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Gemma Help Tiny Sft by burtenshaw

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Gemma Help Tiny Sft is an open-source language model by burtenshaw. Features: 2b LLM, VRAM: 5.1GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.15.

  4bit Base model:quantized:unsloth/g... Base model:unsloth/gemma-2b-bn...   En   Endpoints compatible   Gemma   Gguf   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/burtenshaw/gemma-help-tiny-sft 

Gemma Help Tiny Sft Benchmarks

LLME Score: 0.14905
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma Help Tiny Sft (burtenshaw/gemma-help-tiny-sft)
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Gemma Help Tiny Sft Parameters and Internals

LLM NameGemma Help Tiny Sft
Repository 🤗https://huggingface.co/burtenshaw/gemma-help-tiny-sft 
Base Model(s)  Gemma 2B Bnb 4bit   unsloth/gemma-2b-bnb-4bit
Model Size2b
Required VRAM5.1 GB
Updated2026-03-12
Maintainerburtenshaw
Model Typegemma
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2   2.7 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.44.0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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...mma 2b Sauerkraut Gguf Chunked8K / 0.1 GB750
Note: green Score (e.g. "73.2") means that the model is better than burtenshaw/gemma-help-tiny-sft.

Rank the Gemma Help Tiny Sft 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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