What are the hardware requirements for Internlm2 Wqx 20B?

Internlm2 Wqx 20B requires approximately 39.7 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Internlm2 Wqx 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 Wqx 20B?

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

Internlm2 Wqx 20B by internlm — VRAM 39.7GB, 4K context

Name: Internlm2 Wqx 20B
Rating: 4 (8 reviews)
Author: internlm

Internlm2 Wqx 20B is an open-source language model by internlm. Features: 20b LLM, VRAM: 39.7GB, Context: 4K, LLM Explorer Score: 0.13.

Custom code Internlm2 Region:us Safetensors Sharded Tensorflow

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

Internlm2 Wqx 20B Parameters and Internals

Model Type

text generation, natural language processing

Additional Notes

InternLM2-WQX and InternLM2-WQX-VL are part of the 文曲星系列 (Wen Quxing Series) models, showing excellent performance on challenging standardized tests.

Release Notes

Date:

2024

Notes:

InternLM2-WQX released before the 2024 高考 exams, designed to challenge and test intelligence levels similar to human exams.

LLM Name	Internlm2 Wqx 20B
Repository 🤗	https://huggingface.co/internlm/internlm2-wqx-20b
Model Size	20b
Required VRAM	39.7 GB
Updated	2026-08-05
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
Context Length	4096
Model Max Length	4096
Transformers Version	4.41.0
Is Biased	0
Tokenizer Class	InternLM2Tokenizer
Padding Token	</s>
Vocabulary Size	92544
Torch Data Type	bfloat16

Rank the Internlm2 Wqx 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 Wqx 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
Internlm2 Base 20B	32K / 39.7 GB	15804	8
...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

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