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Falcon 7B Instruct 8bit by vivekraina

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Falcon 7B Instruct 8bit is an open-source language model by vivekraina. Features: 7b LLM, VRAM: 7.2GB, Quantized, Instruction-Based, LLM Explorer Score: 0.08.

  8-bit   8bit   Custom code   Endpoints compatible   Instruct   Pytorch   Quantized   Refinedwebmodel   Region:us
Model Card on HF 🤗: https://huggingface.co/vivekraina/falcon-7b-Instruct-8bit 

Falcon 7B Instruct 8bit Benchmarks

LLME Score: 0.0782
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Falcon 7B Instruct 8bit (vivekraina/falcon-7b-Instruct-8bit)
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Falcon 7B Instruct 8bit Parameters and Internals

Model Type 
causal, decoder-only
Training Details 
Data Sources:
RefinedWeb enhanced with curated corpora
Data Volume:
1,500B tokens
LLM NameFalcon 7B Instruct 8bit
Repository 🤗https://huggingface.co/vivekraina/falcon-7b-Instruct-8bit 
Base Model(s)  ...on 7B Instruct Finance Advisor   themanas021/falcon-7b-instruct-Finance_Advisor
Model Size7b
Required VRAM7.2 GB
Updated2026-05-15
Maintainervivekraina
Model TypeRefinedWebModel
Instruction-BasedYes
Model Files  7.2 GB
Quantization Type8bit
Model ArchitectureRWForCausalLM
Transformers Version4.31.0.dev0
Is Biased0
Vocabulary Size65024
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than vivekraina/falcon-7b-Instruct-8bit.

Rank the Falcon 7B Instruct 8bit 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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