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Episodic Lora Grpo2b Merged by kenny2021

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Episodic Lora Grpo2b Merged is an open-source language model by kenny2021. Features: 270m LLM, VRAM: 0.5GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.27.

  4bit Base model:finetune:kenny2021/... Base model:kenny2021/episodic-...   Conversational   En   Endpoints compatible   Gemma3 text   Lora   Quantized   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/kenny2021/episodic-lora-grpo2b-merged 

Episodic Lora Grpo2b Merged Benchmarks

LLME Score: 0.27153
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Episodic Lora Grpo2b Merged (kenny2021/episodic-lora-grpo2b-merged)
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Episodic Lora Grpo2b Merged Parameters and Internals

LLM NameEpisodic Lora Grpo2b Merged
Repository 🤗https://huggingface.co/kenny2021/episodic-lora-grpo2b-merged 
Model Nameunsloth/functiongemma-270m-it-unsloth-bnb-4bit
Base Model(s)  Episodic Lora Grpo2 Merged   kenny2021/episodic-lora-grpo2-merged
Model Size270m
Required VRAM0.5 GB
Updated2026-05-08
Maintainerkenny2021
Model Typegemma3_text
Model Files  0.5 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureGemma3ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size262144
LoRA ModelYes
Torch Data Typebfloat16

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Gemma 3 270M It 8bit32K / 0.5 GB20352
Functiongemma 270M It 4bit32K / 0.2 GB902

Rank the Episodic Lora Grpo2b Merged 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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