Bitnet Mistral Alpaca 70M by liminerity

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  Autotrain compatible   Conversational   En   Endpoints compatible   Mistral   Pytorch   Region:us   Trl   Unsloth

Bitnet Mistral Alpaca 70M Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bitnet Mistral Alpaca 70M (liminerity/bitnet-mistral-alpaca-70m)

Bitnet Mistral Alpaca 70M Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, trl
Training Details 
Methodology:
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameBitnet Mistral Alpaca 70M
Repository ๐Ÿค—https://huggingface.co/liminerity/bitnet-mistral-alpaca-70m 
Base Model(s)  liminerity/Bitnet-Mistral.0.2-70m   liminerity/Bitnet-Mistral.0.2-70m
Model Size70m
Required VRAM0.2 GB
Updated2025-02-22
Maintainerliminerity
Model Typemistral
Model Files  0.2 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length3600
Model Max Length3600
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than liminerity/bitnet-mistral-alpaca-70m.

Rank the Bitnet Mistral Alpaca 70M 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227