YuYu1015 / text-generation Open weights updated 6 months ago

Huihui-Qwen3-30B-A3B-Instruct-2507-abliterated-NVFP4

> [!TIP] > Quantized on 2026-04-13 with mlp.gate + embedtokens preserved in BF16 for MoE routing accuracy.

Params
30.0 B
Context
262,144
Downloads 30d
138 K
Likes
0
Commercial use: allowed apache-2.0 Not gated SAFETENSORS 2 languages View on Hugging Face ↗

Download history

tracking started — chart appears after 7 days of snapshots (2 recorded)
138 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.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
model.safetensors u8 18.1 GB 24.9 GB ❌ Won’t fit
model.safetensors (bf16, full) bf16 + 256K ctx 18.1 GB 164.4 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/huihui-qwen3-30b-a3b-instruct-2507-abliterated-nvfp4
{
  "hf_id": "YuYu1015/Huihui-Qwen3-30B-A3B-Instruct-2507-abliterated-NVFP4",
  "params_b": 30.00,
  "context_length": 262144,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 138204,
  "vram_estimates": [
    { "quant": "u8", "gb": 24.9 }
  ],
  "updated_at": "2026-11-09T01:00:15Z"
}
est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture
Qwen3MoeForCausalLM
Parameters
30.0 B
Tensor type
U8
Context length
262,144
Vocabulary
151,936
Layers / heads
48 / 32
Licence
apache-2.0
First seen on the Hub
2026-04-12
Training datasets
undisclosed
Added to our catalog
2026-11-09
Compare with any text-generation model