Magistrate 3.2 3B Base by macadeliccc

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  Arxiv:2408.10914   Autotrain compatible   Axolotl Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Dataset:macadeliccc/us-federal... Dataset:macadeliccc/us-supreme...   En   Endpoints compatible   Generated from trainer   Llama   Llama-3   Pytorch   Region:us   Safetensors   Sharded   Spectrum   Tensorflow

Magistrate 3.2 3B Base Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Magistrate 3.2 3B Base (macadeliccc/magistrate-3.2-3b-base)

Magistrate 3.2 3B Base Parameters and Internals

Model Type 
text-generation
Training Details 
Data Sources:
US Supreme Court verdicts, federal regulations, laws and treaties, CLL
Data Volume:
~250M tokens
Methodology:
Spectrum top 35% fine tune.
Context Length:
8192
Hardware Used:
multi-GPU, 2 devices
LLM NameMagistrate 3.2 3B Base
Repository ๐Ÿค—https://huggingface.co/macadeliccc/magistrate-3.2-3b-base 
Base Model(s)  meta-llama/Llama-3.2-3B   meta-llama/Llama-3.2-3B
Model Size3b
Required VRAM6.5 GB
Updated2025-02-09
Maintainermacadeliccc
Model Typellama
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2   0.1 GB   0.0 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3.2
Context Length131072
Model Max Length131072
Transformers Version4.45.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than macadeliccc/magistrate-3.2-3b-base.

Rank the Magistrate 3.2 3B Base 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227