txn545 / text-generation updated 5 months ago

Qwen3.5-122B-A10B-NVFP4

Name: Qwen3.5-122B-A10B-NVFP4
Author: txn545

The txn545/Qwen3.5-122B-A10B-NVFP4 model is a quantized version of Alibaba's Qwen3.5-122B-A10B model, an auto-regressive language model that uses an optimized transformer architecture. For more information on the base model, please check here. This model was quantized using the NVIDIA Model Optimizer.

Params

64.4 B

Context

—

Downloads 30d

162 K

Likes

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

Download history

daily snapshots · 10 days

162 K162 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	u8	82.8 GB	101.3 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/qwen3-5-122b-a10b-nvfp4-txn545
{
  "hf_id": "txn545/Qwen3.5-122B-A10B-NVFP4",
  "params_b": 64.35,
  "context_length": null,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 162485,
  "vram_estimates": [
    { "quant": "u8", "gb": 101.3 }
  ],
  "updated_at": "2026-07-28T18:08:58Z"
}

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

Specifications

Architecture: Qwen3_5MoeForConditionalGeneration
Parameters: 64.4 B
Tensor type: U8
Licence: apache-2.0
First seen on the Hub: 2026-02-24
Base model: Qwen3.5-122B-A10B
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

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

Base Qwen3.5-122B-A10B Qwen 2.2 M

Compare with

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 gpt-oss-120b 4.2 M NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4 2.8 M

Appears in

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