34B", 20.0, ("vision",)), |
| )), |
| ) |
|
|
| CAPACIDADES = ("vision", "tools", "thinking", "image", "text") |
| DESTAQUE = "ProjectOpenTARS/Gargantua-2:lite" |
|
|
| |
| _APELIDOS = { |
| "bonsai-2:9b": "bonsai-2:latest", |
| "gemma3:4b": "gemma3:latest", |
| "gemma2:9b": "gemma2:latest", |
| "llama3.2:3b": "llama3.2:latest", |
| "llama3.1:8b": "llama3.1:latest", |
| "qwen3:8b": "qwen3:latest", |
| "qwen3-vl:8b": "qwen3-vl:latest", |
| "qwen3-coder:30b": "qwen3-coder:latest", |
| "qwen2.5:7b": "qwen2.5:latest", |
| "qwen2.5-coder:7b": "qwen2.5-coder:latest", |
| "deepseek-r1:8b": "deepseek-r1:latest", |
| "mistral:7b": "mistral:latest", |
| "mistral-nemo:12b": "mistral-nemo:latest", |
| "llava:7b": "llava:latest", |
| "phi3:3.8b": "phi3:latest", |
| "phi4:14b": "phi4:latest", |
| "gpt-oss:20b": "gpt-oss:latest", |
| "tinyllama:1.1b": "tinyllama:latest", |
| "x/flux2-klein:4b": "x/flux2-klein:latest", |
| "x/z-image-turbo": "x/z-image-turbo:latest", |
| } |
|
|
|
|
| def todas_as_tags(): |
| return [item[0] for _, itens in GRUPOS for item in itens] |
|
|
|
|
| def _norma(tag): |
| tag = tag.strip().lower() |
| return tag if ":" in tag else tag + ":latest" |
|
|
|
|
| def instalado(tag, instalados): |
| """O modelo `tag` j谩 est谩 entre os `instalados` (lista de nomes do /api/tags)?""" |
| nomes = {_norma(n) for n in instalados} |
| return _norma(tag) in nomes or _norma(_APELIDOS.get(tag, tag)) in nomes |
|
|
|
|
| def tamanho_texto(gb): |
| return f"{round(gb * 1000)} MB" if gb < 1 else f"{gb:.1f} GB" |
|
|
|
|
| def espaco_necessario(gb): |
| """O download mais 10% e 1 GB de folga (o Ollama descompacta e guarda camadas por cima).""" |
| return gb * 1.1 + 1.0 |
|
|
|
|
| def cabe(gb, livre_gb): |
| """Cabe no disco? Sem saber o espa莽o livre (None), deixa tentar: o Ollama avisa se faltar.""" |
| return livre_gb is None or livre_gb >= espaco_necessario(gb) |
|
|
|
|
| |
| GRUPOS_RECOMENDADOS = ("geral", "visao", "codigo") |
|
|
|
|
| def hardware(vram_gb=None, ram_gb=None): |
| """{'vram_gb': placa dedicada (0 se n茫o h谩), 'ram_gb': mem贸ria}. Sem argumentos, l锚 o computador.""" |
| if vram_gb is None: |
| try: |
| import tars_primeiro_uso as pu |
| vram_gb = pu._vram_mb() / 1024 |
| except Exception: |
| vram_gb = 0.0 |
| if ram_gb is None: |
| try: |
| import psutil |
| ram_gb = psutil.virtual_memory().total / 2 ** 30 |
| except Exception: |
| ram_gb = 8.0 |
| return {"vram_gb": vram_gb if vram_gb >= 2.0 else 0.0, "ram_gb": ram_gb} |
|
|
|
|
| def avaliar(gb, hw): |
| """'otimo' (cabe na placa com folga, ou 茅 pequeno o bastante para o processador), 'ok' (roda, mais devagar) ou 'pesado'. |
| O tamanho do download aproxima a mem贸ria usada (j谩 vem quantizado).""" |
| if hw["vram_gb"]: |
| if gb <= hw["vram_gb"] * 0.8: |
| return "otimo" |
| elif gb <= min(hw["ram_gb"] * 0.3, 5.0): |
| return "otimo" |
| return "ok" if gb <= hw["ram_gb"] * 0.5 else "pesado" |
|
|
|
|
| def recomendados(hw): |
| """Em cada grupo, o maior modelo 'otimo', preferindo os que usam ferramentas e, no empate, os sem racioc铆nio longo.""" |
| achados = [] |
| for grupo, itens in GRUPOS: |
| cabem = [i for i in itens if grupo in GRUPOS_RECOMENDADOS and avaliar(i[2], hw) == "otimo"] |
| if cabem: |
| achados.append(max(cabem, key=lambda i: ("tools" in i[3], i[2], "thinking" not in i[3]))[0]) |
| return achados |
|
|
