TII
Falcon 7B Instruct
Legacy
124.0KDownloads1.0KLikesApr 2023Veröffentlicht8K TokenKontextApache 2.0Lizenz40 BasisQualität
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.
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— kopieren & einfügen, um lokal auszuführenCopy-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)
Verwandte Modelle
Schnellauswahl
Beste Hardware
Top-Empfehlungen für Falcon 7B Instruct
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Quantisierungsoptionen
VRAM-Schätzungen nach Quantisierungsstufe
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
Hardware-Kompatibilität
Eignungsschätzungen für alle Hardware
Computing compatibility...
Speicheraufschlüsselung
Reference: RTX 2060 6GB
Weights4.3 GB
KV Cache0.1 GB
Runtime0.9 GB
Headroom0.6 GB
Häufig gestellte Fragen
FAQ — Falcon 7B Instruct
Siehe auch