Orpa M7 Alpaca 270 1bit 5 by liminerity

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  1bit   Autotrain compatible Base model:finetune:liminerity... Base model:liminerity/m7-alpac...   Conversational   En   Endpoints compatible   Mistral   Quantized   Region:us   Safetensors   Trl   Unsloth

Orpa M7 Alpaca 270 1bit 5 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Orpa M7 Alpaca 270 1bit 5 Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en ()
LLM NameOrpa M7 Alpaca 270 1bit 5
Repository ๐Ÿค—https://huggingface.co/liminerity/orpa_m7-alpaca-270-1bit-5 
Base Model(s)  M7 Alpaca 270 1bit 5   liminerity/m7-alpaca-270-1bit-5
Model Size269.5m
Required VRAM0.5 GB
Updated2025-06-09
Maintainerliminerity
Model Typemistral
Model Files  0.5 GB
Supported Languagesen
Quantization Type1bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
Orpa M7 Alpaca 270 1bit 5 (liminerity/orpa_m7-alpaca-270-1bit-5)

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Note: green Score (e.g. "73.2") means that the model is better than liminerity/orpa_m7-alpaca-270-1bit-5.

Rank the Orpa M7 Alpaca 270 1bit 5 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124