- Source
- Model registry API
- Verified
- 19 Sep 2026
- Confidence
- High
01What this is
- Author
- Reka AI
- Family
- Reka Edge
- Task
- text-generation
- Hugging Face
- RekaAI/reka-edge-2603
- OpenRouter
- rekaai/reka-edge
- Also known as
- Reka Edge, reka-edge, reka edge 2603
02Registry facts
- LicenceFACT
other
- FreshRetrieved 19 Sep 2026
- ParametersFACT
7.1B
- FreshRetrieved 19 Sep 2026
- Context lengthFACT
not returned by the registry
- Evidence not verified
- Downloads (30 days)FACT
568
- FreshRetrieved 19 Sep 2026
- LikesFACT
133
- FreshRetrieved 19 Sep 2026
- GatedFACT
no
- FreshRetrieved 19 Sep 2026
Model
- downloadsFACT
568
- Verification may be outdatedRetrieved 19 Sep 2026
- gatedFACT
false
- Verification may be outdatedRetrieved 19 Sep 2026
- hosted context length · RekaFACT
16384
- Verification may be outdatedRetrieved 19 Sep 2026
- likesFACT
133
- Verification may be outdatedRetrieved 19 Sep 2026
- model licenseFACT
other
- Verification may be outdatedRetrieved 19 Sep 2026
- parameter countFACT
7128509568
- Verification may be outdatedRetrieved 19 Sep 2026
Pricing
- hosted price completion per m · RekaFACT
0.1000
- AgeingRetrieved 19 Sep 2026
- hosted price prompt per m · RekaFACT
0.1000
- AgeingRetrieved 19 Sep 2026
Other
- last modifiedFACT
2026-04-24T02:35:13.000Z
- Verification may be outdatedRetrieved 19 Sep 2026
- libraryFACT
transformers
- AgeingRetrieved 19 Sep 2026
03VRAM by quantisation
Peak VRAM for serving this model, computed by lib/deployment/hardware.ts from weights + KV cache + 15% runtime overhead. Inputs: 7.1B parameters, 8,192 tokens of context (assumed — none fetched yet), 4 concurrent requests (assumed).
| Quantisation | Weights | Total |
|---|---|---|
| bf16bf16 is two bytes per weight, the same arithmetic as fp16. | 14.26 GB | 21.95 GB |
| int8 | 7.13 GB | 13.75 GB |
| q4_k_mSized as 4-bit weights. Q4_K_M averages nearer 4.5 bits in practice, so read this as a floor. | 3.56 GB | 9.66 GB |
What this estimate assumes
- Weights: 7.1B parameters × 2 bytes per parameter (fp16) = 14.26 GB.
- No model configuration was supplied, so the KV cache uses the size heuristic for this band: 0.147 MB per token, from Qwen3-8B (36 layers × 8 KV heads × 128 head dim).
- KV cache: 0.147 MB per token × 8,192 tokens of context × 4 concurrent requests = 4.83 GB, sized for every user holding a full context at once.
- Overhead: 15% of weights plus KV cache for the runtime, activations and memory fragmentation = 2.86 GB.
- GB means 10⁹ bytes, matching how GPU memory is advertised.
- KV cache held at fp16 (2 bytes per element); quantising weights does not by itself quantise the cache.
- Peak figure, not average: prefix caching and paged attention usually keep real usage lower, while speculative decoding, CUDA graphs and a second resident model push it higher.
- "Concurrent" counts requests generated at the same instant, not people: 4 simultaneous requests is the worst case this estimate is built on — measure yours before buying.
04Hardware profiles
No hardware profile was sized for this answer.
05Hosted providers
- Prompt (per million tokens, USD)FACT
0.09999999999999999
Source: openrouter
- FreshRetrieved 19 Sep 2026
- Completion (per million tokens, USD)FACT
0.09999999999999999
- FreshRetrieved 19 Sep 2026
| Provider | Context |
|---|---|
| Reka | 16,384 |
06Deployment stacks
No published deployment stack names this model yet.
07Evidence
- 01–03Tier 4official repository / model cardOpenRouter
OpenRouter endpoints — rekaai/reka-edge
https://openrouter.ai/api/v1/models/rekaai/reka-edge/endpoints
Verification may be outdatedRetrieved 19 Sep 2026sha256:34b6608fc3763 records · ·
- 04–10Tier 4official repository / model cardHugging Face Hub
Hugging Face model card data — RekaAI/reka-edge-2603
https://huggingface.co/api/models/RekaAI/reka-edge-2603
Verification may be outdatedRetrieved 19 Sep 2026sha256:c459848300f27 records · · · · · ·
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