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Neural Chat 7B V3.1 GPTQ by TheBloke

 »  All LLMs  »  TheBloke  »  Neural Chat 7B V3.1 GPTQ   URL Share it on

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  4-bit   Autotrain compatible Base model:intel/neural-chat-7... Base model:quantized:intel/neu...   Gptq   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/neural-chat-7B-v3-1-GPTQ 

Neural Chat 7B V3.1 GPTQ Benchmarks

LLME Score: 0.14559
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 V3.1 GPTQ (TheBloke/neural-chat-7B-v3-1-GPTQ)

Neural Chat 7B V3.1 GPTQ Parameters and Internals

Model Type 
chatbot, text generation
Use Cases 
Areas:
Research, Commercial Applications
Limitations:
Can produce factually incorrect or biased outputs, Can generate lewd or offensive content
Considerations:
Perform safety testing prior to application deployment.
Additional Notes 
The model was fine-tuned on the Habana Gaudi2 AI processor optimized for deep learning.
Training Details 
Data Sources:
Open-Orca/SlimOrca, mistralai/Mistral-7B-v0.1
Methodology:
Fine-tuning and Direct Preference Optimization
Hardware Used:
Habana Gaudi2
Responsible Ai Considerations 
Accountability:
Intel/SATG/AIA/AIPT
Mitigation Strategies:
Perform safety testing before deployment.
Input Output 
Input Format:
{system_message} and {prompt}
Accepted Modalities:
text
Output Format:
Assistant's response
Release Notes 
Version:
v3-1
Date:
October 2023
Notes:
Significant performance improvements with evaluation scores on open_llm_leaderboard.
LLM NameNeural Chat 7B V3.1 GPTQ
Repository 🤗https://huggingface.co/TheBloke/neural-chat-7B-v3-1-GPTQ 
Model NameNeural Chat 7B v3-1
Model CreatorIntel
Base Model(s)  Neural Chat 7B V3.1   Intel/neural-chat-7b-v3-1
Model Size7b
Required VRAM4.2 GB
Updated2025-02-22
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.0
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 TheBloke/neural-chat-7B-v3-1-GPTQ.

Rank the Neural Chat 7B V3.1 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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