FitMyLLM
Google/Dense

GoogleGemma 1 7B

Gemma 1 7B — Google's original open model. Clean, well-trained.

chat
8.54B
Parameters
8K
Context length
8
Benchmarks
6
Quantizations
0
Architecture
Dense
Released
2024-02-21
Layers
28
KV Heads
16
Head Dim
256
Family
gemma

Quantization Options

Context length:
QuantBitsVRAM @ 8KQuality
Q4_K_M4.89
7.5 GB
5.7 + 1.8 KV
good
Q5_K_S5.57
8.2 GB
6.4 + 1.8 KV
good
Q5_K_M5.7
8.3 GB
6.6 + 1.8 KV
good
Q6_K6.56
9.2 GB
7.5 + 1.8 KV
excellent
Q8_08.5
11.3 GB
9.6 + 1.8 KV
lossless
FP1616
19.3 GB
17.6 + 1.8 KV
lossless

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

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Community Ratings

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Benchmarks (8)

MBPP52.4
HumanEval41.5
IFEval40.3
BBH20.9
MMLU-PRO17.6
MUSR14.9
MATH6.2
GPQA4.0

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run gemma:7b-text-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 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 Gemma 1 7B

Build Hardware for Gemma 1 7B

Gemma 1 7B — Google's original open model. Clean, well-trained.

▸ SPEC SHEET

Gemma 1 7B8.54B Dense.

▸ SPECIFICATIONS
PARAMETERS
8.54B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
8K tokens
CAPABILITIES
chat
RELEASE DATE
2024-02-21
PROVIDER
Google
FAMILY
gemma
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.895.7 GB94%
Q5_K_S5.576.4 GB96%
Q5_K_M5.76.6 GB96%
Q6_K6.567.5 GB97%
Q8_08.59.6 GB100%
FP161617.6 GB100%
§ 01BENCHMARK SCORES
HumanEval41.5
MMLU-PRO17.6
MATH6.2
IFEval40.3
BBH20.9
GPQA4.0
MUSR14.9
MBPP52.4
§ 02RUN COMMAND

Run Gemma 1 7B locally with Ollama — needs 5.7 GB VRAM at Q4_K_M:

$ollama run gemma:7b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M