Internlm2 Chat 20B by internlm

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Internlm2 Chat 20B is an open-source language model by internlm. Features: 20b LLM, VRAM: 39.7GB, Context: 32K, License: other, LLM Explorer Score: 0.16.

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

Internlm2 Chat 20B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Internlm2 Chat 20B Parameters and Internals

Model Type 
text generation
Additional Notes 
- InternLM2-Chat-20B is designed to support practical applications and demonstrations, with a strong emphasis on tool use and task decomposition capabilities. - Its context length support is exceptionally high at 200K tokens, making it well-suited for long-context scenarios such as LongBench and L-Eval tasks.
Supported Languages 
English (fluent), Chinese (fluent)
Training Details 
Data Volume:
Large
Context Length:
200000
Model Architecture:
Causal Language Model
Input Output 
Input Format:
Text prompts
Accepted Modalities:
text
Output Format:
Generated text
Performance Tips:
Use LMDeploy or similar frameworks for optimal performance on long-context tasks.
LLM NameInternlm2 Chat 20B
Repository 🤗https://huggingface.co/internlm/internlm2-chat-20b 
Model Size20b
Required VRAM39.7 GB
Updated2026-05-18
Maintainerinternlm
Model Typeinternlm2
Model Files  1.9 GB: 1-of-21   1.9 GB: 2-of-21   2.0 GB: 3-of-21   1.9 GB: 4-of-21   2.0 GB: 5-of-21   1.9 GB: 6-of-21   2.0 GB: 7-of-21   1.9 GB: 8-of-21   2.0 GB: 9-of-21   1.9 GB: 10-of-21   2.0 GB: 11-of-21   1.9 GB: 12-of-21   2.0 GB: 13-of-21   1.9 GB: 14-of-21   2.0 GB: 15-of-21   1.9 GB: 16-of-21   2.0 GB: 17-of-21   1.9 GB: 18-of-21   2.0 GB: 19-of-21   1.6 GB: 20-of-21   1.1 GB: 21-of-21
Model ArchitectureInternLM2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.41.0
Is Biased0
Tokenizer ClassInternLM2Tokenizer
Padding Token</s>
Vocabulary Size92544
Torch Data Typebfloat16

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

Rank the Internlm2 Chat 20B Capabilities

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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  

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Release v20260328a