# reka-edge-2603 [Canonical model page](https://headlessthrones.com/models/reka-reka-edge-2603) · [Model library](https://headlessthrones.com/models) Public catalog reference from Headless Thrones. Exact catalog ID: `reka-reka-edge-2603`. 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 reka-edge-2603 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/reka-reka-edge-2603#model-answer-identity) · [Access](https://headlessthrones.com/models/reka-reka-edge-2603#model-answer-access) · [Token limits](https://headlessthrones.com/models/reka-reka-edge-2603#model-answer-context) · [Inputs & outputs](https://headlessthrones.com/models/reka-reka-edge-2603#model-answer-modalities) · [Weight details](https://headlessthrones.com/models/reka-reka-edge-2603#model-answer-repository) ### Which reka-edge-2603 does this page describe? reka-edge-2603 is a model record from **Reka** in the reka family. [Source](https://huggingface.co/RekaAI/reka-edge-2603) The recorded model identifier or checkpoint is `reka-edge-2603`. Use that exact identifier when checking documentation or a provider listing. [Source](https://huggingface.co/RekaAI/reka-edge-2603) ### How can you access reka-edge-2603? The catalog documents **API and Open weights** access for reka-edge-2603. [Source](https://docs.reka.ai/chat/models) As of the catalog check, this version was listed as available. [Source](https://docs.reka.ai/chat/models) For API use, confirm the exact model identifier, your account and region, and the endpoint's current limits in the linked documentation. An API listing does not establish access through a consumer subscription. 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. This record documents API access separately. ### What are reka-edge-2603's context and output limits? The documented **context window is 16,384 tokens**. [Source](https://docs.reka.ai/chat/models) The documented **maximum output is 16,384 tokens**. [Source](https://docs.reka.ai/chat/models) 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 can reka-edge-2603 receive and generate? Documented inputs: **Text, Image, and Video**. [Source](https://docs.reka.ai/chat/models) Documented outputs: **Text**. [Source](https://huggingface.co/RekaAI/reka-edge-2603) 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 reka-edge-2603 checkpoint? This evidence refers to `RekaAI/reka-edge-2603` at recorded revision `492c81c225fbf5f3263a8245b00827721b119a13`, checked October 23, 2026. [Repository metadata](https://huggingface.co/api/models/RekaAI/reka-edge-2603) Safetensors metadata records **7,128,509,568 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/RekaAI/reka-edge-2603) Recorded architecture class: `Yasa2ForConditionalGeneration`. [Repository metadata](https://huggingface.co/api/models/RekaAI/reka-edge-2603) Repository task tag: `image-text-to-text`. A task tag identifies a distribution category; it does not measure performance on that task. [Repository metadata](https://huggingface.co/api/models/RekaAI/reka-edge-2603) Listed library: `transformers`. Check that library's version and model support before loading the weights. [Repository metadata](https://huggingface.co/api/models/RekaAI/reka-edge-2603) 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/RekaAI/reka-edge-2603) #### What the configuration file says The pinned `config.json` section `text_config` contains these values. [Pinned configuration](https://huggingface.co/RekaAI/reka-edge-2603/resolve/492c81c225fbf5f3263a8245b00827721b119a13/config.json) `max_position_embeddings`: 16,384 `rope_scaling`: {"rope\_type":"yarn","factor":2,"original\_max\_position\_embeddings":8192} `torch_dtype`: bfloat16 `num_attention_heads`: 32 `num_key_value_heads`: 8 `num_hidden_layers`: 32 `hidden_size`: 4,096 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/RekaAI/reka-edge-2603/resolve/492c81c225fbf5f3263a8245b00827721b119a13/README.md) **Catalog qualifications:** Official publisher inventory entry. Missing fields have not been verified. Repository timestamps are not release dates. [Source 1](https://huggingface.co/api/models/RekaAI/reka-edge-2603) · [Source 2](https://huggingface.co/RekaAI/reka-edge-2603/resolve/492c81c225fbf5f3263a8245b00827721b119a13/README.md) · [Source 3](https://huggingface.co/RekaAI/reka-edge-2603/resolve/492c81c225fbf5f3263a8245b00827721b119a13/config.json) **Evidence still missing here:** complete input/output pricing, knowledge and training-data cutoffs, and 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 reka models from Reka. These are separate records in the same publisher family. A shared family name does not establish equal capabilities or interchangeable licenses. ### [reka-flash-3](https://headlessthrones.com/models/reka-reka-flash-3) API · Open weights · 64,000 context tokens ### [reka-flash-3.1](https://headlessthrones.com/models/reka-reka-flash-3-1) Open weights