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Falcon 40B Instruct GGML by TheBloke

 »  All LLMs  »  TheBloke  »  Falcon 40B Instruct GGML   URL Share it on

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  Arxiv:1911.02150   Arxiv:2005.14165   Arxiv:2104.09864   Arxiv:2205.14135   Arxiv:2304.01196   Arxiv:2306.01116 Dataset:tiiuae/falcon-refinedw...   En   Falcon   Ggml   Instruct   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/falcon-40b-instruct-GGML 

Falcon 40B Instruct GGML Benchmarks

LLME Score: 0.09582
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Falcon 40B Instruct GGML (TheBloke/falcon-40b-instruct-GGML)
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Falcon 40B Instruct GGML Parameters and Internals

Model Type 
Causal decoder-only, Instruct model
Use Cases 
Areas:
Research, Commercial applications
Applications:
Text generation, Chatbot systems
Primary Use Cases:
Ready-to-use chat model, Instruction generation
Limitations:
Mostly trained on English data, May carry stereotypes and biases from web data
Considerations:
Develop guardrails for production use.
Additional Notes 
This is a specialized instruct model. For fine-tuning, consider starting from the base Falcon-40B model.
Supported Languages 
English (High), French (Moderate)
Training Details 
Data Sources:
Baize, RefinedWeb
Data Volume:
150M tokens
Methodology:
Finetuned on chat dataset with 5% RefinedWeb data
Context Length:
2048
Hardware Used:
64 A100 40GB GPUs in P4d instances
Model Architecture:
Causal decoder-only with optimized architecture
Input Output 
Input Format:
Natural language prompts
Accepted Modalities:
text
Output Format:
Textual responses
Performance Tips:
Ensure sufficient VRAM and optimize inference settings accordingly.
Release Notes 
Notes:
Includes various quantized model files for different inference needs.
LLM NameFalcon 40B Instruct GGML
Repository 🤗https://huggingface.co/TheBloke/falcon-40b-instruct-GGML 
Base Model(s)  Medfalcon 40B Lora   nmitchko/medfalcon-40b-lora
Model Size40b
Required VRAM13.7 GB
Updated2025-08-21
MaintainerTheBloke
Model Typefalcon
Instruction-BasedYes
Model Files  13.7 GB   18.0 GB   23.5 GB   26.2 GB   23.5 GB   28.8 GB   31.4 GB   28.8 GB   34.3 GB   44.5 GB
Supported Languagesen
GGML QuantizationYes
Quantization Typeggml
Model ArchitectureAutoModel
Licenseapache-2.0

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Rank the Falcon 40B Instruct GGML 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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