FitMyLLM
Meta/Dense

MetaLLaMA 1 7B

Meta's original LLaMA. Started the open-source LLM revolution in 2023.

chat
6.74B
Parameters
2K
Context length
8
Benchmarks
6
Quantizations
300K
HF downloads
Architecture
Dense
Released
2023-02-24
Layers
32
KV Heads
32
Head Dim
128
Family
llama

Quantization Options

QuantBitsVRAM @ 2KQuality
Q4_K_M4.89
4.6 GB
good
Q5_K_S5.57
5.2 GB
good
Q5_K_M5.7
5.3 GB
good
Q6_K6.56
6.0 GB
excellent
Q8_08.5
7.6 GB
lossless
FP1616
14.0 GB
lossless

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

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Benchmarks (8)

IFEval81.3
MBPP46.8
MMLU-PRO33.0
BBH32.0
MATH22.0
MUSR12.5
HumanEval10.5
GPQA8.1

Run this model

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

Tag may need adjustment — check ollama.com/library/llama 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 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 LLaMA 1 7B

Build Hardware for LLaMA 1 7B

Meta's original LLaMA. Started the open-source LLM revolution in 2023.

▸ SPEC SHEET

LLaMA 1 7B6.74B Dense.

▸ SPECIFICATIONS
PARAMETERS
6.74B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
2K tokens
CAPABILITIES
chat
RELEASE DATE
2023-02-24
PROVIDER
Meta
FAMILY
llama
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.894.6 GB94%
Q5_K_S5.575.2 GB96%
Q5_K_M5.75.3 GB96%
Q6_K6.566.0 GB97%
Q8_08.57.6 GB100%
FP161614.0 GB100%
§ 01BENCHMARK SCORES
HumanEval10.5
MMLU-PRO33.0
MATH22.0
IFEval81.3
BBH32.0
GPQA8.1
MUSR12.5
MBPP46.8
§ 03COMPATIBLE GPUs
30 @ Q4_K_M