FitMyLLM
Xiaomi/Dense

XMiMo-7B-RL

Unlocking the Reasoning Potential of Language ModelFrom Pretraining to Posttraining

reasoningchat
7.83B
Parameters
32K
Context length
4
Benchmarks
6
Quantizations
0
Architecture
Dense
Released
2025-05-12
Layers
36
KV Heads
8
Head Dim
128
Family
mimo

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
7.0 GB
5.3 + 1.7 KV
good
Q5_K_S5.57
7.6 GB
5.9 + 1.7 KV
good
Q5_K_M5.7
7.8 GB
6.1 + 1.7 KV
good
Q6_K6.56
8.6 GB
6.9 + 1.7 KV
excellent
Q8_08.5
10.5 GB
8.8 + 1.7 KV
lossless
FP1616
17.8 GB
16.1 + 1.7 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 →
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Community Ratings

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Benchmarks (4)

MATH95.8
IFEval61.0
MMLU-PRO58.6
GPQA54.4

Run this model

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

Tag may need adjustment — check ollama.com/library/mimo 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 MiMo-7B-RL

Build Hardware for MiMo-7B-RL

Unlocking the Reasoning Potential of Language ModelFrom Pretraining to Posttraining

▸ SPEC SHEET

MiMo-7B-RL7.83B Dense.

▸ SPECIFICATIONS
PARAMETERS
7.83B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
32K tokens
CAPABILITIES
reasoning, chat
RELEASE DATE
2025-05-12
PROVIDER
Xiaomi
FAMILY
mimo
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.895.3 GB94%
Q5_K_S5.575.9 GB96%
Q5_K_M5.76.1 GB96%
Q6_K6.566.9 GB97%
Q8_08.58.8 GB100%
FP161616.1 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO58.6
MATH95.8
IFEval61.0
GPQA54.4
§ 02RUN COMMAND

Run MiMo-7B-RL locally with Ollama — needs 5.3 GB VRAM at Q4_K_M:

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