Models / TheDrummer/ Cydonia 24B V4.1

Cydonia 24B V4.1

TheDrummer · released Aug 17, 2025 · thedrummer/cydonia-24b-v4.1

Input: text. Output: text.InputOutput
Type
Open weights
Params
23.6B
Context
131K

about 98K words of context

Our take

We have not written a summary of this model yet.

00

How good is it?

We hold no score for this model.

We look for every model we track on every board we watch, and none of them has turned up Cydonia 24B V4.1 — so there is no intelligence, coding, agentic or writing score to show you, not a low one, none.

The boards we watch →

01

Can you run it yourself?

Fits in memory
weights load entirely on the card
Spills to system RAM
some weights offload; much slower
Too large
will not load even with offload
est
size is calculated; the verdict could change by 10%

Comfortable fit

A card many people ownFits in memory

GeForce RTX 4090 · 24 GB

Weights at Q4_K_M14.9 / 24 GBest
Spare memory5.9 GB spare
Usable context33K of 131K
Decode speed56 tok/sest

Room to spare. 5.9 GB spare means a 10% error in the size would not change the answer.

One step upFits in memory

GeForce RTX 5090 · 32 GB

Weights at Q4_K_M14.9 / 32 GBest
Spare memory13.9 GB spare
Usable context66K of 131K
Decode speed100 tok/sest

Room to spare. 13.9 GB spare means a 10% error in the size would not change the answer.

On a MacFits in memoryest

Apple M2 (10-core GPU) · 24 GB

Weights at Q4_K_M14.9 / 24 GBest
Spare memory1.1 GB spare
Usable context8K of 131K
Decode speed5 tok/sest

Borderline fit on an estimated size. It leaves 1.1 GB spare on a size we calculated rather than measured, and a 10% error either way would change the answer.

Your hardware
Checking your profile…

Memory use by level

Against a 24 GB card.

Q4_K_M
recommended
14.9 GBest
Fits in memory
Q5_K_M
17.5 GBest
Fits in memory
Q8_0
26.1 GBest
Spills to system RAM

All 3 sizes here are calculated, not measured. We hold no measured file for this model, so each size comes from the parameter count and every verdict above inherits that uncertainty.

Check against your own machine → · All 71 devices, with every size →

02

Or rent it from someone else

Cheapest published offer

Cheapest of 2 live listings. Picked at the widest standard context we hold, within one quantisation slice, so the numbers beside it are a price one host actually charges.

per 1M tokens
$0.30 in / $0.50 out
Context served
131K
Throughput
Not measured
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenRouter$0.30 / $0.50131Knot measuredUnknownUnknownUnknown
Parasailbf16$0.30 / $0.50131K12 tok/sNoNoConfirmed

Across the 2 listings we hold: 1 say they do not train on prompts, 0 say they do and 1 do not say. 1 appear in the zero-retention registry we check; the rest are unknown to us rather than confirmed either way.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

Supported
Not supported
Not published
host gave no parameter list
API features per host
ProviderTool callingJSON outputStrict schema
OpenRouter
Parasailbf16

Tool calling: 0 of 2 listings say yes, 2 say no. JSON output: 2 of 2 listings say yes. Strict schema: 2 of 2 listings say yes.

03

When we formed this view

Dates behind this page

Jul 26, 2026ListedListed on LLMapfirst indexed by our pipeline
Aug 17, 2025AnnouncedCydonia 24B V4.1 announced by TheDrummer

Prices last checked 35h ago

What we do not know about this model yet

  • We hold no measured file for it, so all 3 sizes on this page are calculated from the parameter count.
  • No board we watch has turned up a score, so we hold no quality figures at all.
  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 1 of 2 listings do not say whether they train on prompts.
04

Licence and identifiers

What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.

Licence

We hold no licence record for this model yet.

Identifiers

Architecture
Dense
Modality record
text->text
Catalogue slug
thedrummer-cydonia-24b-v4-1

Machine-readable model card (omc.json) →

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