InternScience / text-generation updated 3 weeks ago

Agents-A1-4B

> [!Note] > This repository contains model weights and configuration files for Agents-A1 in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, etc.

Params
4.5 B
Context
Downloads 30d
167 K
Likes
72
Commercial use: allowed apache-2.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

tracking started — chart appears after 7 days of snapshots (1 recorded)
167 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 bf16 9.1 GB 11.2 GB ✅ Runs comfortably
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/agents-a1-4b
{
  "hf_id": "InternScience/Agents-A1-4B",
  "params_b": 4.54,
  "context_length": null,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 167147,
  "vram_estimates": [
    { "quant": "bf16", "gb": 11.2 }
  ],
  "updated_at": "2026-08-07T01:00:38Z"
}
est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture
Qwen3_5ForConditionalGeneration
Parameters
4.5 B
Tensor type
BF16
Licence
apache-2.0
First seen on the Hub
2026-07-13
Training datasets
undisclosed
Added to our catalog
2026-08-07
Sponsored · GPU cloud
Not enough VRAM?
Spin up a 24 GB L4 instance in 40 seconds. $0.44/hr.