droplychee / text-generation updated 1 week ago

droplychee-1.0-27b

Name: droplychee-1.0-27b
Author: droplychee

Droplychee-1.0-27B is a multilingual decoder-only large language model developed by Droplychee AI Research. The model is built upon Qwen/Qwen3.6-27B and further refined through full supervised fine-tuning and model merging.

Params

27.8 B

Context

—

Downloads 30d

252 K

Likes

Commercial use: allowed apache-2.0 Not gated SAFETENSORS 2 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

252 K252 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	55.6 GB	65.8 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/droplychee-1-0-27b
{
  "hf_id": "droplychee/droplychee-1.0-27b",
  "params_b": 27.78,
  "context_length": null,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 252389,
  "vram_estimates": [
    { "quant": "bf16", "gb": 65.8 }
  ],
  "updated_at": "2026-07-28T18:07:12Z"
}

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

Specifications

Architecture: Qwen3_5ForConditionalGeneration
Parameters: 27.8 B
Tensor type: BF16
Licence: apache-2.0
First seen on the Hub: 2026-07-17
Base model: Qwen3.6-27B
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

Base model and the most-downloaded derivatives in the catalog.

Base Qwen3.6-27B Qwen 7.0 M

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

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