HomeInternLM2-Chat-20B
20B
Model parameter quantity
Shanghai AI Laboratory
Affiliated organization
Open Source
License Type
January 11, 2024
Release time
Model Introduction
The second generation of the InternLM model, InternLM2, includes models at two scales: 7B and 20B.
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
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Language comprehension ability
Often makes semantic misjudgments, leading to obvious logical disconnects in responses.
5.1
Knowledge coverage scope
Has significant knowledge blind spots, often showing factual errors and repeating outdated information.
5.9
Reasoning ability
Unable to maintain coherent reasoning chains, often causing inverted causality or miscalculations.
2.6
Model comparison
InternLM2-Chat-20B vs Qwen2.5-7B-Instruct
Like Qwen2, the Qwen2.5 language models support up to 128K tokens and can generate up to 8K tokens. They also maintain multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.
InternLM2-Chat-20B vs Hunyuan-T1-20250822
The deep reasoning model independently developed by Tencent adopts the version number hunyuan-t1-20250822.
InternLM2-Chat-20B vs Spark-X1
The inference model Spark X1 released by iFlytek, on the basis of leading domestic mathematical tasks, benchmarks the performance of general tasks such as inference, text generation, and language understanding against OpenAI o1 and DeepSeek R1.
Related model
InternLM2-Chat-20B
The second generation of the InternLM model, InternLM2, includes models at two scales: 7B and 20B.
InternLM2.5-Chat-7B
The 2.5 generation of the InternLM model, InternLM2.5, includes models at three scales: 1.8B, 7B and 20B.
InternLM3-8B-Instruct
InternLM3-8B-Instruct is a high-performance, low-cost 8-billion parameter instruction model designed for complex reasoning and smooth interaction, supporting advanced reasoning tasks and knowledge-intensive applications through deep thinking and normal response modes.
InternLM2.5-Chat-7B
The 2.5 generation of the InternLM model, InternLM2.5, includes models at three scales: 1.8B, 7B and 20B.
InternLM2.5-Chat-7B
The 2.5 generation of the InternLM model, InternLM2.5, includes models at three scales: 1.8B, 7B and 20B.
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