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EasyContext 256K Danube2 1.8B by PY007

 »  All LLMs  »  PY007  »  EasyContext 256K Danube2 1.8B   URL Share it on

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EasyContext 256K Danube2 1.8B is an open-source language model by PY007. Features: 1.8b LLM, VRAM: 3.7GB, Context: 8K, LLM Explorer Score: 0.12.

  Endpoints compatible   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/PY007/EasyContext-256K-danube2-1.8b 

EasyContext 256K Danube2 1.8B Benchmarks

LLME Score: 0.12196
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EasyContext 256K Danube2 1.8B (PY007/EasyContext-256K-danube2-1.8b)
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EasyContext 256K Danube2 1.8B Parameters and Internals

Model Type 
context-extrapolated base model
Additional Notes 
Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.
Training Details 
Methodology:
Finetuned with EasyContext on context length 256K
Context Length:
256000
Input Output 
Performance Tips:
You can use this model with context length longer than 4096.
LLM NameEasyContext 256K Danube2 1.8B
Repository 🤗https://huggingface.co/PY007/EasyContext-256K-danube2-1.8b 
Model Size1.8b
Required VRAM3.7 GB
Updated2026-06-27
MaintainerPY007
Model Typellama
Model Files  3.7 GB
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.39.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than PY007/EasyContext-256K-danube2-1.8b.

Rank the EasyContext 256K Danube2 1.8B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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