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

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").
M7 Alpaca 270 1bit 5 (liminerity/m7-alpaca-270-1bit-5)

M7 Alpaca 270 1bit 5 Parameters and Internals

Model Type 
text-generation-inference, transformers
Supported Languages 
en (proficient)
Training Details 
Methodology:
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameM7 Alpaca 270 1bit 5
Repository ๐Ÿค—https://huggingface.co/liminerity/m7-alpaca-270-1bit-5 
Base Model(s)  M7 Alpaca 70M 4   liminerity/m7-alpaca-70m-4
Model Size70m
Required VRAM0.5 GB
Updated2025-02-22
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

Quantized Models of the M7 Alpaca 270 1bit 5

Model
Likes
Downloads
VRAM
Orpa M7 Alpaca 270 1bit 501210 GB

Best Alternatives to M7 Alpaca 270 1bit 5

Best Alternatives
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Teslav032K / 0.2 GB1660
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Bitnet Mistral.0.2 V20.3K / 0.1 GB1270
Note: green Score (e.g. "73.2") means that the model is better than liminerity/m7-alpaca-270-1bit-5.

Rank the 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  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227