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Pretrainedllama8b11kresearchpapers by CompassioninMachineLearning

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Pretrainedllama8b11kresearchpapers is an open-source language model by CompassioninMachineLearning. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.19.

  En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/CompassioninMachineLearning/pretrainedllama8b11kresearchpapers 

Pretrainedllama8b11kresearchpapers Benchmarks

LLME Score: 0.1935
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pretrainedllama8b11kresearchpapers (CompassioninMachineLearning/pretrainedllama8b11kresearchpapers)
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Pretrainedllama8b11kresearchpapers Parameters and Internals

LLM NamePretrainedllama8b11kresearchpapers
Repository 🤗https://huggingface.co/CompassioninMachineLearning/pretrainedllama8b11kresearchpapers 
Base Model(s)  unsloth/llama-3.1-8b   unsloth/llama-3.1-8b
Model Size8b
Required VRAM16.1 GB
Updated2026-05-11
MaintainerCompassioninMachineLearning
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.51.3
Tokenizer ClassPreTrainedTokenizer
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than CompassioninMachineLearning/pretrainedllama8b11kresearchpapers.

Rank the Pretrainedllama8b11kresearchpapers 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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