What are the hardware requirements for Internlm2 Chat 7B?

Internlm2 Chat 7B requires approximately 15.4 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 Chat 7B and how large is it?

Internlm2 Chat 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.

Where can I download or evaluate Internlm2 Chat 7B?

Internlm2 Chat 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Internlm2 Chat 7B by internlm — VRAM 15.4GB, 32K context

Name: Internlm2 Chat 7B
Author: internlm

Internlm2 Chat 7B is an open-source language model by internlm. Features: 7b LLM, VRAM: 15.4GB, Context: 32K, License: other, LLM Explorer Score: 0.16.

Arxiv:2403.17297 Conversational Custom code Internlm2 Region:us Safetensors Sharded Tensorflow

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

Internlm2 Chat 7B Parameters and Internals

Model Type

text-generation

Use Cases

Areas:

research, commercial applications

Primary Use Cases:

text generation

Limitations:

The model may produce unexpected outputs such as biased, discriminatory, or harmful content.

Additional Notes

Model can handle 200K context window, excelling in long-context tasks.

Training Details

Context Length:

200000

Safety Evaluation

Ethical Considerations:

Although efforts were made to ensure safety, the model may produce unexpected outputs due to its size and probabilistic generation paradigm, potentially including biased, discriminatory, or harmful content.

Input Output

Input Format:

text prompt

Accepted Modalities:

text

Output Format:

generated text

Performance Tips:

Use LMDeploy for better long-context inference and resource efficiency.

LLM Name	Internlm2 Chat 7B
Repository 🤗	https://huggingface.co/internlm/internlm2-chat-7b
Model Size	7b
Required VRAM	15.4 GB
Updated	2026-08-05
Maintainer	internlm
Model Type	internlm2
Model Files	1.9 GB: 1-of-8 1.9 GB: 2-of-8 2.0 GB: 3-of-8 1.9 GB: 4-of-8 2.0 GB: 5-of-8 1.9 GB: 6-of-8 2.0 GB: 7-of-8 1.8 GB: 8-of-8
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 Chat 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

Best Alternatives to Internlm2 Chat 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
Internlm2 7B	32K / 15.5 GB	23773	43
ChemLLM 7B Chat 1 5 SFT	32K / 15.4 GB	14958	5
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-chat-7b.