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Llama 3 2 1B Instruct Gender Bias Sft by schwasa5000

 »  All LLMs  »  schwasa5000  »  Llama 3 2 1B Instruct Gender Bias Sft   URL Share it on

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  Autotrain   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational Dataset:fhnw/gender-bias-instr...   Endpoints compatible   Instruct   Llama   Peft   Region:us   Safetensors   Tensorboard
Model Card on HF 🤗: https://huggingface.co/schwasa5000/Llama-3-2-1B-Instruct-gender-bias-sft 

Llama 3 2 1B Instruct Gender Bias Sft Benchmarks

LLME Score: 0.20855
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Llama 3 2 1B Instruct Gender Bias Sft Parameters and Internals

LLM NameLlama 3 2 1B Instruct Gender Bias Sft
Repository 🤗https://huggingface.co/schwasa5000/Llama-3-2-1B-Instruct-gender-bias-sft 
Base Model(s)  meta-llama/Llama-3.2-1B-Instruct   meta-llama/Llama-3.2-1B-Instruct
Model Size1b
Required VRAM2.5 GB
Updated2024-11-25
Maintainerschwasa5000
Model Typellama
Instruction-BasedYes
Model Files  2.5 GB   0.0 GB
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.46.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size128262
Torch Data Typefloat16
Llama 3 2 1B Instruct Gender Bias Sft (schwasa5000/Llama-3-2-1B-Instruct-gender-bias-sft)

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Llama 3.2 1B Instruct128K / 2.5 GB2307804960
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BunderMaxx 1010128K / 2.5 GB141
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Llama 3.2 1b OrcaSun V1128K / 3 GB380
Note: green Score (e.g. "73.2") means that the model is better than schwasa5000/Llama-3-2-1B-Instruct-gender-bias-sft.

Rank the Llama 3 2 1B Instruct Gender Bias Sft 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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Release v20241124
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