Dolphin-Mistral-24B-Venice-Edition
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Params
24.0 B
Context
—
Downloads 30d
201 K
Likes
712
Download history
daily snapshots · 106 days
▲ 0 in the last 30 days (0.0%)
201 K201 K
Oct 12Oct 22Nov 1Nov 10
609 K181 K
Aug 13Sep 12Oct 12Nov 10
609 K181 K
Jul 28Sep 1Oct 6Nov 10
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 | 48.0 GB | 56.9 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/dolphin-mistral-24b-venice-edition
{
"hf_id": "dphn/Dolphin-Mistral-24B-Venice-Edition",
"params_b": 24.01,
"context_length": null,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 201047,
"vram_estimates": [
{ "quant": "bf16", "gb": 56.9 }
],
"updated_at": "2026-07-28T18:08:07Z"
}
Use via API
via OpenRouter · USD per 1M tokens · synced 2026-11-10$0.20
input / 1M
$0.90
output / 1M
—
cached input / 1M
$1.10
1M in + 1M out
- Context window
- 128,000 tokens
- Max output
- 8,192 tokens
- Providers
- 1
- Cheapest provider
- Venice · $0.20 / $0.90
- Best throughput
- —
- AA Intelligence / Coding / Agentic
- — / — / —
✗ Tool calling
✗ Reasoning
✓ Structured outputs
✗ Image input
✗ File input
✗ Audio input
✗ Prompt caching
Specifications
- Architecture
- Mistral3ForConditionalGeneration
- Parameters
- 24.0 B
- Tensor type
- BF16
- Licence
- apache-2.0
- First seen on the Hub
- 2025-06-12
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with any text-generation model