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LongAlign 13B 64K GGUF by MaziyarPanahi

 »  All LLMs  »  MaziyarPanahi  »  LongAlign 13B 64K GGUF   URL Share it on

  885   
  Arxiv:2401.18058   2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Autotrain compatible Base model:quantized:thudm/lon... Base model:thudm/longalign-13b...   Dataset:thudm/longalign-10k   En   Endpoints compatible   Gguf   Llama   Long context   Mistral   Pytorch   Quantized   Region:us   Zh
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/LongAlign-13B-64k-GGUF 

LongAlign 13B 64K GGUF Benchmarks

LLME Score: 0.17761
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LongAlign 13B 64K GGUF (MaziyarPanahi/LongAlign-13B-64k-GGUF)

LongAlign 13B 64K GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
Supports quantization formats: 2-bit, 3-bit, 4-bit, 5-bit, 6-bit, 8-bit. Compatible with GGUF and various libraries such as llama.cpp and text-generation-webui.
Supported Languages 
en (fluent), zh (limited)
LLM NameLongAlign 13B 64K GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/LongAlign-13B-64k-GGUF 
Model NameLongAlign-13B-64k-GGUF
Model CreatorTHUDM
Base Model(s)  LongAlign 13B 64K   THUDM/LongAlign-13B-64k
Model Size13b
Required VRAM4.9 GB
Updated2025-03-12
MaintainerMaziyarPanahi
Model Typemistral
Model Files  4.9 GB   6.9 GB   6.3 GB   5.7 GB   7.9 GB   7.4 GB   9.2 GB   9.0 GB   10.7 GB   13.8 GB   26.0 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/LongAlign-13B-64k-GGUF.

Rank the LongAlign 13B 64K GGUF 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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