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CLEX Mixtral 8x7B Chat 32K by DAMO-NLP-SG

 »  All LLMs  »  DAMO-NLP-SG  »  CLEX Mixtral 8x7B Chat 32K   URL Share it on

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  Arxiv:2310.16450   Autotrain compatible   Conversational   Custom code Dataset:damo-nlp-sg/longcorpus...   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DAMO-NLP-SG/CLEX-Mixtral-8x7B-Chat-32K 

CLEX Mixtral 8x7B Chat 32K Benchmarks

ARC: 66.38 vs 96.7 (so35)-31.4%
HellaSwag: 86.48 vs 95.3 (gpt4)-9.3%
MMLU: 70.12 vs 88.3 (so35)-20.6%
TruthfulQA: 56.47 vs 59 (gpt4)-4.3%
WinoGrande: 82.56 vs 87.5 (gpt4)-5.6%
GSM8K: 50.49 vs 96.4 (so35)-47.6%
LLME Score: 0.14416
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CLEX Mixtral 8x7B Chat 32K (DAMO-NLP-SG/CLEX-Mixtral-8x7B-Chat-32K)
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CLEX Mixtral 8x7B Chat 32K Parameters and Internals

Model Type 
Large Language Model, Chatbot
Additional Notes 
The CLEX model provides continuous length extrapolation capabilities without recurrent memory caching or sparse attention requirements. It efficiently extends context window size.
Training Details 
Data Sources:
UltraChat 200k
Methodology:
Continuous Length Extrapolation
Context Length:
32000
LLM NameCLEX Mixtral 8x7B Chat 32K
Repository 🤗https://huggingface.co/DAMO-NLP-SG/CLEX-Mixtral-8x7B-Chat-32K 
Model Size46.7b
Required VRAM93.6 GB
Updated2025-09-23
MaintainerDAMO-NLP-SG
Model Typemixtral
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19
Model ArchitectureMixtralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than DAMO-NLP-SG/CLEX-Mixtral-8x7B-Chat-32K.

Rank the CLEX Mixtral 8x7B Chat 32K 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 v20241124
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