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AutogenJune2000 by Jass07

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  Arxiv:1910.09700   Autotrain compatible   Endpoints compatible   Llama   Lora   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Jass07/autogenJune2000 

AutogenJune2000 Benchmarks

LLME Score: 0.16452
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AutogenJune2000 (Jass07/autogenJune2000)
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AutogenJune2000 Parameters and Internals

LLM NameAutogenJune2000
Repository 🤗https://huggingface.co/Jass07/autogenJune2000 
Model Size8b
Required VRAM33.8 GB
Updated2025-07-31
MaintainerJass07
Model Typellama
Model Files  0.1 GB   5.0 GB: 1-of-4   1.1 GB: 1-of-17   4.9 GB: 2-of-4   1.0 GB: 2-of-17   4.9 GB: 3-of-4   1.0 GB: 3-of-17   2.6 GB: 4-of-4   1.0 GB: 4-of-17   1.0 GB: 5-of-17   1.0 GB: 6-of-17   1.0 GB: 7-of-17   1.0 GB: 8-of-17   1.0 GB: 9-of-17   1.0 GB: 10-of-17   1.0 GB: 11-of-17   1.0 GB: 12-of-17   1.0 GB: 13-of-17   1.0 GB: 14-of-17   1.0 GB: 15-of-17   1.1 GB: 16-of-17   0.2 GB: 17-of-17
Model ArchitectureAutoModelForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.42.0.dev0
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha16
LoRA Dropout0.1
R Param64
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Jass07/autogenJune2000.

Rank the AutogenJune2000 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
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