👁 Cerebras
Cerebras
Cerebras-GPT 13B
Legacy
1.4KDownloads652LikesMar 2023Released131K tokensContextApache 2.0License40 BasicQuality
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.
Get started
— copy & paste to run locallyCopy-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
Your hardware
Detecting...
Quick picks
Best hardware
Top picks for Cerebras-GPT 13B
Run this model
Quantization options
VRAM estimates by quant level
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 compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights9.4 GB
KV Cache9.8 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Cerebras-GPT 13B
See also