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WestSeverus 7B DPO GPTQ by TheBloke

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WestSeverus 7B DPO GPTQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

  Arxiv:1910.09700   4-bit Base model:petrogpt/westseveru... Base model:quantized:petrogpt/...   Gptq   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/WestSeverus-7B-DPO-GPTQ 

WestSeverus 7B DPO GPTQ Benchmarks

LLME Score: 0.10923
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WestSeverus 7B DPO GPTQ (TheBloke/WestSeverus-7B-DPO-GPTQ)
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WestSeverus 7B DPO GPTQ Parameters and Internals

LLM NameWestSeverus 7B DPO GPTQ
Repository 🤗https://huggingface.co/TheBloke/WestSeverus-7B-DPO-GPTQ 
Model NameWestSeverus 7B DPO
Model CreatorPetroGPT
Base Model(s)  WestSeverus 7B DPO   PetroGPT/WestSeverus-7B-DPO
Model Size7b
Required VRAM4.2 GB
Updated2026-04-30
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding 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/WestSeverus-7B-DPO-GPTQ.

Rank the WestSeverus 7B DPO 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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