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Open Llama 7B V2 Open Instruct GPTQ by TheBloke

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Open Llama 7B V2 Open Instruct GPTQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 4GB, Context: 2K, License: other, Quantized, Instruction-Based, HF Score: 42.6, LLM Explorer Score: 0.12, Arc: 49.7, HellaSwag: 73.7, MMLU: 31.5, TruthfulQA: 34.7, WinoGrande: 65.4, GSM8K: 0.5.

  4-bit   Gptq   Instruct   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/open-llama-7B-v2-open-instruct-GPTQ 

Open Llama 7B V2 Open Instruct GPTQ Benchmarks

ARC: 49.74 vs 96.7 (so35)-48.6%
HellaSwag: 73.67 vs 95.3 (gpt4)-22.7%
MMLU: 31.52 vs 88.3 (so35)-64.3%
TruthfulQA: 34.65 vs 59 (gpt4)-41.3%
WinoGrande: 65.43 vs 87.5 (gpt4)-25.2%
GSM8K: 0.53 vs 96.4 (so35)-99.5%
LLME Score: 0.11884
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Open Llama 7B V2 Open Instruct GPTQ (TheBloke/open-llama-7B-v2-open-instruct-GPTQ)
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Open Llama 7B V2 Open Instruct GPTQ Parameters and Internals

Model Type 
Instruction-tuned, Text generation
Use Cases 
Areas:
Research, Commercial applications
Applications:
Large-scale text generation tasks
Primary Use Cases:
Instruction adherence, Writing assistance
Supported Languages 
English (Proficient)
Training Details 
Data Sources:
Open-instruct (oasst, dolly, hhrlhf)
Data Volume:
Subset of COT SUBMIX - FLAN V2
Methodology:
Instruction tuned using an improved instruction tuning dataset
Model Architecture:
Transformer based architecture
Input Output 
Input Format:
Text prompt following Alpaca format
Accepted Modalities:
text
Output Format:
Generated text response
Performance Tips:
Use recommended GPU settings for best performance
LLM NameOpen Llama 7B V2 Open Instruct GPTQ
Repository 🤗https://huggingface.co/TheBloke/open-llama-7B-v2-open-instruct-GPTQ 
Base Model(s)  Open Llama 7B Open Instruct   VMware/open-llama-7b-open-instruct
Model Size7b
Required VRAM4 GB
Updated2026-02-27
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  4.0 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.30.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/open-llama-7B-v2-open-instruct-GPTQ.

Rank the Open Llama 7B V2 Open Instruct GPTQ 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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