Cerebras
Cerebras-GPT 13B
Legacy
1.4KDownloads649LikesMar 2023Veröffentlicht131K TokenKontextApache 2.0Lizenz40 BasisQualität
Cerebras-GPT 13B (13B parameters) requires approximately 20.9 GB of VRAM with Q5_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 25 GB of VRAM.
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— kopieren & einfügen, um lokal auszuführenCopy-paste commands to run Cerebras-GPT 13B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "cerebras/Cerebras-GPT-13B" \
--hf-file "Cerebras-GPT-13B-Q5_K_M.gguf" \
-c 4096 -ngl 99Quick specs
Parameters13B
Architecturedense
Context131K tokens
Modalitytext
Min RAM5.1 GB
Rec. RAM9.4 GB (Q5_K_M)
LicenseApache 2.0
FamilyCerebras-GPT
✓ Chat✓ Reasoning
About this model
- •Developed by: Cerebras Systems
- •License: Apache 2.0
- •Model type: Transformer-based Language Model
- •Architecture: GPT-3 style architecture
- •Data set: The Pile
Schnellauswahl
Beste Hardware
Top-Empfehlungen für Cerebras-GPT 13B
Dieses Modell ausführen
Quantisierungsoptionen
VRAM-Schätzungen nach Quantisierungsstufe
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.1 GB | Low | — |
Q3_K_S | 3 | 6.4 GB | Low | — |
NVFP4 | 4 | 7.3 GB | Medium | — |
Q4_K_M | 4 | 7.9 GB | Medium | — |
Q5_K_M | 5 | 9.4 GB | High | — |
Q6_K | 6 | 10.7 GB | High | — |
Q8_0 | 8 | 13.9 GB | Very High | — |
F16 | 16 | 26.7 GB | Maximum | — |
Hardware-Kompatibilität
Eignungsschätzungen für alle Hardware
Computing compatibility...
Speicheraufschlüsselung
Reference: RTX 2060 6GB
Weights9.4 GB
KV Cache9.8 GB
Runtime1.2 GB
Headroom0.6 GB
Häufig gestellte Fragen
FAQ — Cerebras-GPT 13B
Siehe auch