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FalconLite by AWS

 »  All LLMs  »  AWS  »  FalconLite   URL Share it on

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  4bit   Autotrain compatible   Custom code   Gptq   Quantized   Refinedweb   Region:us
Model Card on HF 🤗: https://huggingface.co/amazon/FalconLite 

FalconLite Benchmarks

LLME Score: 0.11548
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
FalconLite (amazon/FalconLite)
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FalconLite Parameters and Internals

Model Type 
Language Model
Use Cases 
Areas:
Research, Commercial applications
Applications:
Topic retrieval, Summarization, Question-answering
Primary Use Cases:
Long context processing
Limitations:
Line Retrieval is limited, g5.12x requires larger memory for heavy workloads
Considerations:
Perform independent assessment for quality control and compliance with local rules and regulations
Additional Notes 
Capable of processing 5x longer contexts than the original model. Can be deployed on a single AWS g5.12x instance.
Supported Languages 
English (Fluent)
Training Details 
Methodology:
4-bit GPTQ quantization and adapted dynamic NTK RotaryEmbedding
Context Length:
11000
Input Output 
Accepted Modalities:
Text
Performance Tips:
First-time inference requires a 'warm-up' period, subsequent inferences are faster.
LLM NameFalconLite
Repository 🤗https://huggingface.co/amazon/FalconLite 
Model Size40b
Required VRAM22.3 GB
Updated2025-08-21
MaintainerAWS
Model TypeRefinedWeb
Model Files  22.3 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureRWForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.29.2
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65040
Torch Data Typefloat16

Best Alternatives to FalconLite

Best Alternatives
Context / RAM
Downloads
Likes
Alfred 40B 1023 GPTQ0K / 22.5 GB143
FalconLite0K / 22.3 GB349170
Falcon 40B Instruct GPTQ0K / 22.5 GB323197
Falcon 40B Gptq0K / 23.3 GB242
...st1 En 2048 Falcon 40B V2 GPTQ0K / 22.5 GB248
Falcon 40B Gptq0K / 23.4 GB5113
Falcon 40B Instruct GPTQ0K / 22.5 GB141
...truct GPTQ Inference Endpoints0K / 22.5 GB152
Falcon 40B 8bit0K / 41.8 GB131
...dLM Uncensored Falcon 40B GPTQ0K / 22.5 GB3660
Note: green Score (e.g. "73.2") means that the model is better than amazon/FalconLite.

Rank the FalconLite 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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