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Llm4decompile 22B V2 by LLM4Binary

 »  All LLMs  »  LLM4Binary  »  Llm4decompile 22B V2   URL Share it on

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  Autotrain compatible   Binary   Decompile   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LLM4Binary/llm4decompile-22b-v2 

Llm4decompile 22B V2 Benchmarks

LLME Score: 0.21176
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llm4decompile 22B V2 (LLM4Binary/llm4decompile-22b-v2)

Llm4decompile 22B V2 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
decompilation
Applications:
binary analysis
Primary Use Cases:
decompiling x86 assembly to C
Training Details 
Data Volume:
2B tokens
Context Length:
4096
Input Output 
Input Format:
x86 assembly code
Accepted Modalities:
text
Output Format:
C language code
LLM NameLlm4decompile 22B V2
Repository 🤗https://huggingface.co/LLM4Binary/llm4decompile-22b-v2 
Model Size22b
Required VRAM44.7 GB
Updated2025-02-22
MaintainerLLM4Binary
Model Typemistral
Model Files  4.9 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   4.9 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   4.9 GB: 7-of-9   5.0 GB: 8-of-9   5.0 GB: 9-of-9
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LLM4Binary/llm4decompile-22b-v2.

Rank the Llm4decompile 22B V2 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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Release v20241227
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