FitMyLLM
Allen AI/Dense

Allen AIMolmo 7B-D

Molmo is a family of open vision-language models developed by the Allen Institute for AI. Molmo models are trained on PixMo, a dataset of 1 million, highly-curated image-text pairs.

chatvision
8.02B
Parameters
4K
Context length
15
Benchmarks
6
Quantizations
0
Architecture
Dense
Released
2024-09-24
Layers
28
KV Heads
4
Head Dim
128
Family
other

Quantization Options

QuantBitsVRAM @ 4KQuality
Q4_K_M4.89
5.4 GB
good
Q5_K_S5.57
6.1 GB
good
Q5_K_M5.7
6.2 GB
good
Q6_K6.56
7.1 GB
excellent
Q8_08.5
9.0 GB
lossless
FP1616
16.5 GB
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 (15)

IFEval68.6
MMMU45.3
BBH31.9
MMLU-PRO28.8
GPQA Diamond24.0
IFBench19.7
MATH15.2
AA Intelligence9.2
MUSR6.6
GPQA5.3
HLE5.1
LiveCodeBench3.9
SciCode3.6
AA Coding1.2
AA Math0.0

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 Molmo 7B-D

Build Hardware for Molmo 7B-D
▸ SPEC SHEET

Molmo 7B-D8.02B Dense.

▸ SPECIFICATIONS
PARAMETERS
8.02B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
4K tokens
CAPABILITIES
chat, vision
RELEASE DATE
2024-09-24
PROVIDER
Allen AI
FAMILY
other
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.895.4 GB94%
Q5_K_S5.576.1 GB96%
Q5_K_M5.76.2 GB96%
Q6_K6.567.1 GB97%
Q8_08.59.0 GB100%
FP161616.5 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO28.8
MATH15.2
IFEval68.6
BBH31.9
MMMU45.3
GPQA5.3
MUSR6.6
GPQA Diamond24.0
LiveCodeBench3.9
HLE5.1
AA Intelligence9.2
AA Coding1.2
AA Math0.0
aa_ifbench19.7
aa_scicode3.6
§ 03COMPATIBLE GPUs
30 @ Q4_K_M