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Falcon 7B Instruct GGML by TheBloke

 »  All LLMs  »  TheBloke  »  Falcon 7B Instruct GGML   URL Share it on

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  Arxiv:1911.02150   Arxiv:2005.14165   Arxiv:2104.09864   Arxiv:2205.14135   Arxiv:2306.01116 Dataset:tiiuae/falcon-refinedw...   En   Falcon   Ggml   Instruct   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/Falcon-7B-Instruct-GGML 

Falcon 7B Instruct GGML Benchmarks

LLME Score: 0.09652
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 GGML (TheBloke/Falcon-7B-Instruct-GGML)
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Falcon 7B Instruct GGML Parameters and Internals

Model Type 
Causal decoder-only
Use Cases 
Areas:
Chat, Instruction following
Primary Use Cases:
Instruct/chat modeling
Limitations:
Does not generalize well to languages other than English and French
Additional Notes 
Falcon-7B-Instruct is a 7B parameters model finetuned on instruct datasets.
Supported Languages 
en (high proficiency), fr (high proficiency)
Training Details 
Data Sources:
Bai ze, GPT4All, GPTeacher, RefinedWeb-English
Data Volume:
250M tokens
Methodology:
Finetuning
Context Length:
2048
Hardware Used:
32 A100 40GB GPUs
Model Architecture:
Causal decoder-only, using rotary embeddings, multiquery and FlashAttention.
Responsible Ai Considerations 
Mitigation Strategies:
Using guardrails and precautions for production use.
LLM NameFalcon 7B Instruct GGML
Repository 🤗https://huggingface.co/TheBloke/Falcon-7B-Instruct-GGML 
Base Model(s)  ...on 7B Instruct Finance Advisor   themanas021/falcon-7b-instruct-Finance_Advisor
Model Size7b
Required VRAM4.1 GB
Updated2025-08-19
MaintainerTheBloke
Model Typefalcon
Instruction-BasedYes
Model Files  4.1 GB   4.5 GB   5.0 GB   5.4 GB   7.7 GB
Supported Languagesen
GGML QuantizationYes
Quantization Typeggml
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Falcon-7B-Instruct-GGML.

Rank the Falcon 7B Instruct GGML 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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Release v20241124
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