What are the hardware requirements for Internlm2 7B?

Internlm2 7B requires approximately 15.5 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 7B and how large is it?

Internlm2 7B is developed by internlm, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Internlm2 7B perform on standard benchmarks?

Internlm2 7B has the following published scores: MMLU 65.24. Compare against reference models on this page or on the LLM Explorer leaderboards.

Internlm2 7B by internlm — VRAM 15.5GB, 32K context

Name: Internlm2 7B
Author: internlm

Internlm2 7B is an open-source language model by internlm. Features: 7b LLM, VRAM: 15.5GB, Context: 32K, License: other, LLM Explorer Score: 0.21, Arc: 58, HellaSwag: 81.2, MMLU: 65.2, GSM8K: 63.

Arxiv:2403.17297 Custom code Internlm2 Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/internlm/internlm2-7b

Internlm2 7B Parameters and Internals

Model Type

text-generation

Use Cases

Areas:

academic research, commercial applications

Limitations:

Bias, discrimination, harmful content

Additional Notes

InternLM2 is designed for ultra-large context handling and is aligned with conversational use cases via RLHF optimizations.

Input Output

Input Format:

Text

Accepted Modalities:

text

Output Format:

Text

Performance Tips:

Using a GPU and loading the model in float16 is recommended for better performance and to prevent OOM errors.

Release Notes

Version:

InternLM2-7B

Date:

2024

Notes:

Release of InternLM2 models with improved capabilities over the previous generation.

Version:

InternLM2-20B

Date:

2024

Notes:

Enhanced version with advanced reasoning and domain-specific corpus pretraining.

LLM Name	Internlm2 7B
Repository 🤗	https://huggingface.co/internlm/internlm2-7b
Model Size	7b
Required VRAM	15.5 GB
Updated	2026-07-26
Maintainer	internlm
Model Type	internlm2
Model Files	10.0 GB: 1-of-2 5.5 GB: 2-of-2
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 7B 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

Quantized Models of the Internlm2 7B

Model	Likes	Downloads	VRAM
...rnlm2 20B Llama 4.0bpw H6 EXL2	1	5	11 GB

Best Alternatives to Internlm2 7B

Best Alternatives	Context / RAM	Downloads	Likes
Internlm2 5 7B	256K / 15.5 GB	3236	18
Internlm2 5 7B Chat 1M	256K / 15.4 GB	396	72
Internlm2 5 7B Chat	32K / 15.4 GB	132413	201
ChemLLM 7B Chat 1 5 SFT	32K / 15.4 GB	14958	5
Internlm2 Chat 7B	32K / 15.4 GB	68687	83
Internlm2 Base 7B	32K / 15.5 GB	19872	10
MD Judge V0.2 Internlm2 7b	32K / 15.4 GB	560	17
...nternlm2 5 7B Chat Abliterated	32K / 15.4 GB	8	2
GouMang	32K / 15.4 GB	23	0
Internlm2 Chat 7B Sft	32K / 15.4 GB	3953	6

Note: green Score (e.g. "73.2") means that the model is better than internlm/internlm2-7b.