Qwen / text-generation updated 1 year ago

Qwen2.5-3B-Instruct-AWQ

Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:

Params
3.4 B
Context
32,768
Downloads 30d
220 K
Likes
16
Licence: other Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

tracking started — chart appears after 7 days of snapshots (5 recorded)
220 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 i32 2.7 GB 4.0 GB ✅ Runs comfortably
model.safetensors (bf16, full) bf16 + 32K ctx 2.7 GB 5.5 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/qwen2-5-3b-instruct-awq
{
  "hf_id": "Qwen/Qwen2.5-3B-Instruct-AWQ",
  "params_b": 3.40,
  "context_length": 32768,
  "license": { "id": "other", "commercial": "unknown" },
  "downloads_30d": 219860,
  "vram_estimates": [
    { "quant": "i32", "gb": 4.0 }
  ],
  "updated_at": "2026-08-02T01:00:33Z"
}
est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture
Qwen2ForCausalLM
Parameters
3.4 B
Tensor type
I32
Context length
32,768
Vocabulary
151,936
Layers / heads
36 / 16
Licence
other
First seen on the Hub
2024-09-17
Base model
Qwen2.5-3B-Instruct
Training datasets
undisclosed
Added to our catalog
2026-08-02

Family

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