FitMyLLM
Shanghai AI Lab/Dense

Shanghai AI LabInternLM2 1B

Shanghai AI Lab's tiny model. Good for experimentation.

chatTool Use
1.89B
Parameters
32K
Context length
0
Benchmarks
6
Quantizations
50K
HF downloads
Architecture
Dense
Released
2024-01-17
Layers
24
KV Heads
8
Head Dim
128
Family
internlm

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
2.8 GB
1.6 + 1.1 KV
good
Q5_K_S5.57
2.9 GB
1.8 + 1.1 KV
good
Q5_K_M5.7
3.0 GB
1.8 + 1.1 KV
good
Q6_K6.56
3.2 GB
2.0 + 1.1 KV
excellent
Q8_08.5
3.6 GB
2.5 + 1.1 KV
lossless
FP1616
5.4 GB
4.3 + 1.1 KV
lossless

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

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Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run internlm:2b-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.

Find the best GPU for InternLM2 1B

Build Hardware for InternLM2 1B

Shanghai AI Lab's tiny model. Good for experimentation.

▸ SPEC SHEET

InternLM2 1B1.89B Dense.

▸ SPECIFICATIONS
PARAMETERS
1.89B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
32K tokens
CAPABILITIES
chat
RELEASE DATE
2024-01-17
PROVIDER
Shanghai AI Lab
FAMILY
internlm
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.891.6 GB94%
Q5_K_S5.571.8 GB96%
Q5_K_M5.71.8 GB96%
Q6_K6.562.0 GB97%
Q8_08.52.5 GB100%
FP16164.3 GB100%
§ 03COMPATIBLE GPUs
30 @ Q4_K_M