Stability AI/Dense

Stability AIstablelm-2-1_6b

chat
1.6B
Parameters
4K
Context length
6
Benchmarks
6
Quantizations
2K
HF downloads
Architecture
Dense
Released
2024-04-08
Layers
24
KV Heads
32
Head Dim
64
Family
stablelm

Quantization Options

QuantBitsVRAMQuality
Q4_K_M4.891.5 GBgood
Q5_K_S5.571.6 GBgood
Q5_K_M5.71.6 GBgood
Q6_K6.561.8 GBexcellent
Q8_08.52.2 GBlossless
FP16163.7 GBlossless

Select your GPU above to see speed estimates and compatibility for each quantization.

READY TO RUN THIS?RENT BY THE HOUR

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Benchmarks (6)

IFEval32.8
MMLU-PRO7.9
BBH6.7
MUSR6.0
MATH3.3
GPQA0.0

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run stablelm:1b-q4_K_M

Downloads and runs automatically. Add --verbose for speed stats.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA Tesla C870
2 GB VRAM • 76.8 GB/s
NVIDIA
NVIDIA Tesla D870
2 GB VRAM • 76.8 GB/s
NVIDIA
NVIDIA Tesla S870
2 GB VRAM • 76.8 GB/s
NVIDIA

Find the best GPU for stablelm-2-1_6b

Build Hardware for stablelm-2-1_6b

Read the full model card for detailed information about this model.

▸ SPEC SHEET

stablelm-2-1_6b1.6B Dense.

▸ SPECIFICATIONS
PARAMETERS
1.6B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
4K tokens
CAPABILITIES
chat
RELEASE DATE
2024-04-08
PROVIDER
Stability AI
FAMILY
stablelm
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.891.5 GB94%
Q5_K_S5.571.6 GB96%
Q5_K_M5.71.6 GB96%
Q6_K6.561.8 GB97%
Q8_08.52.2 GB100%
FP16163.7 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO7.9
MATH3.3
IFEval32.8
BBH6.7
GPQA0.0
MUSR6.0
§ 02RUN COMMAND

Run stablelm-2-1_6b locally with Ollama — needs 1.5 GB VRAM at Q4_K_M:

$ollama run stablelm:1b