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Internlm2 5 7B Chat 1M by internlm

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Internlm2 5 7B Chat 1M is an open-source language model by internlm. Features: 7b LLM, VRAM: 15.4GB, Context: 256K, License: other, LLM Explorer Score: 0.16.

  Arxiv:2403.17297   Conversational   Custom code   Feature-extraction   Internlm2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/internlm/internlm2_5-7b-chat-1m 

Internlm2 5 7B Chat 1M Benchmarks

LLME Score: 0.15706
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Internlm2 5 7B Chat 1M (internlm/internlm2_5-7b-chat-1m)
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Internlm2 5 7B Chat 1M Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
academic research, commercial applications
Input Output 
Accepted Modalities:
text
Performance Tips:
For 1M context length, use LMDeploy with 4xA100-80G hardware.
LLM NameInternlm2 5 7B Chat 1M
Repository 🤗https://huggingface.co/internlm/internlm2_5-7b-chat-1m 
Model Size7b
Required VRAM15.4 GB
Updated2026-05-02
Maintainerinternlm
Model Typeinternlm2
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 ArchitectureInternLM2ForCausalLM
Licenseother
Context Length262144
Model Max Length262144
Transformers Version4.41.0
Is Biased0
Tokenizer ClassInternLM2Tokenizer
Padding Token</s>
Vocabulary Size92544
Torch Data Typebfloat16

Best Alternatives to Internlm2 5 7B Chat 1M

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Internlm2 5 7B256K / 15.5 GB303918
Internlm2 5 7B Chat32K / 15.4 GB42348200
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Internlm2 Chat 7B32K / 15.4 GB4696083
Internlm2 Base 7B32K / 15.5 GB2006210
ChemLLM 7B Chat 1 5 SFT32K / 15.4 GB295
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...nternlm2 5 7B Chat Abliterated32K / 15.4 GB1492
GouMang32K / 15.4 GB70
Internlm2 Chat 7B Sft32K / 15.4 GB33476
Note: green Score (e.g. "73.2") means that the model is better than internlm/internlm2_5-7b-chat-1m.

Rank the Internlm2 5 7B Chat 1M Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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