Foundation AI

Antares 350M

Aktuell
1.2KDownloads50LikesJul 2026Veröffentlicht33K TokenKontextApache 2.0Lizenz31 BasisQualität

Antares 350M (0.3499999940395355B parameters) requires approximately 2.4 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 3 GB of VRAM.

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Copy-paste commands to run Antares 350M on your machine.

Run

docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \ --hf-repo "fdtn-ai/antares-350m" \ --hf-file "antares-350m-Q4_K_M.gguf" \ -c 4096 -ngl 99

Quick specs

Parameters0.35B
Architecturedense
Context33K tokens
Modalitytext
Min RAM0.1 GB
Rec. RAM0.2 GB (Q4_K_M)
LicenseApache 2.0
FamilyAntares

About this model

Antares 350M is the smallest member of Foundation AI's security-focused Antares family, post-trained on IBM's Granite 4.0 350M. At 0.35B parameters it is designed for embedded and always-on security agent workloads that must run on CPU with a minimal memory budget.

  • 0.35B parameters — under 300MB at Q4, runs on almost anything.
  • Security and vulnerability-detection focus, same recipe as Antares 1B.
  • Built on IBM Granite 4.0 350M.
  • 32,768-token context.
  • Apache 2.0 licensed.

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Schnellauswahl

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Quantisierungsoptionen

VRAM-Schätzungen nach Quantisierungsstufe

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q1_0_G128
1.125
0.1 GB
Very Low
Q2_0_G128
1.71
0.1 GB
Low
Q2_K
2
0.1 GB
Low
Q3_K_S
3
0.2 GB
Low
NVFP4
4
0.2 GB
Medium
Q4_K_M
4
0.2 GB
Medium
Q5_K_M
5
0.3 GB
High
Q6_K
6
0.3 GB
High
Q8_0
8
0.4 GB
Very High
F16
16
0.7 GB
Maximum

Hardware-Kompatibilität

Eignungsschätzungen für alle Hardware

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Computing compatibility...

Speicheraufschlüsselung

Reference: RTX 2060 6GB

Weights0.2 GB
KV Cache0.4 GB
Runtime1.2 GB
Headroom0.6 GB

Häufig gestellte Fragen

FAQ — Antares 350M

Siehe auch