Cydonia-24B-v4.1
> I have to praise this model for good focus. I said earlier that it still remembers it at 12K. I think my personal evaluation of it has already beaten the rest.
Params
23.6 B
Context
131,072
Downloads 30d
4 K
Likes
83
Download history
tracking started — chart appears after 7 days of snapshots (6 recorded)4 K downloads in the last 30 days
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 47.1 GB | 55.9 GB | ❌ Won’t fit |
| model.safetensors (bf16, full) | bf16 + 128K ctx | 47.1 GB | 108.9 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Run it
copy-paste, exact tags checked against the Hub$ curl -s https://aimodelscomparison.com/api/v1/models/cydonia-24b-v4-1
{
"hf_id": "TheDrummer/Cydonia-24B-v4.1",
"params_b": 23.57,
"context_length": 131072,
"license": { "id": "", "commercial": "unknown" },
"downloads_30d": 3668,
"vram_estimates": [
{ "quant": "bf16", "gb": 55.9 }
],
"updated_at": "2026-10-19T06:00:33Z"
}
Use via API
via OpenRouter · USD per 1M tokens · synced 2026-10-24$0.30
input / 1M
$0.50
output / 1M
$0.15
cached input / 1M
$0.80
1M in + 1M out
- Context window
- 131,072 tokens
- Max output
- 117,964 tokens
- Providers
- 1
- Cheapest provider
- Parasail · $0.30 / $0.50
- Best throughput
- —
- AA Intelligence / Coding / Agentic
- — / — / —
✗ Tool calling
✗ Reasoning
✓ Structured outputs
✗ Image input
✗ File input
✗ Audio input
✓ Prompt caching
Specifications
- Architecture
- MistralForCausalLM
- Parameters
- 23.6 B
- Tensor type
- BF16
- Context length
- 131,072
- Vocabulary
- 131,072
- Layers / heads
- 40 / 32
- First seen on the Hub
- 2025-08-17
- Training datasets
- undisclosed
- Added to our catalog
- 2026-10-20
Compare with any text-generation model