TII
Falcon 7B Instruct
レガシー
124.0Kダウンロード1.0KいいねApr 2023公開日8K トークンコンテキストApache 2.0ライセンス40 基本品質
Falcon 7B Instruct (7B parameters) requires approximately 5.9 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 7 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 Falcon 7B Instruct on your machine.
Run
lms load falcon-7b-instruct && lms server startQuick specs
Parameters7B
Architecturedense
Context8K tokens
Modalitytext
Min RAM2.7 GB
Rec. RAM4.3 GB (Q4_K_M)
LicenseApache 2.0
FamilyFalcon
✓ Chat✓ Reasoning
About this model
- •You are looking for a ready-to-use chat/instruct model based on Falcon-7B
- •Falcon-7B is a strong base model, outperforming comparable open-source models: (e.g., MPT-7B, StableLM, RedPajama etc.), thanks to being trained...
- •It features an architecture optimized for inference: , with FlashAttention (Dao et al., 2022) and multiquery (Shazeer et al., 2019)
関連モデル
おすすめ
最適なハードウェア
Falcon 7B Instruct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 |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | — |
Q3_K_S | 3 | 3.4 GB | Low | — |
NVFP4 | 4 | 3.9 GB | Medium | — |
Q4_K_M | 4 | 4.3 GB | Medium | — |
Q5_K_M | 5 | 5.0 GB | High | — |
Q6_K | 6 | 5.7 GB | High | — |
Q8_0 | 8 | 7.5 GB | Very High | — |
F16 | 16 | 14.3 GB | Maximum | — |
Quality benchmarks
Falcon 7B Instruct benchmark scores
Reasoning
MMLU-Pro1.7%
GPQA Diamond—
MATH-5001.2%
ARC Challenge45.8%
General
Chatbot Arena—
IFEval19.7%
Source: community · 2023-05-25
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
Weights4.3 GB
KV Cache0.1 GB
Runtime0.9 GB
Headroom0.6 GB
よくある質問
FAQ — Falcon 7B Instruct
関連項目