ibm-granite / text-generation Open weights updated 1 year ago

granite-guardian-3.3-8b

Model Summary: Granite Guardian 3.3 8b is a specialized Granite 3.3 8B model designed to judge if the input prompts and the output responses of an LLM based system meet specified criteria. The model comes pre-baked with certain criteria including but not limited to: jailbreak attempts, profanity, and hallucinations related to tool calls and retrieval augmented generation in agent-based systems. Additionally, the mode...

Params
8.2 B
Context
131,072
Downloads 30d
204 K
Likes
34
Commercial use: allowed apache-2.0 Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 60 days
▲ 0 in the last 30 days (0.0%)
218 K204 K
Aug 27Sep 16Oct 6Oct 25

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 16.3 GB 19.7 GB ⚠️ Tight — reduce context
model.safetensors (bf16, full) bf16 + 128K ctx 16.3 GB 38.1 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/granite-guardian-3-3-8b
{
  "hf_id": "ibm-granite/granite-guardian-3.3-8b",
  "params_b": 8.17,
  "context_length": 131072,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 204311,
  "vram_estimates": [
    { "quant": "bf16", "gb": 19.7 }
  ],
  "updated_at": "2026-08-27T01:00:22Z"
}
est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture
GraniteForCausalLM
Parameters
8.2 B
Tensor type
BF16
Context length
131,072
Vocabulary
49,159
Layers / heads
40 / 32
Licence
apache-2.0
First seen on the Hub
2025-06-03
Training datasets
undisclosed
Added to our catalog
2026-08-27
Compare with any text-generation model