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Neural Chat 7B V3.1 Int4 Inc by Intel

 »  All LLMs  »  Intel  »  Neural Chat 7B V3.1 Int4 Inc   URL Share it on

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  Arxiv:2309.05516   4-bit   Autotrain compatible   En   Endpoints compatible   Gptq   Intel   Mistral   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Intel/neural-chat-7b-v3-1-int4-inc 

Neural Chat 7B V3.1 Int4 Inc Benchmarks

LLME Score: 0.17259
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 Int4 Inc (Intel/neural-chat-7b-v3-1-int4-inc)

Neural Chat 7B V3.1 Int4 Inc Parameters and Internals

Model Type 
LLMs
Additional Notes 
The model can produce factually incorrect output and should not be relied on for factual information. Limitations from pretrained and finetuned datasets may lead to biased or offensive outputs.
Supported Languages 
en (high)
Responsible Ai Considerations 
Fairness:
The model may produce lewd, biased or otherwise offensive outputs.
Transparency:
Users should be aware of the risks and limitations.
Accountability:
Developers should perform safety testing before deploying.
LLM NameNeural Chat 7B V3.1 Int4 Inc
Repository 🤗https://huggingface.co/Intel/neural-chat-7b-v3-1-int4-inc 
Model Size7b
Required VRAM4.2 GB
Updated2025-01-14
MaintainerIntel
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
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 Intel/neural-chat-7b-v3-1-int4-inc.

Rank the Neural Chat 7B V3.1 Int4 Inc 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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