RedHatAI / text-generation updated 1 year ago

Qwen2.5-1.5B-quantized.w8a8

Name: Qwen2.5-1.5B-quantized.w8a8
Author: RedHatAI

- Model Architecture: Qwen2 - Input: Text - Output: Text - Model Optimizations: - Activation quantization: INT8 - Weight quantization: INT8 - Intended Use Cases: Intended for commercial and research use multiple languages. Similarly to Qwen2.5-1.5B, this models is intended for assistant-like chat. - Out-of-scope: Use in any manner that violates applicable laws or regulations (including trade compliance laws). - Relea...

Params

1.8 B

Context

32,768

Downloads 30d

839 K

Likes

Commercial use: allowed apache-2.0 Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

902 K831 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	i8	2.2 GB	3.2 GB	✅ Runs comfortably
model.safetensors (bf16, full)	bf16 + 32K ctx	2.2 GB	4.0 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/qwen2-5-1-5b-quantized-w8a8
{
  "hf_id": "RedHatAI/Qwen2.5-1.5B-quantized.w8a8",
  "params_b": 1.78,
  "context_length": 32768,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 839449,
  "vram_estimates": [
    { "quant": "i8", "gb": 3.2 }
  ],
  "updated_at": "2026-07-28T18:03:46Z"
}

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

Specifications

Architecture: Qwen2ForCausalLM
Parameters: 1.8 B
Tensor type: I8
Context length: 32,768
Vocabulary: 151,936
Layers / heads: 28 / 12
Licence: apache-2.0
First seen on the Hub: 2024-10-09
Base model: Qwen2.5-1.5B
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

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

Base Qwen2.5-1.5B Qwen 863 K

Compare with

Qwen3-0.6B 29.7 M Qwen2.5-1.5B-Instruct 14.0 M Llama-3.2-1B-Instruct 10.4 M Qwen3-1.7B 7.8 M Qwen2.5-3B-Instruct 6.0 M Qwen2-1.5B-Instruct 3.2 M

Appears in

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