Llama 2 70B LoRA Assemble V2 AWQ by TheBloke

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Llama 2 70B LoRA Assemble V2 AWQ is an open-source language model by TheBloke. Features: 70b LLM, VRAM: 36.6GB, Context: 4K, License: llama2, Quantized, LLM Explorer Score: 0.09.

  4-bit   Awq Base model:oh-yeontaek/llama-2... Base model:quantized:oh-yeonta...   Llama   Lora   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Llama 2 70B LoRA Assemble V2 AWQ Benchmarks

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 AWQ Parameters and Internals

Model Type 
llama
Input Output 
Input Format:
{prompt}
LLM NameLlama 2 70B LoRA Assemble V2 AWQ
Repository 🤗https://huggingface.co/TheBloke/Llama-2-70B-LoRA-Assemble-v2-AWQ 
Model NameLlama 2 70B LoRA Assemble v2
Model Creatoroh-yeontaek
Base Model(s)  Llama 2 70B LoRA Assemble V2   oh-yeontaek/llama-2-70B-LoRA-assemble-v2
Model Size70b
Required VRAM36.6 GB
Updated2026-04-28
MaintainerTheBloke
Model Typellama
Model Files  9.9 GB: 1-of-4   9.9 GB: 2-of-4   9.9 GB: 3-of-4   6.9 GB: 4-of-4
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
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

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Llama-2-70B-LoRA-Assemble-v2-AWQ.

Rank the Llama 2 70B LoRA Assemble V2 AWQ 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 v20260328a