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Open-weight model

granite-4.2-3b-oQ8e

by Michael jk797/granite-4.2-3b-oQ8e

granite-4.2-3b-oQ8e is an open-weight model from Michael, released under Apache License 2.0. It has 3.7B parameters and a 131,072-token context. At 16-bit it needs about 8.8 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.

This model was quantized using oQ (oMLX v0.7.0) mixed-precision quantization.

Parameters3.7B
Context131,072
Weights3.9 GB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Runs On

What it takes to serve granite-4.2-3b-oQ8e (3.7B 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 7.3 GB 8.8 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
8-bit 3.7 GB 4.4 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 1.8 GB 2.2 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 20, 2026.

granite-4.2-3b-oQ8e on every accelerator the SAVRN Index prices, at every precision

Model Card

By Michael, published under apache-2.0, revision 015cc82b2dcb.

This model was quantized using oQ (oMLX v0.7.0) mixed-precision quantization.

Read Michael's full model card

This model was quantized using oQ (oMLX v0.7.0) mixed-precision quantization.

Quantization details

  • Model type: granite
  • Bits: 8
  • Group size: 64
  • Format: MLX safetensors

Configuration

Architecture
GraniteForCausalLM
Context length (tokens)
131,072
Layers
40
Hidden size
2,560
Feed-forward size
8,192
Attention heads
40
Key/value heads
8
Vocabulary size
100,352
RoPE base
10,000,000
Stored precision
bfloat16
Model type
granite

Identity and Version

Repository
jk797/granite-4.2-3b-oQ8e
Publisher
Michael
Task
Not stated by the source
Modality
Other
Library
mlx
Parameters
3.7B parameters
Languages
mlx, oq
Revision
015cc82b2dcb08a1ea3bb52203c59a4855a1ef2e
First published
2026-10-05
Last updated
2026-10-05

Files and Weights

13 files, 3.9 GB in total. The weights are 1 file totalling 3.9 GB in safetensors.

Weights1 file · 3.9 GB
Configuration5 files · 20.3 KB
Tokenizer4 files · 9.7 MB
Documentation1 file · 389 B
Other1 file · 9.0 KB
Repository1 file · 1.5 KB
Every file
FileTypeSizeSHA-256
model.safetensorsWeights3.9 GB 0e87b32f9353
config.jsonConfiguration1.1 KB —
generation_config.jsonConfiguration207 B —
granite_thinking_parser.pyConfiguration4.6 KB —
oq_imatrix_report.jsonConfiguration13.8 KB —
special_tokens_map.jsonConfiguration563 B —
README.mdDocumentation389 B —
chat_template.jinjaOther9.0 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
apache-2.0
Access
Open weights, no gate
Download size
3.9 GB
Download from Michael

Released by Michael through its official repository on Hugging Face. Read the license.

Built From

  • Derived from ibm-granite/granite-4.2-3b
  • Quantized from ibm-granite/granite-4.2-3b

Memory Requirements

PrecisionWeights in memory
As published3.9 GB
16-bit7.3 GB
8-bit3.7 GB
4-bit1.8 GB

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

Questions About granite-4.2-3b-oQ8e

How much GPU memory does granite-4.2-3b-oQ8e need?

About 8.8 GB at 16-bit and 2.2 GB at 4-bit: the weights (3.7B parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run granite-4.2-3b-oQ8e 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.

Can I use granite-4.2-3b-oQ8e commercially?

Yes. granite-4.2-3b-oQ8e is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

What is granite-4.2-3b-oQ8e's context length?

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