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30B Lazarus AWQ by TheBloke

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  4-bit   Alpaca   Autotrain compatible   Awq Base model:calderaai/30b-lazar... Base model:quantized:calderaai...   Cot   Llama   Merge   Mix   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Uncensored   Vicuna
Model Card on HF 🤗: https://huggingface.co/TheBloke/30B-Lazarus-AWQ 

30B Lazarus AWQ Benchmarks

LLME Score: 0.11906
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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30B Lazarus AWQ Parameters and Internals

Model Type 
llama
Additional Notes 
Instruct and Setup Suggestions: Alpaca instruct is primary, Vicuna instruct format may work.
Training Details 
Data Sources:
wikitext, manticore-30b-chat-pyg-alpha, SuperCOT-LoRA, Storytelling-LLaMa-LoRA, SuperHOT Prototype, GPT4-Alpaca-LoRA, Vicuna Unlocked LoRA
Methodology:
Experimental use of LoRAs on language models and model merges
Context Length:
4096
Model Architecture:
AWQ 128g models, composite model using LoRAs
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
Performance Tips:
Switching between Godlike and Storywriter presets and adjusting output length + instructions in memory can yield different results.
LLM Name30B Lazarus AWQ
Repository 🤗https://huggingface.co/TheBloke/30B-Lazarus-AWQ 
Model Name30B Lazarus
Model CreatorCaldera AI
Base Model(s)  30B Lazarus   CalderaAI/30B-Lazarus
Model Size30b
Required VRAM17.6 GB
Updated2025-06-10
MaintainerTheBloke
Model Typellama
Model Files  10.0 GB: 1-of-2   7.6 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
30B Lazarus AWQ (TheBloke/30B-Lazarus-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/30B-Lazarus-AWQ.

Rank the 30B Lazarus AWQ 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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