Stanford/Dense

SAlpaca 7B

Stanford Alpaca — one of the first instruction-tuned open models. Mostly historical.

chat
7B
Parameters
2K
Context length
7
Benchmarks
6
Quantizations
50K
HF downloads
Architecture
Dense
Released
2023-03-13
Layers
32
KV Heads
32
Head Dim
128
Family
alpaca

Quantization Options

QuantBitsVRAMQuality
Q4_K_M4.894.8 GBgood
Q5_K_S5.575.4 GBgood
Q5_K_M5.75.5 GBgood
Q6_K6.566.2 GBexcellent
Q8_08.57.9 GBlossless
FP161614.5 GBlossless

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

READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN ALPACA 7B NOW

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Community Ratings

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Benchmarks (7)

IFEval72.7
HumanEval42.1
MMLU-PRO28.3
BBH26.9
MATH15.3
MUSR4.3
GPQA4.0

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run alpaca:7b-q4_K_M

Tag may need adjustment — check ollama.com/library/alpaca for available tags.

▸ 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 K20c
5 GB VRAM • 208 GB/s
NVIDIA
NVIDIA Tesla K20m
5 GB VRAM • 208 GB/s
NVIDIA
NVIDIA Tesla K20s
5 GB VRAM • 208 GB/s
NVIDIA
NVIDIA RTX 3050 6GB
6 GB VRAM • 168 GB/s
NVIDIA
$169
Intel Arc A380
6 GB VRAM • 186 GB/s
INTEL
$129
NVIDIA RTX 2060 6GB
6 GB VRAM • 336 GB/s
NVIDIA
$150
NVIDIA GTX 1660 Ti
6 GB VRAM • 288 GB/s
NVIDIA
$140
NVIDIA Tesla C2070
6 GB VRAM • 143 GB/s
NVIDIA
NVIDIA Tesla C2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla C2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla M2070
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2070-Q
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2070
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla K20X
6 GB VRAM • 250 GB/s
NVIDIA
NVIDIA Tesla K20Xm
6 GB VRAM • 250 GB/s
NVIDIA

Find the best GPU for Alpaca 7B

Build Hardware for Alpaca 7B

Stanford Alpaca — one of the first instruction-tuned open models. Mostly historical.

▸ SPEC SHEET

Alpaca 7B7B Dense.

▸ SPECIFICATIONS
PARAMETERS
7B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
2K tokens
CAPABILITIES
chat
RELEASE DATE
2023-03-13
PROVIDER
Stanford
FAMILY
alpaca
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.894.8 GB94%
Q5_K_S5.575.4 GB96%
Q5_K_M5.75.5 GB96%
Q6_K6.566.2 GB97%
Q8_08.57.9 GB100%
FP161614.5 GB100%
§ 01BENCHMARK SCORES
HumanEval42.1
MMLU-PRO28.3
MATH15.3
IFEval72.7
BBH26.9
GPQA4.0
MUSR4.3