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VolareQuantized by MoxoffSpA

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VolareQuantized is an open-source language model by MoxoffSpA. Features: 7b LLM, VRAM: 5.3GB, Context: 8K, License: mit, Quantized, LLM Explorer Score: 0.13.

  Chatml   En   Endpoints compatible   Gemma   Ggml   Gguf   It   Q4   Quantized   Region:us   Sft
Model Card on HF 🤗: https://huggingface.co/MoxoffSrL/VolareQuantized 

VolareQuantized Benchmarks

LLME Score: 0.12554
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
VolareQuantized (MoxoffSrL/VolareQuantized)
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VolareQuantized Parameters and Internals

LLM NameVolareQuantized
Repository 🤗https://huggingface.co/MoxoffSrL/VolareQuantized 
Model Size7b
Required VRAM5.3 GB
Updated2026-05-22
MaintainerMoxoffSpA
Model Typegemma
Model Files  5.3 GB   9.1 GB
Supported Languagesit en
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typegguf|ggml|q4|q4_k
Model ArchitectureGemmaForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.38.0
Vocabulary Size256000
Torch Data Typefloat16

Best Alternatives to VolareQuantized

Best Alternatives
Context / RAM
Downloads
Likes
CNCF8K / 5.3 GB470
Gemma 7B Uawiki 1B8K / 17.1 GB240
DeepCNCFQuantized8K / 5.3 GB91
VolareQuantized8K / 5.3 GB2261
Gemma 7B It8K / 17.1 GB282301246
Gemma 7B8K / 17.1 GB2120463316
Gemma 1.1 7B It GGUF8K / 5.3 GB811
Train068K / 9.1 GB300
Llama2 Kazakh 7B GGUF8K / 4.1 GB120
Gemma 7B8K / 17.1 GB610
Note: green Score (e.g. "73.2") means that the model is better than MoxoffSrL/VolareQuantized.

Rank the VolareQuantized 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
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