Neural Chat 7B V3.3 GGUF by TheBloke

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Base model:intel/neural-chat-7... Base model:quantized:intel/neu...   Gguf   Mistral   Quantized   Region:us

Neural Chat 7B V3.3 GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Neural Chat 7B V3.3 GGUF Parameters and Internals

Model Type 
mistral
Use Cases 
Primary Use Cases:
Language-related tasks
Limitations:
The model should not be used to intentionally create hostile or alienating environments for people.
Training Details 
Data Sources:
meta-math/MetaMathQA, Intel/orca_dpo_pairs
Methodology:
Direct Performance Optimization (DPO)
Hardware Used:
Intel Gaudi 2 processor
Input Output 
Input Format:
### System: {system_message} ### User: {prompt} ### Assistant:
LLM NameNeural Chat 7B V3.3 GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/neural-chat-7B-v3-3-GGUF 
Model NameNeural Chat 7B V3-3
Model CreatorIntel
Base Model(s)  Neural Chat 7B V3.3   Intel/neural-chat-7b-v3-3
Model Size7b
Required VRAM3.1 GB
Updated2025-06-09
MaintainerTheBloke
Model Typemistral
Model Files  3.1 GB   3.8 GB   3.5 GB   3.2 GB   4.1 GB   4.4 GB   4.1 GB   5.0 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0
Neural Chat 7B V3.3 GGUF (TheBloke/neural-chat-7B-v3-3-GGUF)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/neural-chat-7B-v3-3-GGUF.

Rank the Neural Chat 7B V3.3 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124