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Falcon 7B Int4 Inc by Intel

 »  All LLMs  »  Intel  »  Falcon 7B Int4 Inc   URL Share it on

  7   
  Arxiv:2309.05516   4-bit   Autotrain compatible   Custom code   Endpoints compatible   Falcon   Gptq   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Intel/falcon-7b-int4-inc 

Falcon 7B Int4 Inc Benchmarks

LLME Score: 0.14144
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Falcon 7B Int4 Inc (Intel/falcon-7b-int4-inc)
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Falcon 7B Int4 Inc Parameters and Internals

Model Type 
causal language model
Use Cases 
Areas:
research, commercial applications
Primary Use Cases:
text generation
Limitations:
The model can produce factually incorrect, biased, or offensive outputs.
Considerations:
Users should be made aware of the risks, biases, and limitations of the model.
Additional Notes 
Developers should perform safety testing.
Responsible Ai Considerations 
Fairness:
The model can produce factually incorrect, biased, or offensive outputs.
Transparency:
Developers should perform safety testing before deployment.
Mitigation Strategies:
Before deploying any applications of the model, developers should perform safety testing.
Input Output 
Input Format:
PT tensor format
Accepted Modalities:
text
Output Format:
Generated text
LLM NameFalcon 7B Int4 Inc
Repository 🤗https://huggingface.co/Intel/falcon-7b-int4-inc 
Model Size7b
Required VRAM4.8 GB
Updated2025-10-20
MaintainerIntel
Model Typefalcon
Model Files  4.8 GB
Model ArchitectureFalconForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.40.2
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65024
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Intel/falcon-7b-int4-inc.

Rank the Falcon 7B Int4 Inc Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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
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