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TopEvolution DPO 32K GGUF by MaziyarPanahi

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Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/TopEvolution-DPO-32K-GGUF 

TopEvolution DPO 32K GGUF Benchmarks

LLME Score: 0.17789
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TopEvolution DPO 32K GGUF (MaziyarPanahi/TopEvolution-DPO-32K-GGUF)

TopEvolution DPO 32K GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model is available in GGUF format, a new data format introduced by the llama.cpp team, which supersedes GGML. The model is compatible with various platforms and tools that support GGUF, including llama.cpp, llama-cpp-python, LM Studio, and several others.
LLM NameTopEvolution DPO 32K GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/TopEvolution-DPO-32K-GGUF 
Model NameTopEvolution-DPO-32K-GGUF
Model Creatormergekit-community
Base Model(s)  mergekit-community/TopEvolution-DPO-32K   mergekit-community/TopEvolution-DPO-32K
Model Size7b
Required VRAM2.7 GB
Updated2025-06-01
MaintainerMaziyarPanahi
Model Typemistral
Instruction-BasedYes
Model Files  2.7 GB   3.8 GB   3.5 GB   3.2 GB   4.4 GB   4.1 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

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Mistral 7B Instruct V0.2 GGUF0K / 3.1 GB48841436
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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/TopEvolution-DPO-32K-GGUF.

Rank the TopEvolution DPO 32K GGUF 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 v20241227
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