Shanghai AI Lab/Dense

Shanghai AI LabInternLM3 8B Instruct

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chatcodingreasoningmultilingualmath
8B
Parameters
32K
Context length
12
Benchmarks
6
Quantizations
0
Architecture
Dense
Released
2026-01-15
Layers
48
KV Heads
2
Head Dim
128
Family
internlm

Quantization Options

QuantBitsVRAMQuality
Q4_K_M4.895.4 GBgood
Q5_K_S5.576.1 GBgood
Q5_K_M5.76.2 GBgood
Q6_K6.567.0 GBexcellent
Q8_08.59.0 GBlossless
FP161616.5 GBlossless

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

READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN INTERNLM3 8B INSTRUCT NOW

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

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Benchmarks (12)

MATH-50083.0
HumanEval82.3
BBH57.0
IFEval55.4
GPQA Diamond37.4
MMLU-PRO30.9
BigCodeBench25.8
MATH25.3
AIME20.0
LiveCodeBench17.8
MUSR16.3
GPQA13.0

Run this model

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

Tag may need adjustment — check ollama.com/library/internlm 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 RTX 3050 6GB
6 GB VRAM • 168 GB/s
NVIDIA
$169
Intel Arc A380
6 GB VRAM • 186 GB/s
INTEL
$129
NVIDIA RTX 2060 6GB
6 GB VRAM • 336 GB/s
NVIDIA
$150
NVIDIA GTX 1660 Ti
6 GB VRAM • 288 GB/s
NVIDIA
$140
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 InternLM3 8B Instruct

Build Hardware for InternLM3 8B Instruct
▸ SPEC SHEET

InternLM3 8B Instruct8B Dense.

▸ SPECIFICATIONS
PARAMETERS
8B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
32K tokens
CAPABILITIES
chat, coding, reasoning, multilingual, math
RELEASE DATE
2026-01-15
PROVIDER
Shanghai AI Lab
FAMILY
internlm
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.895.4 GB94%
Q5_K_S5.576.1 GB96%
Q5_K_M5.76.2 GB96%
Q6_K6.567.0 GB97%
Q8_08.59.0 GB100%
FP161616.5 GB100%
§ 01BENCHMARK SCORES
HumanEval82.3
MMLU-PRO30.9
MATH25.3
IFEval55.4
BBH57.0
GPQA13.0
MUSR16.3
BigCodeBench25.8
GPQA Diamond37.4
LiveCodeBench17.8
AIME20.0
MATH-50083.0