M7 Alpaca 70M 4 by liminerity

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  Autotrain compatible Base model:finetune:gate369/l6... Base model:gate369/l6bitney-32...   Conversational   En   Endpoints compatible   Mistral   Pytorch   Region:us   Safetensors   Trl   Unsloth

M7 Alpaca 70M 4 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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M7 Alpaca 70M 4 Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, trl
Additional Notes 
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
Training Details 
Methodology:
Finetuned
LLM NameM7 Alpaca 70M 4
Repository ๐Ÿค—https://huggingface.co/liminerity/m7-alpaca-70m-4 
Base Model(s)  L6bitney 32layer Slerp   gate369/l6bitney-32layer-slerp
Model Size70m
Required VRAM0.5 GB
Updated2025-06-09
Maintainerliminerity
Model Typemistral
Model Files  0.5 GB   0.5 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
M7 Alpaca 70M 4 (liminerity/m7-alpaca-70m-4)

Quantized Models of the M7 Alpaca 70M 4

Model
Likes
Downloads
VRAM
M7 Alpaca 270 1bit 5080 GB

Best Alternatives to M7 Alpaca 70M 4

Best Alternatives
Context / RAM
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Teslav032K / 0.2 GB160
Bitnet Mistral Alpaca 70M3K / 0.2 GB130
Bitnet Mistral.0.2 V20.3K / 0.1 GB440
M7 Alpaca 270 1bit 52K / 0.5 GB80
Note: green Score (e.g. "73.2") means that the model is better than liminerity/m7-alpaca-70m-4.

Rank the M7 Alpaca 70M 4 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 v20241124