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Fullseq Lora Merged by kenny2021

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Fullseq Lora Merged is an open-source language model by kenny2021. Features: 270m LLM, VRAM: 0.5GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.31.

Base model:finetune:unsloth/fu... Base model:unsloth/functiongem...   Conversational   En   Endpoints compatible   Gemma3 text   Lora   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/kenny2021/fullseq-lora-merged 

Fullseq Lora Merged Benchmarks

LLME Score: 0.3136
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Fullseq Lora Merged (kenny2021/fullseq-lora-merged)
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Fullseq Lora Merged Parameters and Internals

LLM NameFullseq Lora Merged
Repository 🤗https://huggingface.co/kenny2021/fullseq-lora-merged 
Model Nameunsloth/functiongemma-270m-it
Base Model(s)  Functiongemma 270M It   unsloth/functiongemma-270m-it
Model Size270m
Required VRAM0.5 GB
Updated2026-04-15
Maintainerkenny2021
Model Typegemma3_text
Model Files  0.5 GB
Supported Languagesen
Model ArchitectureGemma3ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size262144
LoRA ModelYes
Torch Data Typebfloat16

Best Alternatives to Fullseq Lora Merged

Best Alternatives
Context / RAM
Downloads
Likes
Functiongemma 270M It32K / 0.5 GB36641941
Gemma 3 270M32K / 0.5 GB932411013
Gemma 3 270M It32K / 0.5 GB110713569
Gemma 3 270M Sindhi32K / 0.6 GB68400
Episodic Lora3 Grpo2 Merged32K / 0.5 GB7280
Episodic Lora3 Grpo4 Merged32K / 0.5 GB5070
Functiongemma 270M It32K / 0.5 GB977512
Episodic Lora3 Grpo Merged32K / 0.5 GB4201
...270M It User Prompt Classifier32K / 0.5 GB4470
Gemma 3 270M It32K / 0.5 GB1953623
Note: green Score (e.g. "73.2") means that the model is better than kenny2021/fullseq-lora-merged.

Rank the Fullseq Lora Merged Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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