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Llama Deus 7B V3 Lora Merged by teknium

 »  All LLMs  »  teknium  »  Llama Deus 7B V3 Lora Merged   URL Share it on

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  Endpoints compatible   Llama   Lora   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/teknium/llama-deus-7b-v3-lora-merged 

Llama Deus 7B V3 Lora Merged Benchmarks

LLME Score: 0.08426
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama Deus 7B V3 Lora Merged (teknium/llama-deus-7b-v3-lora-merged)
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Llama Deus 7B V3 Lora Merged Parameters and Internals

Additional Notes 
Llama 7B LoRA is fully merged with llama7b.
Training Details 
Data Sources:
GPTeacher, General Instruct, Code Instruct, Roleplay Instruct, Unreleased Roleplay V2 Instruct, GPT4-LLM Uncensored + Unnatural Instructions, WizardLM Uncensored, CamelAI's 20k Biology, 20k Physics, 20k Chemistry, and 50k Math GPT4 Datasets, CodeAlpaca
Training Time:
1 day
Model Architecture:
rank 128 LORA that targets attention heads, LM_Head, and MLP layers
Input Output 
Input Format:
### Instruction: ### Response: or ### Instruction: ### Input: ### Response:
LLM NameLlama Deus 7B V3 Lora Merged
Repository 🤗https://huggingface.co/teknium/llama-deus-7b-v3-lora-merged 
Model Size7b
Required VRAM13.5 GB
Updated2026-01-10
Maintainerteknium
Model Typellama
Model Files  9.8 GB: 1-of-2   3.7 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.29.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
LoRA ModelYes
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than teknium/llama-deus-7b-v3-lora-merged.

Rank the Llama Deus 7B V3 Lora Merged 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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