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F2C Translator by Bin12345

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F2C Translator is an open-source language model by Bin12345. Features: 33b LLM, VRAM: 67.3GB, Context: 16K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.13.

  Autotrain compatible   Code   Codegen   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Bin12345/F2C-Translator 

F2C Translator Benchmarks

LLME Score: 0.12768
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
F2C Translator (Bin12345/F2C-Translator)
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F2C Translator Parameters and Internals

Model Type 
text generation
Use Cases 
Primary Use Cases:
Translating Fortran code to C++ code
Training Details 
Methodology:
Fine-tuning
LLM NameF2C Translator
Repository 🤗https://huggingface.co/Bin12345/F2C-Translator 
Model Size33b
Required VRAM67.3 GB
Updated2025-10-20
MaintainerBin12345
Model Typellama
Model Files  1.8 GB: 1-of-36   2.0 GB: 2-of-36   1.7 GB: 3-of-36   1.9 GB: 4-of-36   1.9 GB: 5-of-36   2.0 GB: 6-of-36   1.7 GB: 7-of-36   1.9 GB: 8-of-36   1.9 GB: 9-of-36   2.0 GB: 10-of-36   1.7 GB: 11-of-36   1.9 GB: 12-of-36   1.9 GB: 13-of-36   2.0 GB: 14-of-36   1.7 GB: 15-of-36   1.9 GB: 16-of-36   1.9 GB: 17-of-36   2.0 GB: 18-of-36   1.7 GB: 19-of-36   1.9 GB: 20-of-36   1.9 GB: 21-of-36   2.0 GB: 22-of-36   1.7 GB: 23-of-36   1.9 GB: 24-of-36   1.9 GB: 25-of-36   2.0 GB: 26-of-36   1.7 GB: 27-of-36   1.9 GB: 28-of-36   1.9 GB: 29-of-36   2.0 GB: 30-of-36   1.7 GB: 31-of-36   1.9 GB: 32-of-36   1.9 GB: 33-of-36   2.0 GB: 34-of-36   1.7 GB: 35-of-36   1.8 GB: 36-of-36
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.39.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size32256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Bin12345/F2C-Translator.

Rank the F2C Translator 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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