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Llm4decompile 6.7B V2 by LLM4Binary

 »  All LLMs  »  LLM4Binary  »  Llm4decompile 6.7B V2   URL Share it on

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Llm4decompile 6.7B V2 is an open-source language model by LLM4Binary. Features: 6.7b LLM, VRAM: 13.5GB, Context: 8K, License: mit, Code Generating, LLM Explorer Score: 0.17.

  Binary   Codegen   Conversational   Decompile   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LLM4Binary/llm4decompile-6.7b-v2 

Llm4decompile 6.7B V2 Benchmarks

LLME Score: 0.17318
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llm4decompile 6.7B V2 (LLM4Binary/llm4decompile-6.7b-v2)
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Llm4decompile 6.7B 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 6.7B V2
Repository 🤗https://huggingface.co/LLM4Binary/llm4decompile-6.7b-v2 
Model Size6.7b
Required VRAM13.5 GB
Updated2026-04-01
MaintainerLLM4Binary
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size32256
Torch Data Typebfloat16

Best Alternatives to Llm4decompile 6.7B V2

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Deepseek Coder 6.7B Base16K / 13.5 GB57662122
Speechless Coder Ds 6.7B16K / 13.5 GB11107
...s Coder6.7b Reflct Adamw Iter116K / 13.5 GB4750
...Coder6.7b Reflct Rmsprop Iter116K / 13.5 GB950
...Coder6.7b Reflct Rmsprop Iter116K / 13.5 GB1100
...r6.7b Pos Reflct Rmsprop Iter116K / 13.5 GB870
...ir4 Ds Coder6.7b Rmsprop Iter116K / 13.5 GB430
...r6.7b Pos Reflct Rmsprop Iter116K / 13.5 GB900
...Coder6.7b Reflct Rmsprop Iter116K / 13.5 GB620
Ds Coder6.7b Rmsprop Iter116K / 13.5 GB670
Note: green Score (e.g. "73.2") means that the model is better than LLM4Binary/llm4decompile-6.7b-v2.

Rank the Llm4decompile 6.7B 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  
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Code Generation  
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