- Source
- Model registry API
- Verified
- 19 Sep 2026
- Confidence
- High
01What this is
- Author
- Arcee AI
- Family
- Trinity
- Task
- text-generation
- Hugging Face
- arcee-ai/Trinity-Large-Thinking
- OpenRouter
- arcee-ai/trinity-large-thinking
- Also known as
- Trinity Large, trinity-large-thinking, arcee trinity
02Registry facts
- LicenceFACT
other
- FreshRetrieved 19 Sep 2026
- ParametersFACT
398.6B
- FreshRetrieved 19 Sep 2026
- Context lengthFACT
not returned by the registry
- Evidence not verified
- Downloads (30 days)FACT
1,775
- FreshRetrieved 19 Sep 2026
- LikesFACT
189
- FreshRetrieved 19 Sep 2026
- GatedFACT
no
- FreshRetrieved 19 Sep 2026
Model
- downloadsFACT
1775
- Verification may be outdatedRetrieved 19 Sep 2026
- gatedFACT
false
- Verification may be outdatedRetrieved 19 Sep 2026
- hosted context length · Arcee AIFACT
262144
- Verification may be outdatedRetrieved 19 Sep 2026
- likesFACT
189
- Verification may be outdatedRetrieved 19 Sep 2026
- model licenseFACT
other
- Verification may be outdatedRetrieved 19 Sep 2026
- parameter countFACT
398635286016
- Verification may be outdatedRetrieved 19 Sep 2026
Pricing
- hosted price completion per m · Arcee AIFACT
0.8000
- AgeingRetrieved 19 Sep 2026
- hosted price prompt per m · Arcee AIFACT
0.2500
- AgeingRetrieved 19 Sep 2026
Other
- last modifiedFACT
2026-05-28T22:45:34.000Z
- 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: 398.6B 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. | 797.27 GB | 934.15 GB |
| fp8 | 398.64 GB | 475.72 GB |
| int4 | 199.32 GB | 246.5 GB |
What this estimate assumes
- Weights: 398.6B parameters × 2 bytes per parameter (fp16) = 797.27 GB.
- No model configuration was supplied, so the KV cache uses the size heuristic for this band: 0.459 MB per token, from extrapolated above 90B — no configuration was fetched for this band.
- KV cache: 0.459 MB per token × 8,192 tokens of context × 4 concurrent requests = 15.03 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 = 121.85 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
0.25
Source: openrouter
- FreshRetrieved 19 Sep 2026
- Completion (per million tokens, USD)FACT
0.7999999999999999
- FreshRetrieved 19 Sep 2026
| Provider | Context |
|---|---|
| Arcee AI | 262,144 |
06Deployment stacks
No published deployment stack names this model yet.
07Evidence
- 01–03Tier 4official repository / model cardOpenRouter
OpenRouter endpoints — arcee-ai/trinity-large-thinking
https://openrouter.ai/api/v1/models/arcee-ai/trinity-large-thinking/endpoints
Verification may be outdatedRetrieved 19 Sep 2026sha256:645897a0598c3 records · ·
- 04–10Tier 4official repository / model cardHugging Face Hub
Hugging Face model card data — arcee-ai/Trinity-Large-Thinking
https://huggingface.co/api/models/arcee-ai/Trinity-Large-Thinking
Verification may be outdatedRetrieved 19 Sep 2026sha256:f02b5098708d7 records · · · · · ·
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