Foundation AI
Antares 1B
現行
5.7Kダウンロード151いいねJul 2026公開日131K トークンコンテキストApache 2.0ライセンス42 基本品質
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.
はじめに
— コピー&ペーストでローカル実行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 99Quick 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
- •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.
関連モデル
おすすめ
最適なハードウェア
Antares 1Bのおすすめ
このモデルを実行
量子化オプション
量子化レベル別VRAM推定値
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
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 | — |
ハードウェア互換性
全ハードウェアの適合度推定
Computing compatibility...
メモリ内訳
Reference: RTX 2060 6GB
Weights1.1 GB
KV Cache1.2 GB
Runtime1.2 GB
Headroom0.6 GB
よくある質問
FAQ — Antares 1B
関連項目