Ahxt Llama2 Xs 460M Experimental Ptbr Instruct by cnmoro

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  Autotrain compatible   En   Endpoints compatible   Instruct   Llama   Pt   Pytorch   Region:us

Ahxt Llama2 Xs 460M Experimental Ptbr Instruct Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ahxt Llama2 Xs 460M Experimental Ptbr Instruct (cnmoro/ahxt_llama2_xs_460M_experimental_ptbr_instruct)

Ahxt Llama2 Xs 460M Experimental Ptbr Instruct Parameters and Internals

Model Type 
text generation
Additional Notes 
Experimental model
Supported Languages 
en (high), pt (high)
Training Details 
Data Sources:
PTBR Instruct dataset
Methodology:
Fine-tuning
LLM NameAhxt Llama2 Xs 460M Experimental Ptbr Instruct
Repository ๐Ÿค—https://huggingface.co/cnmoro/ahxt_llama2_xs_460M_experimental_ptbr_instruct 
Model Size460m
Required VRAM0.9 GB
Updated2024-12-22
Maintainercnmoro
Model Typellama
Instruction-BasedYes
Model Files  0.9 GB
Supported Languagesen pt
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.35.2
Tokenizer ClassGPT2Tokenizer
Padding Token"
Vocabulary Size50304
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than cnmoro/ahxt_llama2_xs_460M_experimental_ptbr_instruct.

Rank the Ahxt Llama2 Xs 460M Experimental Ptbr Instruct 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 v20241217