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Falcon 40B Megacode2 by andreaskoepf

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  Autotrain compatible   Endpoints compatible   Falcon   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/andreaskoepf/falcon-40b-megacode2 

Falcon 40B Megacode2 Benchmarks

LLME Score: 0.11195
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Falcon 40B Megacode2 Parameters and Internals

LLM NameFalcon 40B Megacode2
Repository 🤗https://huggingface.co/andreaskoepf/falcon-40b-megacode2 
Model Size40b
Required VRAM82.5 GB
Updated2025-06-09
Maintainerandreaskoepf
Model Typefalcon
Model Files  9.5 GB: 1-of-9   9.5 GB: 2-of-9   9.5 GB: 3-of-9   9.5 GB: 4-of-9   9.5 GB: 5-of-9   9.5 GB: 6-of-9   9.5 GB: 7-of-9   9.5 GB: 8-of-9   6.5 GB: 9-of-9
Model ArchitectureFalconForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.31.0
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65152
Torch Data Typebfloat16
Falcon 40B Megacode2 (andreaskoepf/falcon-40b-megacode2)

Best Alternatives to Falcon 40B Megacode2

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Context / RAM
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Tiny Random Falcon 40B2K / 0 GB923980
... Falcon 40B Instruct 4 Bit Bnb2K / 23.9 GB190
Openbuddy Falcon 40B V16.1 4K2K / 82.6 GB1921
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Falcon 40B Instruct0K / 83.6 GB614441175
ReluFalcon 40B0K / 167.1 GB164
Tiny Random Falcon 40B0K / 0.2 GB14900
...lcon 40B Ft Alpaca Dolly Dutch0K / 82.5 GB274
...slessMegaCoder Falcon 40B Mini0K / 82.5 GB1522
Falcon 40B Megacode2 Oasst0K / 82.5 GB266
Note: green Score (e.g. "73.2") means that the model is better than andreaskoepf/falcon-40b-megacode2.

Rank the Falcon 40B Megacode2 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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