Virtuoso Large
Virtuoso‑Large is Arcee's top‑tier general‑purpose LLM at 72 B parameters, tuned to tackle cross‑domain reasoning, creative writing and enterprise QA. Unlike many 70 B peers, it retains the 128 k context inherited from Qwen 2.5, letting it ingest books, codebases or financial filings wholesale. Training blended DeepSeek R1 distillation, multi‑epoch supervised fine‑tuning and a final DPO/RLHF alignment stage, yielding strong performance on BIG‑Bench‑Hard, GSM‑8K and long‑context Needle‑In‑Haystack tests. Enterprises use Virtuoso‑Large as the "fallback" brain in Conductor pipelines when other SLMs flag low confidence. Despite its size, aggressive KV‑cache optimizations keep first‑token latency in the low‑second range on 8× H100 nodes, making it a practical production‑grade powerhouse.
arcee-ai/virtuoso-large
- Contexto
- 131k tokens
- Máx. completion
- 64,000
- Tools
- Sí
- JSON
- No
- Lanzamiento
- 2025-05-05
Llámalo desde Geek Hub
El mismo SDK de OpenAI. Cambia el base URL y el id del modelo.
curl https://api.geekhub.mx/v1/chat/completions \
-H "Authorization: Bearer $GEEKHUB_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "arcee-ai/virtuoso-large",
"messages": [{"role": "user", "content": "Hola"}]
}'Preguntas frecuentes
- ¿Qué es Virtuoso Large?
- Virtuoso‑Large is Arcee's top‑tier general‑purpose LLM at 72 B parameters, tuned to tackle cross‑domain reasoning, creative writing and enterprise QA. Unlike many 70 B peers, it retains the 128 k context inherited from Qwen 2.5, letting it ingest books, codebases or financial filings wholesale. Training blended DeepSeek R1 distillation, multi‑epoch supervised fine‑tuning and a final DPO/RLHF alignment stage, yielding strong performance on BIG‑Bench‑Hard, GSM‑8K and long‑context Needle‑In‑Haystack tests. Enterprises use Virtuoso‑Large as the "fallback" brain in Conductor pipelines when other SLMs flag low confidence. Despite its size, aggressive KV‑cache optimizations keep first‑token latency in the low‑second range on 8× H100 nodes, making it a practical production‑grade powerhouse. Virtuoso Large corre en el API de Geek Hub (compatible con OpenAI). Id: arcee-ai/virtuoso-large.
- ¿Virtuoso Large es gratis?
- No. El input cuesta $0.8175 / 1M tokens y el output $1.3081 / 1M tokens en Geek Hub (markup incluido).
- ¿Cuál es el contexto de Virtuoso Large?
- Virtuoso Large tiene una ventana de 131k tokens. Soporta hasta 64,000 tokens de completion.
- ¿Virtuoso Large soporta tool calling y structured outputs?
- Virtuoso Large acepta tools y tool_choice para function calling. No lista structured outputs en este endpoint.
- ¿Cuándo se lanzó Virtuoso Large?
- Virtuoso Large se lanzó el 5 de mayo de 2025.