dphn / text-generation updated 1 month ago

Dolphin-Mistral-24B-Venice-Edition

Name: Dolphin-Mistral-24B-Venice-Edition
Author: dphn

Website: https://dphn.ai Twitter: https://x.com/dphnAI Web Chat: https://chat.dphn.ai Telegram bot: https://t.me/DolphinAIbot

Params

24.0 B

Context

—

Downloads 30d

205 K

Likes

627

Commercial use: allowed apache-2.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

205 K202 K

Jul 28Jul 31Aug 3Aug 6

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 · api/v1

$ 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": 204565,
  "vram_estimates": [
    { "quant": "bf16", "gb": 56.9 }
  ],
  "updated_at": "2026-07-28T18:08:07Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

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

Qwen3-8B 16.3 M Qwen2.5-7B-Instruct 12.1 M Qwen3.6-35B-A3B-NVFP4 11.3 M gpt-oss-20b 8.6 M Qwen3-32B 8.3 M dolphin-2.9.1-yi-1.5-34b 4.6 M

Appears in

Best open coding models Commercial-use text models Models that fit in 12 GB