# Virtuoso-Lite [Canonical model page](https://headlessthrones.com/models/arcee-ai-virtuoso-lite) · [Model library](https://headlessthrones.com/models) Public catalog reference from Headless Thrones. Exact catalog ID: `arcee-ai-virtuoso-lite`. Catalog source-check date: 2026-10-23. This brief contains the public catalog answers and any catalog guide, not private drafts, historical editorial revisions or independently measured rankings. The canonical HTML page may also display separately published editorial. Current catalog answers ## What to know about Virtuoso-Lite AI-compiled from linked model documentation. This is a catalog reference, not an independent performance review. Catalog checked October 23, 2026. [Exact model](https://headlessthrones.com/models/arcee-ai-virtuoso-lite#model-answer-identity) · [Access](https://headlessthrones.com/models/arcee-ai-virtuoso-lite#model-answer-access) · [Token limits](https://headlessthrones.com/models/arcee-ai-virtuoso-lite#model-answer-context) · [Dates & knowledge](https://headlessthrones.com/models/arcee-ai-virtuoso-lite#model-answer-dates) · [Inputs & outputs](https://headlessthrones.com/models/arcee-ai-virtuoso-lite#model-answer-modalities) · [Weight details](https://headlessthrones.com/models/arcee-ai-virtuoso-lite#model-answer-repository) ### Which Virtuoso-Lite does this page describe? Virtuoso-Lite is a model record from **Arcee AI** in the Virtuoso family. [Source](https://huggingface.co/arcee-ai/Virtuoso-Lite) A separate version identifier is not documented in this record; the model name alone does not establish which snapshot a service runs. ### How can you access Virtuoso-Lite? The catalog documents **Open weights** access for Virtuoso-Lite. [Source](https://huggingface.co/arcee-ai/Virtuoso-Lite) As of the catalog check, this version was listed without confirmed general availability. [Source](https://huggingface.co/arcee-ai/Virtuoso-Lite) Open weights means the model weights are distributed for use under their stated terms. It does not establish a hosted API, an open-source license, or a hardware requirement. ### What are Virtuoso-Lite's context and output limits? The documented **context window is 32,000 tokens**. [Source](https://huggingface.co/arcee-ai/Virtuoso-Lite) A separate maximum-output value is not established in this record. The context or input figure should not be used as an output allowance. Context, input and output limits describe different constraints. Do not add the figures together to infer a larger window. Check the endpoint's accounting for conversation history, system instructions, tools, media and generated tokens; a documented maximum is not a guarantee of answer quality or a measured usable capacity. ### What dates are documented for Virtuoso-Lite? **Knowledge cutoff: June 2024.** [Source](https://huggingface.co/arcee-ai/Virtuoso-Lite) This labels the documented knowledge boundary; it is not a promise that every earlier fact is known or correct. Retrieval or web tools can supply newer information at run time. That does not change the model's recorded training or knowledge dates, and this record does not establish that a particular endpoint includes those tools. ### What can Virtuoso-Lite receive and generate? Documented inputs: **text**. [Source](https://huggingface.co/arcee-ai/Virtuoso-Lite) Documented outputs: **text**. [Source](https://huggingface.co/arcee-ai/Virtuoso-Lite) Input support and output generation are separate capabilities. Reading an image does not establish image generation; a text output listing does not establish speech output. File sizes, formats and media limits depend on the documented implementation. ### What is documented about the Virtuoso-Lite checkpoint? This evidence refers to `arcee-ai/Virtuoso-Lite` at recorded revision `d0d005aa0414553058e6902ca66cf4ac5ac3b0d0`, checked October 23, 2026. [Repository metadata](https://huggingface.co/api/models/arcee-ai/Virtuoso-Lite) Safetensors metadata records **10,305,653,760 stored parameters**. This is a stored-weight count, not necessarily the number activated per token, a download size or a GPU-memory requirement. [Repository metadata](https://huggingface.co/api/models/arcee-ai/Virtuoso-Lite) Recorded architecture class: `LlamaForCausalLM`. [Repository metadata](https://huggingface.co/api/models/arcee-ai/Virtuoso-Lite) Repository task tag: `text-generation`. A task tag identifies a distribution category; it does not measure performance on that task. [Repository metadata](https://huggingface.co/api/models/arcee-ai/Virtuoso-Lite) Listed library: `transformers`. Check that library's version and model support before loading the weights. [Repository metadata](https://huggingface.co/api/models/arcee-ai/Virtuoso-Lite) Repository access gate: `false`. This records the repository's gate setting when checked; licensing and use terms still apply. [Repository metadata](https://huggingface.co/api/models/arcee-ai/Virtuoso-Lite) #### What the configuration file says The pinned `config.json` contains these values. [Pinned configuration](https://huggingface.co/arcee-ai/Virtuoso-Lite/resolve/d0d005aa0414553058e6902ca66cf4ac5ac3b0d0/config.json) `max_position_embeddings`: 32,768 `torch_dtype`: bfloat16 `num_attention_heads`: 12 `num_key_value_heads`: 4 `num_hidden_layers`: 40 `hidden_size`: 3,072 Configuration values describe the checkpoint and its implementation. In particular, max\_position\_embeddings, sliding\_window and rope\_scaling do not independently establish an API context limit, tested usable length or hardware requirement. Runtime, quantization, cache, batch size and input length affect deployment behavior. Read the retrieved model card for setup and qualifications. [Model card](https://huggingface.co/arcee-ai/Virtuoso-Lite/resolve/d0d005aa0414553058e6902ca66cf4ac5ac3b0d0/README.md) **Catalog qualifications:** Official publisher model repository; listed status confirms a catalog entry, not a verified hosted API service. Context is the publisher’s nominal 32k token figure (K/M normalized decimally), not a tested request limit. Context specification includes configuration qualifications; consult the cited model card. [Source 1](https://huggingface.co/api/models/arcee-ai/Virtuoso-Lite) · [Source 2](https://huggingface.co/arcee-ai/Virtuoso-Lite/resolve/d0d005aa0414553058e6902ca66cf4ac5ac3b0d0/README.md) · [Source 3](https://huggingface.co/arcee-ai/Virtuoso-Lite/resolve/d0d005aa0414553058e6902ca66cf4ac5ac3b0d0/config.json) **Evidence still missing here:** tested hardware requirements. Missing documentation is not evidence that a feature is unavailable. Headless Thrones has not independently benchmarked this model for this reference. Evaluate it on representative work before choosing it; these facts do not rank its accuracy, reliability, speed or suitability against another model. Keep the exact version in view ## Other Virtuoso models from Arcee AI. These are separate records in the same publisher family. A shared family name does not establish equal capabilities or interchangeable licenses. ### [Virtuoso-Large](https://headlessthrones.com/models/arcee-ai-virtuoso-large) Open weights ### [Virtuoso-Lite-PreDistill](https://headlessthrones.com/models/arcee-ai-virtuoso-lite-predistill) Open weights · 128,000 context tokens ### [Virtuoso-Medium-v2](https://headlessthrones.com/models/arcee-ai-virtuoso-medium-v2) Open weights · 128,000 context tokens ### [Virtuoso-Small](https://headlessthrones.com/models/arcee-ai-virtuoso-small) Open weights ### [Virtuoso-Small-v2](https://headlessthrones.com/models/arcee-ai-virtuoso-small-v2) Open weights · 128,000 context tokens