Completion4B by jeiku

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  Autotrain compatible   Axolotl Base model:finetune:interviten... Base model:intervitensinc/llam...   Endpoints compatible   Generated from trainer   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/jeiku/completion4B 

Completion4B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Completion4B (jeiku/completion4B)
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Completion4B Parameters and Internals

Model Type 
AutoModelForCausalLM
Additional Notes 
This model is a fine-tuned version of IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml on an unspecified dataset. Results achieve a training loss of 2.5227.
Training Details 
Data Sources:
Mielikki/Erebus-87k
Context Length:
8192
Hardware Used:
multi-GPU
LLM NameCompletion4B
Repository ๐Ÿค—https://huggingface.co/jeiku/completion4B 
Base Model(s)  IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml   IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml
Model Size4b
Required VRAM9 GB
Updated2025-07-19
Maintainerjeiku
Model Typellama
Model Files  5.0 GB: 1-of-2   4.0 GB: 2-of-2   0.0 GB   0.0 GB
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.45.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than jeiku/completion4B.

Rank the Completion4B 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