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Open-weight model

granite-guardian-4.1-8b-smoothquant-w8a8

by Marcus Nogueira marcusnogueira/granite-guardian-4.1-8b-smoothquant-w8a8

granite-guardian-4.1-8b-smoothquant-w8a8 is an open-weight model from Marcus Nogueira. It has 8.8B parameters and a 131,072-token context. At 16-bit it needs about 21.1 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.

SmoothQuant + GPTQ W8A8 INT8 checkpoint of ibm-granite/granite-guardian-4.1-8b at immutable revision ab01ccca5dcfb80246369a086a4a87a29198f5af.

Parameters8.8B
Context131,072
Weights9.6 GB
License—
AccessOpen weights
Monthly Downloads—

Runs On

What it takes to serve granite-guardian-4.1-8b-smoothquant-w8a8 (8.8B parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.

PrecisionWeightsMemory neededCheapest setupPer hourAlso fits
16-bit 17.6 GB 21.1 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
8-bit 8.8 GB 10.5 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 4.4 GB 5.3 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00

Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the SAVRN Index, read Oct 19, 2026.

granite-guardian-4.1-8b-smoothquant-w8a8 on every accelerator the SAVRN Index prices, at every precision

Model Card

SmoothQuant + GPTQ W8A8 INT8 checkpoint of ibm-granite/granite-guardian-4.1-8b at immutable revision ab01ccca5dcfb80246369a086a4a87a29198f5af. - Smoothing strength (alpha): 0.5 The resolved base revision, full quantization configuration, package versions, architecture mapping inventory, tensor inventory, and file hashes are included in the checkpoint metadata. vLLM smoke-test evidence is added before publication. This checkpoint passed four fixed English/Portuguese safe/unsafe smoke cases in BF16 with vLLM 0.31.0 on an NVIDIA A40. vLLM loaded the serialized compressed-tensors W8A8 configuration directly; no on-the-fly quantization was used. BF16 is the selected runtime compute dtype for the…

Excerpt from the card by Marcus Nogueira.

Configuration

Architecture
GraniteForCausalLM
Context length (tokens)
131,072
Layers
40
Hidden size
4,096
Feed-forward size
12,800
Attention heads
32
Key/value heads
8
Vocabulary size
100,352
RoPE base
10,000,000
Model type
granite
Quantization
compressed-tensors

Identity and Version

Repository
marcusnogueira/granite-guardian-4.1-8b-smoothquant-w8a8
Publisher
Marcus Nogueira
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
8.8B parameters
Languages
en, pt
Revision
d7b5761947c2eb8a9fe0d06a6c68badd34ca17e0
First published
2026-10-15
Last updated
2026-10-15

Files and Weights

21 files, 9.6 GB in total. The weights are 3 files totalling 9.6 GB in safetensors.

Weights3 files · 9.6 GB
Configuration10 files · 73.8 KB
Tokenizer4 files · 9.7 MB
Documentation1 file · 1.9 KB
Other2 files · 7.8 KB
Repository1 file · 1.5 KB
Every file
FileTypeSizeSHA-256
model-00001-of-00003.safetensorsWeights4.0 GB fdf019c54a32
model-00002-of-00003.safetensorsWeights4.0 GB 93ab5ba3ec25
model-00003-of-00003.safetensorsWeights1.7 GB a71dec629691
calibration_manifest.jsonConfiguration309 B —
config.jsonConfiguration2.0 KB —
generation_config.jsonConfiguration147 B —
model.safetensors.index.jsonConfiguration54.3 KB —
quantization_manifest.jsonConfiguration6.5 KB —
recipe.yamlConfiguration483 B —
runtime_environment.jsonConfiguration584 B —
special_tokens_map.jsonConfiguration579 B —
verification.jsonConfiguration2.8 KB —
vllm_smoke_bfloat16.jsonConfiguration6.0 KB —
README.mdDocumentation1.9 KB —
SHA256SUMSOther1.7 KB —
chat_template.jinjaOther6.1 KB —
.gitattributesRepository1.5 KB —
merges.txtTokenizer916.6 KB —
tokenizer.jsonTokenizer7.2 MB —
tokenizer_config.jsonTokenizer17.7 KB —
vocab.jsonTokenizer1.6 MB —

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download size
9.6 GB
Download from Marcus Nogueira

Released by Marcus Nogueira through its official repository on Hugging Face.

Built From

  • Derived from ibm-granite/granite-guardian-4.1-8b
  • Quantized from ibm-granite/granite-guardian-4.1-8b

Memory Requirements

PrecisionWeights in memory
As published9.6 GB
16-bit17.6 GB
8-bit8.8 GB
4-bit4.4 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About granite-guardian-4.1-8b-smoothquant-w8a8

How much GPU memory does granite-guardian-4.1-8b-smoothquant-w8a8 need?

About 21.1 GB at 16-bit and 5.3 GB at 4-bit: the weights (8.8B parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run granite-guardian-4.1-8b-smoothquant-w8a8 on?

At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.

What is granite-guardian-4.1-8b-smoothquant-w8a8's context length?

131,072 tokens, from the maximum position embeddings in its published configuration.