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Ava 1.0 12B by Spestly

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  4bit   Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-n...   Dataset:nvidia/helpsteer2   Endpoints compatible   Instruct   Mistral   Pytorch   Quantized   Region:us   Sharded   Unsloth
Model Card on HF 🤗: https://huggingface.co/Spestly/Ava-1.0-12B 

Ava 1.0 12B Benchmarks

LLME Score: 0.23705
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ava 1.0 12B (Spestly/Ava-1.0-12B)

Ava 1.0 12B Parameters and Internals

LLM NameAva 1.0 12B
Repository 🤗https://huggingface.co/Spestly/Ava-1.0-12B 
Base Model(s)  Mistral Nemo Instruct 2407   mistralai/Mistral-Nemo-Instruct-2407
Model Size12b
Required VRAM24.5 GB
Updated2025-01-25
MaintainerSpestly
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.46.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Spestly/Ava-1.0-12B.

Rank the Ava 1.0 12B 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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