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
- Context
- 131k tokens
- Completion cap
- 64,000
- Tools
- Yes
- JSON
- No
- Released
- 2025-05-05
Call it from Geek Hub
Same OpenAI SDK. Change the base URL and the model id.
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"}]
}'Frequently asked questions
- What is 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 runs on the Geek Hub API (OpenAI-compatible). Model id: arcee-ai/virtuoso-large.
- Is Virtuoso Large free?
- No. Input is $0.8175 per 1M tokens and output is $1.3081 per 1M tokens on Geek Hub (markup included).
- What is the context length of Virtuoso Large?
- Virtuoso Large has a 131k tokens context window. It supports up to 64,000 completion tokens.
- Does Virtuoso Large support tool calling and structured outputs?
- Virtuoso Large accepts tools and tool_choice for function calling. Structured outputs are not listed for this endpoint.
- When was Virtuoso Large released?
- Virtuoso Large was released on 2025-05-05.