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Llama 3.1 8B Instruct GRPO Alpaca Combine 100 No KL 42 by KevinG

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Llama 3.1 8B Instruct GRPO Alpaca Combine 100 No KL 42 is an open-source language model by KevinG. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.2.

  Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/KevinG/Llama-3.1-8B-Instruct-GRPO-alpaca-combine-100-no-KL-42 

Llama 3.1 8B Instruct GRPO Alpaca Combine 100 No KL 42 Benchmarks

LLME Score: 0.20295
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 8B Instruct GRPO Alpaca Combine 100 No KL 42 (KevinG/Llama-3.1-8B-Instruct-GRPO-alpaca-combine-100-no-KL-42)
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Llama 3.1 8B Instruct GRPO Alpaca Combine 100 No KL 42 Parameters and Internals

LLM NameLlama 3.1 8B Instruct GRPO Alpaca Combine 100 No KL 42
Repository 🤗https://huggingface.co/KevinG/Llama-3.1-8B-Instruct-GRPO-alpaca-combine-100-no-KL-42 
Model Size8b
Required VRAM16.1 GB
Updated2025-09-23
MaintainerKevinG
Model Typellama
Instruction-BasedYes
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   0.0 GB
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.50.0
Tokenizer ClassPreTrainedTokenizer
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than KevinG/Llama-3.1-8B-Instruct-GRPO-alpaca-combine-100-no-KL-42.

Rank the Llama 3.1 8B Instruct GRPO Alpaca Combine 100 No KL 42 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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