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Falcon 7B Instruct by jialii

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Falcon 7B Instruct is an open-source language model by jialii. Features: 7b LLM, VRAM: 14.4GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.08.

  Arxiv:1911.02150   Arxiv:2005.14165   Arxiv:2104.09864   Arxiv:2205.14135   Arxiv:2306.01116   Coreml   Custom code Dataset:tiiuae/falcon-refinedw...   En   Endpoints compatible   Instruct   Pytorch   Refinedwebmodel   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/jialii/falcon-7b-instruct 

Falcon 7B Instruct Benchmarks

LLME Score: 0.07827
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 (jialii/falcon-7b-instruct)
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Falcon 7B Instruct Parameters and Internals

Model Type 
Causal decoder-only
Use Cases 
Areas:
Research, Chat, Instruction
Limitations:
Mostly trained on English data, may not generalize well to other languages., May carry stereotypes and biases from web data.
Considerations:
Develop guardrails and take precautions for production use.
Additional Notes 
Falcon-7B-Instruct is optimized for inference and not ideal for further finetuning.
Supported Languages 
English (High), French (Medium)
Training Details 
Data Sources:
Bai ze, GPT4All, GPTeacher, RefinedWeb-English
Data Volume:
250M tokens mixture
Methodology:
Causal language modeling task
Context Length:
2048
Hardware Used:
AWS SageMaker, 32 A100 40GB GPUs in P4d instances
Model Architecture:
Causal decoder-only with rotary positional embeddings, multiquery and FlashAttention attention, parallel attention/MLP with a single layer norm.
Input Output 
Accepted Modalities:
text
LLM NameFalcon 7B Instruct
Repository 🤗https://huggingface.co/jialii/falcon-7b-instruct 
Model Size7b
Required VRAM14.4 GB
Updated2026-05-02
Maintainerjialii
Model TypeRefinedWebModel
Instruction-BasedYes
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureRWForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.27.4
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 jialii/falcon-7b-instruct.

Rank the Falcon 7B Instruct 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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