FitMyLLM
openthinker/Dense

OOpenThinker 7B

> We have released a paper for OpenThoughts! See our paper here.

reasoningmath
7.62B
Parameters
31K
Context length
6
Benchmarks
6
Quantizations
Architecture
Dense
Released
2025-02-01
Layers
28
KV Heads
4
Head Dim
128
Family
openthinker

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
5.8 GB
5.1 + 0.7 KV
good
Q5_K_S5.57
6.5 GB
5.8 + 0.7 KV
good
Q5_K_M5.7
6.6 GB
5.9 + 0.7 KV
good
Q6_K6.56
7.4 GB
6.7 + 0.7 KV
excellent
Q8_08.5
9.2 GB
8.6 + 0.7 KV
lossless
FP1616
16.4 GB
15.7 + 0.7 KV
lossless

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

Deploying for a team or in production? Size GPUs, cost & scaling in Enterprise →
READY TO RUN THIS?RENT BY THE HOUR

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Community Ratings

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Benchmarks (6)

MATH42.6
IFEval40.9
MMLU-PRO35.2
BBH34.5
MUSR5.4
GPQA0.9

Run this model

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

Build Hardware for OpenThinker 7B
▸ SPEC SHEET

OpenThinker 7B7.62B Dense.

▸ SPECIFICATIONS
PARAMETERS
7.62B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
31K tokens
CAPABILITIES
reasoning, math
RELEASE DATE
2025-02-01
FAMILY
openthinker
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.895.1 GB94%
Q5_K_S5.575.8 GB96%
Q5_K_M5.75.9 GB96%
Q6_K6.566.7 GB97%
Q8_08.58.6 GB100%
FP161615.7 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO35.2
MATH42.6
IFEval40.9
BBH34.5
GPQA0.9
MUSR5.4
§ 02RUN COMMAND

Run OpenThinker 7B locally with Ollama — needs 5.1 GB VRAM at Q4_K_M:

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