bigscience / text-generation updated 2 years ago

bloom-560m

Name: bloom-560m
Author: bigscience

BLOOM LM BigScience Large Open-science Open-access Multilingual Language Model Model Card

Params

560 M

Context

—

Downloads 30d

628 K

Likes

376

Commercial use: conditional · bigscience-bloom-rail-1.0 Not gated SAFETENSORS 48 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

651 K621 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	f16	1.1 GB	1.8 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/bloom-560m
{
  "hf_id": "bigscience/bloom-560m",
  "params_b": 0.56,
  "context_length": null,
  "license": { "id": "bigscience-bloom-rail-1.0", "commercial": "conditional" },
  "downloads_30d": 627684,
  "vram_estimates": [
    { "quant": "f16", "gb": 1.8 }
  ],
  "updated_at": "2026-07-28T18:04:30Z"
}

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

Specifications

Architecture: BloomForCausalLM
Parameters: 560 M
Tensor type: F16
Vocabulary: 250,880
Licence: bigscience-bloom-rail-1.0
First seen on the Hub: 2022-05-19
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with

Qwen3-0.6B 29.7 M Qwen2.5-1.5B-Instruct 14.0 M gpt2 13.7 M Llama-3.2-1B-Instruct 10.4 M Qwen2.5-0.5B-Instruct 6.6 M gemma-3-1b-it 4.7 M

Appears in

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