FitMyLLM
HuggingFace/Dense

HuggingFaceIdefics3 8B Llama3

Idefics3 is an open multimodal model that accepts arbitrary sequences of image and text inputs and produces text outputs.

chatvision
8.46B
Parameters
128K
Context length
7
Benchmarks
6
Quantizations
0
Architecture
Dense
Released
2024-08-12
Layers
32
KV Heads
8
Head Dim
128
Family
other

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
7.2 GB
5.7 + 1.5 KV
good
Q5_K_S5.57
7.9 GB
6.4 + 1.5 KV
good
Q5_K_M5.7
8.0 GB
6.5 + 1.5 KV
good
Q6_K6.56
8.9 GB
7.4 + 1.5 KV
excellent
Q8_08.5
11.0 GB
9.5 + 1.5 KV
lossless
FP1616
18.9 GB
17.4 + 1.5 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 (7)

IFEval68.6
MMMU46.6
BBH31.9
MMLU-PRO28.8
MATH15.2
MUSR6.6
GPQA5.3

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run other:8b-q4_K_M

Tag may need adjustment — check ollama.com/library/other 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 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 Idefics3 8B Llama3

Build Hardware for Idefics3 8B Llama3
▸ SPEC SHEET

Idefics3 8B Llama38.46B Dense.

▸ SPECIFICATIONS
PARAMETERS
8.46B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
128K tokens
CAPABILITIES
chat, vision
RELEASE DATE
2024-08-12
PROVIDER
HuggingFace
FAMILY
other
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.895.7 GB94%
Q5_K_S5.576.4 GB96%
Q5_K_M5.76.5 GB96%
Q6_K6.567.4 GB97%
Q8_08.59.5 GB100%
FP161617.4 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO28.8
MATH15.2
IFEval68.6
BBH31.9
MMMU46.6
GPQA5.3
MUSR6.6
§ 03COMPATIBLE GPUs
30 @ Q4_K_M