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Neural Chat 7B V3.3 GPTQ by MaziyarPanahi

 »  All LLMs  »  MaziyarPanahi  »  Neural Chat 7B V3.3 GPTQ   URL Share it on

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  Arxiv:2309.12284   4-bit   Autotrain compatible Base model:finetune:intel/neur... Base model:intel/neural-chat-7...   Endpoints compatible   Finetuned   Gptq   Intel   Math   Mistral   Model-index   Pytorch   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/neural-chat-7b-v3-3-GPTQ 

Neural Chat 7B V3.3 GPTQ Benchmarks

LLME Score: 0.15752
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Neural Chat 7B V3.3 GPTQ (MaziyarPanahi/neural-chat-7b-v3-3-GPTQ)

Neural Chat 7B V3.3 GPTQ Parameters and Internals

Model Type 
text generation, LLMs
Input Output 
Accepted Modalities:
text
LLM NameNeural Chat 7B V3.3 GPTQ
Repository 🤗https://huggingface.co/MaziyarPanahi/neural-chat-7b-v3-3-GPTQ 
Model Nameneural-chat-7b-v3-3-GPTQ
Model CreatorIntel
Base Model(s)  Neural Chat 7B V3.3   Intel/neural-chat-7b-v3-3
Model Size7b
Required VRAM4.2 GB
Updated2025-03-14
MaintainerMaziyarPanahi
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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

Rank the Neural Chat 7B V3.3 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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