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Intel Neural Chat 7B V3.1 4bits by RichardErkhov

 »  All LLMs  »  RichardErkhov  »  Intel Neural Chat 7B V3.1 4bits   URL Share it on

  77   
  Arxiv:2306.02707   4-bit   Autotrain compatible   Bitsandbytes   Endpoints compatible   Intel   Mistral   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/RichardErkhov/Intel_-_neural-chat-7b-v3-1-4bits 

Intel Neural Chat 7B V3.1 4bits Benchmarks

LLME Score: 0.18721
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Intel Neural Chat 7B V3.1 4bits (RichardErkhov/Intel_-_neural-chat-7b-v3-1-4bits)

Intel Neural Chat 7B V3.1 4bits Parameters and Internals

Model Type 
Large Language Model
Use Cases 
Areas:
Research, Commercial applications
Primary Use Cases:
Language-related tasks
Limitations:
Model needs fine-tuning for specific tasks., Risk of generating biased or offensive outputs.
Considerations:
Users should be aware of risks, biases and limitations.
Supported Languages 
en (fluent)
Training Details 
Data Sources:
Open-Orca/SlimOrca
Methodology:
Direct Performance Optimization (DPO)
Context Length:
8192
Hardware Used:
Intel Gaudi 2 processor (8 cards)
Model Architecture:
Fine-tuned 7B parameter model
Safety Evaluation 
Methodologies:
Fine-tuning with safety and preference optimizations
Ethical Considerations:
Model can produce factually incorrect or offensive outputs.
Responsible Ai Considerations 
Fairness:
Model may generate biased outputs, requires further safety testing before deployment.
Transparency:
Model performance can vary based on inputs.
Mitigation Strategies:
Perform safety testing before deploying in applications.
Input Output 
Accepted Modalities:
text
Performance Tips:
Model performance can vary significantly based on input prompts.
Release Notes 
Version:
v3-1
Date:
October, 2023
Notes:
Fine-tuned model released with improvements over Mistral-7B-v0.1.
LLM NameIntel Neural Chat 7B V3.1 4bits
Repository 🤗https://huggingface.co/RichardErkhov/Intel_-_neural-chat-7b-v3-1-4bits 
Model Size7b
Required VRAM4.5 GB
Updated2025-02-22
MaintainerRichardErkhov
Model Typemistral
Model Files  4.5 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
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 RichardErkhov/Intel_-_neural-chat-7b-v3-1-4bits.

Rank the Intel Neural Chat 7B V3.1 4bits 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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