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Yarn Llama 2 7B 128K GPTQ by TheBloke

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Yarn Llama 2 7B 128K GPTQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 3.9GB, Context: 128K, License: llama2, Quantized, LLM Explorer Score: 0.09.

  Arxiv:2309.00071   4-bit Base model:nousresearch/yarn-l... Base model:quantized:nousresea...   Custom code   Dataset:pg19   Gptq   Llama   Quantized   Region:us   Safetensors   Yarn
Model Card on HF 🤗: https://huggingface.co/TheBloke/Yarn-Llama-2-7B-128K-GPTQ 

Yarn Llama 2 7B 128K GPTQ Benchmarks

LLME Score: 0.09043
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yarn Llama 2 7B 128K GPTQ (TheBloke/Yarn-Llama-2-7B-128K-GPTQ)
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Yarn Llama 2 7B 128K GPTQ Parameters and Internals

Model Type 
llama
LLM NameYarn Llama 2 7B 128K GPTQ
Repository 🤗https://huggingface.co/TheBloke/Yarn-Llama-2-7B-128K-GPTQ 
Model NameYarn Llama 2 7B 128K
Model CreatorNousResearch
Base Model(s)  Yarn Llama 2 7B 128K   NousResearch/Yarn-Llama-2-7b-128k
Model Size7b
Required VRAM3.9 GB
Updated2026-04-28
MaintainerTheBloke
Model Typellama
Model Files  3.9 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length131072
Model Max Length131072
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Yarn-Llama-2-7B-128K-GPTQ.

Rank the Yarn Llama 2 7B 128K 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  
Code Generation  
Multi-Language Support and Translation  

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