Gemma 7B Uawiki 1B by PolyAgent

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Gemma 7B Uawiki 1B is an open-source language model by PolyAgent. Features: 7b LLM, VRAM: 17.1GB, Context: 8K, Quantized, LLM Explorer Score: 0.14.

  Autotrain compatible   Endpoints compatible   F16   Gemma   Ggml   Gguf   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Gemma 7B Uawiki 1B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Gemma 7B Uawiki 1B Parameters and Internals

LLM NameGemma 7B Uawiki 1B
Repository 🤗https://huggingface.co/PolyAgent/gemma-7b-uawiki_1B 
Model Size7b
Required VRAM17.1 GB
Updated2024-10-24
MaintainerPolyAgent
Model Typegemma
Model Files  17.1 GB   5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.1 GB: 4-of-4
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typeggml|gguf
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

Best Alternatives to Gemma 7B Uawiki 1B

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Context / RAM
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Gemma 1.1 7B It GGUF8K / 5.3 GB1281
Train068K / 9.1 GB210
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Note: green Score (e.g. "73.2") means that the model is better than PolyAgent/gemma-7b-uawiki_1B.

Rank the Gemma 7B Uawiki 1B 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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Release v20260328a