willitrun·ai

Foundation AI

Antares 1B

Actual
5.7KDescargas151Me gustaJul 2026Publicado131K tokensContextoApache 2.0Licencia42 BásicoCalidad

Antares 1B (1.840000033378601B parameters) requires approximately 4.1 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 5 GB of VRAM.

Comenzar

— copia y pega para ejecutar en local

Copy-paste commands to run Antares 1B on your machine.

Run

docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \ --hf-repo "fdtn-ai/antares-1b" \ --hf-file "antares-1b-Q4_K_M.gguf" \ -c 4096 -ngl 99

Quick specs

Parameters1.8B
Architecturedense
Context131K tokens
Modalitytext
Min RAM0.7 GB
Rec. RAM1.1 GB (Q4_K_M)
LicenseApache 2.0
FamilyAntares
Code

About this model

Antares 1B is Foundation AI's compact security-focused agentic model, reinforcement-learning post-trained on top of IBM's Granite 4.0 1B. It targets terminal-agent workflows and vulnerability detection at a size small enough for local and edge deployment, with a 131K context.

  • 1.84B parameters — runs locally on CPU or a small GPU.
  • Specialised for security work: vulnerability detection and terminal-agent tasks.
  • Reinforcement-learning post-trained on IBM Granite 4.0 1B.
  • 131,072-token context.
  • Apache 2.0 licensed.

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Opciones de cuantización

Estimaciones de VRAM por nivel de cuantización

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q1_0_G128
1.125
0.3 GB
Very Low
Q2_0_G128
1.71
0.5 GB
Low
Q2_K
2
0.7 GB
Low
Q3_K_S
3
0.9 GB
Low
NVFP4
4
1.0 GB
Medium
Q4_K_M
4
1.1 GB
Medium
Q5_K_M
5
1.3 GB
High
Q6_K
6
1.5 GB
High
Q8_0
8
2.0 GB
Very High
F16
16
3.8 GB
Maximum

Compatibilidad de hardware

Estimaciones de encaje en todo el hardware

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Computing compatibility...

Desglose de memoria

Reference: RTX 2060 6GB

Weights1.1 GB
KV Cache1.2 GB
Runtime1.2 GB
Headroom0.6 GB

Preguntas frecuentes

FAQ — Antares 1B

Ver también