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Matter 0.1 Slim 7B A by 0-hero

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  Autotrain compatible   Conversational Dataset:0-hero/matter-0.1-slim...   En   Endpoints compatible   Mistral   Pytorch   Region:us   Safetensors

Matter 0.1 Slim 7B A Benchmarks

ARC: 60.49-37.2%
HellaSwag: 81.33-14.7%
MMLU: 60.68-29.8%
TruthfulQA: 41.79-29.2%
WinoGrande: 77.35-11.6%
GSM8K: 38.13-58.6%
nn.n% — How the model compares to the GPT-4.

Matter 0.1 Slim 7B A Parameters and Internals

LLM NameMatter 0.1 Slim 7B A
RepositoryOpen on 🤗 
Model Size7b
Required VRAM14.5 GB
Updated2024-07-26
Maintainer0-hero
Model Typemistral
Model Files  14.5 GB   14.5 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32006
Torch Data Typebfloat16
Matter 0.1 Slim 7B A (0-hero/Matter-0.1-Slim-7B-A)

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... Summarize 64K QLoRANET Merged0.2128K / 4.1 GB90
LuminRP 7B 128K V0.50.2128K / 14.5 GB101
LuminRP 7B 128K V0.40.2128K / 14.4 GB121
Note: green Score (e.g. "73.2") means that the model is better than 0-hero/Matter-0.1-Slim-7B-A.

Rank the Matter 0.1 Slim 7B A 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 v2024072501
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