Internlm2 Chat 20B is an open-source language model by internlm. Features: 20b LLM, VRAM: 39.7GB, Context: 32K, License: other, LLM Explorer Score: 0.17.
- 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.
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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