What are the hardware requirements for Internlm2 Base 20B?

Internlm2 Base 20B requires approximately 39.7 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Internlm2 Base 20B and how large is it?

Internlm2 Base 20B is developed by internlm, a model with 20b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Internlm2 Base 20B?

Internlm2 Base 20B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Internlm2 Base 20B by internlm — VRAM 39.7GB, 32K context

Name: Internlm2 Base 20B
Author: internlm

Internlm2 Base 20B is an open-source language model by internlm. Features: 20b LLM, VRAM: 39.7GB, Context: 32K, License: other, LLM Explorer Score: 0.14.

Arxiv:2403.17297 Custom code Internlm2 Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/internlm/internlm2-base-20b

Internlm2 Base 20B Parameters and Internals

Model Type

text generation

Use Cases

Areas:

research, commercial applications

Limitations:

Model may produce unexpected outputs including biases, discrimination, or other harmful content.

Training Details

Context Length:

200000

Input Output

Input Format:

Text input

Accepted Modalities:

text

Output Format:

Text output

Performance Tips:

Use float16 precision when loading model to reduce memory usage.

LLM Name	Internlm2 Base 20B
Repository 🤗	https://huggingface.co/internlm/internlm2-base-20b
Model Size	20b
Required VRAM	39.7 GB
Updated	2026-08-07
Maintainer	internlm
Model Type	internlm2
Model Files	9.9 GB: 1-of-4 10.0 GB: 2-of-4 9.9 GB: 3-of-4 9.9 GB: 4-of-4
Model Architecture	InternLM2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.41.0
Is Biased	0
Tokenizer Class	InternLM2Tokenizer
Padding Token	</s>
Vocabulary Size	92544
Torch Data Type	bfloat16

Rank the Internlm2 Base 20B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Internlm2 Base 20B

Best Alternatives	Context / RAM	Downloads	Likes
Internlm2 5 20B	256K / 39.7 GB	158	17
Internlm2 5 20B Chat	32K / 39.7 GB	7642	96
Internlm2 Chat 20B ExPO	32K / 39.8 GB	15821	1
Internlm2 20B	32K / 39.7 GB	20503	59
Internlm2 Chat 20B	32K / 39.7 GB	20635	88
...ternlm2 5 20B Chat Abliterated	32K / 39.7 GB	16	4
ChemLLM 20B Chat DPO	32K / 40.6 GB	33	10
ChemLLM 20B Chat SFT	32K / 40.6 GB	44	5
Internlm Chatbode 20B	32K / 39.8 GB	4	1
MathGenie InterLM 20B	32K / 39.8 GB	12	10

Note: green Score (e.g. "73.2") means that the model is better than internlm/internlm2-base-20b.