FitMyLLM
Shanghai AI Lab/Dense

Shanghai AI LabInternLM3 8B Instruct

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chatcodingreasoningmultilingualmath
8.8B
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

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
6.4 GB
5.9 + 0.6 KV
good
Q5_K_S5.57
7.2 GB
6.6 + 0.6 KV
good
Q5_K_M5.7
7.3 GB
6.8 + 0.6 KV
good
Q6_K6.56
8.3 GB
7.7 + 0.6 KV
excellent
Q8_08.5
10.4 GB
9.8 + 0.6 KV
lossless
FP1616
18.7 GB
18.1 + 0.6 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 (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:9b-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
HuggingFaceGGUF DownloadsBuild Hardware

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
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
Intel Arc A380
6 GB VRAM • 186 GB/s
INTEL
$129
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 2060 6GB
6 GB VRAM • 336 GB/s
NVIDIA
$150
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GTX 1660 SUPER
6 GB VRAM • 336 GB/s
NVIDIA
$150
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GTX 1660 Ti
6 GB VRAM • 288 GB/s
NVIDIA
$140
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GTX 1060 6GB
6 GB VRAM • 192 GB/s
NVIDIA
$80
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
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
NVIDIA GeForce GTX 1060 6 GB
6 GB VRAM • 192 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce GTX 1660
6 GB VRAM • 192 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce GTX 1660 SUPER
6 GB VRAM • 336 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce GTX 1660 Ti
6 GB VRAM • 288 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce RTX 2060
6 GB VRAM • 336 GB/s
NVIDIA
$140
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce RTX 2060 TU104
6 GB VRAM • 336 GB/s
NVIDIA
$140
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
AMD Radeon RX 5600 OEM
6 GB VRAM • 288 GB/s
AMD
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
AMD Radeon RX 5600 XT
6 GB VRAM • 288 GB/s
AMD
$90
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
AMD Radeon RX 5600M
6 GB VRAM • 288 GB/s
AMD
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai

Find the best GPU for InternLM3 8B Instruct

Build Hardware for InternLM3 8B Instruct
▸ SPEC SHEET

InternLM3 8B Instruct — 8.8B Dense.

▸ SPECIFICATIONS
PARAMETERS
8.8B
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_M4.895.9 GB94%
Q5_K_S5.576.6 GB96%
Q5_K_M5.76.8 GB96%
Q6_K6.567.7 GB97%
Q8_08.59.8 GB100%
FP161618.1 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
§ 03COMPATIBLE GPUs
30 @ Q4_K_M
NVIDIA RTX 3050 6GB
6 GB · 168 GB/s
Intel Arc A380
6 GB · 186 GB/s
NVIDIA RTX 2060 6GB
6 GB · 336 GB/s
NVIDIA GTX 1660 SUPER
6 GB · 336 GB/s
NVIDIA GTX 1660 Ti
6 GB · 288 GB/s
NVIDIA GTX 1060 6GB
6 GB · 192 GB/s
NVIDIA Tesla C2070
6 GB · 143 GB/s
NVIDIA Tesla C2075
6 GB · 150 GB/s
NVIDIA Tesla C2090
6 GB · 177 GB/s
NVIDIA Tesla M2070
6 GB · 150 GB/s
NVIDIA Tesla M2070-Q
6 GB · 150 GB/s
NVIDIA Tesla M2075
6 GB · 150 GB/s
NVIDIA Tesla M2090
6 GB · 177 GB/s
NVIDIA Tesla X2070
6 GB · 177 GB/s
NVIDIA Tesla X2090
6 GB · 177 GB/s