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Archgen 2B V1 by matthewdelorenzo

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  Autotrain compatible Base model:finetune:salesforce... Base model:salesforce/codegen-...   Codegen Dataset:matthewdelorenzo/archg...   Endpoints compatible   Generated from trainer   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/matthewdelorenzo/archgen-2b-v1 

Archgen 2B V1 Benchmarks

LLME Score: 0.1839
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Archgen 2B V1 (matthewdelorenzo/archgen-2b-v1)

Archgen 2B V1 Parameters and Internals

Model Type 
text-generation
Use Cases 
Considerations:
More information needed
Additional Notes 
Model description, intended uses, limitations, and training and evaluation data need more information.
Training Details 
Data Sources:
matthewdelorenzo/archgen
Methodology:
fine-tuning
LLM NameArchgen 2B V1
Repository 🤗https://huggingface.co/matthewdelorenzo/archgen-2b-v1 
Base Model(s)  Codegen 2B Nl   Salesforce/codegen-2B-nl
Model Size2b
Required VRAM5.6 GB
Updated2025-02-22
Maintainermatthewdelorenzo
Model Typecodegen
Model Files  5.0 GB: 1-of-2   0.6 GB: 2-of-2   0.0 GB
Generates CodeYes
Model ArchitectureCodeGenForCausalLM
Licensebsd-3-clause
Model Max Length2048
Transformers Version4.41.0.dev0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size51200
Torch Data Typefloat16
Activation Functiongelu_new

Best Alternatives to Archgen 2B V1

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Context / RAM
Downloads
Likes
...Python 18K Alpaca Full Dataset0K / 5.6 GB1070
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Nsql 2B0K / 11.3 GB879
Instruct Codegen 2B Multi0K / 11.3 GB131
Diff Codegen 2B V20K / 5.7 GB446
...en 2B Mono Instruct Py Revised0K / 11.3 GB21
Codegen 2B Mono Xlcost0K / 5.7 GB131
Codegen 2B Multi Xlcost0K / 5.7 GB1081
Fine Tuned Codegen 2B Verilog0K / 11.3 GB2577
Codegen 2B Multi0K / 5.7 GB277136
Note: green Score (e.g. "73.2") means that the model is better than matthewdelorenzo/archgen-2b-v1.

Rank the Archgen 2B V1 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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Release v20241227
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