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Lazarus 30B SuperHOT 8K GPTQ by MrDragonFox

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  4bit   Autotrain compatible   Endpoints compatible   Ext 8k   Gptq   Llama   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/MrDragonFox/Lazarus-30b-SuperHOT-8k-GPTQ 

Lazarus 30B SuperHOT 8K GPTQ Benchmarks

LLME Score: 0.09232
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Lazarus 30B SuperHOT 8K GPTQ (MrDragonFox/Lazarus-30b-SuperHOT-8k-GPTQ)
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Lazarus 30B SuperHOT 8K GPTQ Parameters and Internals

Input Output 
Input Format:
Maximum sequence length of 8192 with --compress_pos_emb 4
Performance Tips:
For sequence length of 16384, set --compress_pos_emb to 8 with two A6000 GPUs
LLM NameLazarus 30B SuperHOT 8K GPTQ
Repository 🤗https://huggingface.co/MrDragonFox/Lazarus-30b-SuperHOT-8k-GPTQ 
Base Model(s)  Lazarus 30B SuperHOT 8K   MrDragonFox/Lazarus-30b-SuperHOT-8k
Model Size30b
Required VRAM19.4 GB
Updated2025-10-13
MaintainerMrDragonFox
Model Typellama
Model Files  19.4 GB
GPTQ QuantizationYes
Context Length8k
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.30.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than MrDragonFox/Lazarus-30b-SuperHOT-8k-GPTQ.

Rank the Lazarus 30B SuperHOT 8K GPTQ 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  
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Multi-Language Support and Translation  

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Release v20241124
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