Foundation AI
Antares 350M
現行
1.2Kダウンロード50いいねJul 2026公開日33K トークンコンテキストApache 2.0ライセンス31 基本品質
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.
はじめに
— コピー&ペーストでローカル実行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 99Quick 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
- •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.
関連モデル
おすすめ
最適なハードウェア
Antares 350M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 | 0.1 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 | — |
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
Weights0.2 GB
KV Cache0.4 GB
Runtime1.2 GB
Headroom0.6 GB
よくある質問
FAQ — Antares 350M
関連項目