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Llama 2 70B LoRA Assemble V2 by oh-yeontaek

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Llama 2 70B LoRA Assemble V2 is an open-source language model by oh-yeontaek. Features: 70b LLM, VRAM: 138GB, Context: 4K, LLM Explorer Score: 0.11, Arc: 71.8, HellaSwag: 86.9, MMLU: 69.4, GSM8K: 14.3.

  Endpoints compatible   Llama   Lora   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/oh-yeontaek/llama-2-70B-LoRA-assemble-v2 

Llama 2 70B LoRA Assemble V2 Benchmarks

ARC: 71.84 vs 96.7 (so35)-25.7%
HellaSwag: 86.89 vs 95.3 (gpt4)-8.8%
MMLU: 69.37 vs 88.3 (so35)-21.4%
GSM8K: 14.25 vs 96.4 (so35)-85.2%
LLME Score: 0.11005
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 2 70B LoRA Assemble V2 (oh-yeontaek/llama-2-70B-LoRA-assemble-v2)
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Llama 2 70B LoRA Assemble V2 Parameters and Internals

LLM NameLlama 2 70B LoRA Assemble V2
Repository 🤗https://huggingface.co/oh-yeontaek/llama-2-70B-LoRA-assemble-v2 
Model Size70b
Required VRAM138 GB
Updated2026-05-18
Maintaineroh-yeontaek
Model Typellama
Model Files  9.8 GB: 1-of-15   9.8 GB: 2-of-15   10.0 GB: 3-of-15   9.8 GB: 4-of-15   9.8 GB: 5-of-15   9.8 GB: 6-of-15   10.0 GB: 7-of-15   9.8 GB: 8-of-15   9.8 GB: 9-of-15   9.8 GB: 10-of-15   10.0 GB: 11-of-15   9.8 GB: 12-of-15   9.8 GB: 13-of-15   9.5 GB: 14-of-15   0.5 GB: 15-of-15
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
LoRA ModelYes
Torch Data Typefloat16

Quantized Models of the Llama 2 70B LoRA Assemble V2

Model
Likes
Downloads
VRAM
...ma 2 70B LoRA Assemble V2 GGUF19429 GB
...ama 2 70B LoRA Assemble V2 AWQ1736 GB
...ma 2 70B LoRA Assemble V2 GPTQ21035 GB

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Note: green Score (e.g. "73.2") means that the model is better than oh-yeontaek/llama-2-70B-LoRA-assemble-v2.

Rank the Llama 2 70B LoRA Assemble V2 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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