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Open-weight model

civilian-sim-3b-v2-onnx

by Adam Poum AI-damP/civilian-sim-3b-v2-onnx

civilian-sim-3b-v2-onnx is an open-weight model from Adam Poum. It has 131,072-token context. Its published files total 2.6 GB.

Parameters—
Context131,072
Weights1.3 MB
License—
AccessOpen weights
Monthly Downloads—

Model Card

The publisher has not written a card for this model.

Configuration

Architecture
LlamaForCausalLM
Context length (tokens)
131,072
Layers
28
Hidden size
3,072
Feed-forward size
8,192
Attention heads
24
Key/value heads
8
Head dimension
128
Vocabulary size
128,256
Stored precision
bfloat16
Model type
llama

Identity and Version

Repository
AI-damP/civilian-sim-3b-v2-onnx
Publisher
Adam Poum
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
Not stated by the source
Languages
Not stated by the source
Revision
5876330d0ce675cf4a885cb737f8b70d14584e23
First published
2026-10-14
Last updated
2026-10-14

Files and Weights

9 files, 2.6 GB in total. The weights are 1 file totalling 1.3 MB in onnx.

Weights1 file · 1.3 MB
Configuration2 files · 1.3 KB
Tokenizer2 files · 17.3 MB
Other3 files · 2.6 GB
Repository1 file · 1.7 KB
Every file
FileTypeSizeSHA-256
onnx/model_q4f16.onnxWeights1.3 MB f2c8cc5623bd
config.jsonConfiguration1.1 KB —
generation_config.jsonConfiguration234 B —
chat_template.jinjaOther255 B —
onnx/model_q4f16.onnx_dataOther1.9 GB 988fb1665631
onnx/model_q4f16.onnx_data_1Other721.8 MB 427a9da3a300
.gitattributesRepository1.7 KB —
tokenizer.jsonTokenizer17.2 MB 6b9e4e7fb171
tokenizer_config.jsonTokenizer51.0 KB —

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download size
1.3 MB
Download from Adam Poum

Released by Adam Poum through its official repository on Hugging Face.

Memory Requirements

PrecisionWeights in memory
As published1.3 MB

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

Questions About civilian-sim-3b-v2-onnx

What is civilian-sim-3b-v2-onnx's context length?

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