Stability AI
StableLM 2 12B
Legacy
263Descargas89Me gustaApr 2024Publicado4K tokensContextoStability AI CommunityLicencia4 EntradaCalidad
StableLM 2 12B (12B parameters) requires approximately 22.3 GB of VRAM with Q5_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 26 GB of VRAM.
Comenzar
— copia y pega para ejecutar en localCopy-paste commands to run StableLM 2 12B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "stabilityai/stablelm-2-12b-chat" \
--hf-file "stablelm-2-12b-chat-Q5_K_M.gguf" \
-c 4096 -ngl 99Quick specs
Parameters12B
Architecturedense
Context4K tokens
Modalitytext
Min RAM4.7 GB
Rec. RAM8.6 GB (Q5_K_M)
LicenseStability AI Community
FamilyStableLM
✓ Chat
About this model
- •Developed by: Stability AI
- •Model type: StableLM 2 12B Chat model is an auto-regressive language model based on the transformer decoder architecture
- •Language(s): English
- •Paper: Stable LM 2 Chat Technical Report
- •Library: Alignment Handbook
Selecciones rápidas
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Opciones de cuantización
Estimaciones de VRAM por nivel de cuantización
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.7 GB | Low | — |
Q3_K_S | 3 | 5.9 GB | Low | — |
NVFP4 | 4 | 6.7 GB | Medium | — |
Q4_K_M | 4 | 7.3 GB | Medium | — |
Q5_K_M | 5 | 8.6 GB | High | — |
Q6_K | 6 | 9.8 GB | High | — |
Q8_0 | 8 | 12.8 GB | Very High | — |
F16 | 16 | 24.6 GB | Maximum | — |
Quality benchmarks
StableLM 2 12B benchmark scores
Reasoning
MMLU-Pro19.3%
GPQA Diamond2.2%
MATH-5005.4%
ARC Challenge65.0%
General
Chatbot Arena—
IFEval40.8%
Source: official · 2024-02-01
Compatibilidad de hardware
Estimaciones de encaje en todo el hardware
Computing compatibility...
Desglose de memoria
Reference: RTX 2060 6GB
Weights8.6 GB
KV Cache12.2 GB
Runtime0.9 GB
Headroom0.6 GB
Preguntas frecuentes
FAQ — StableLM 2 12B
Ver también