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Sabia 7B by maritaca-ai

 »  All LLMs  »  maritaca-ai  »  Sabia 7B   URL Share it on

  1305   
  Arxiv:2304.07880   Autotrain compatible   Endpoints compatible   Llama   Model-index   Pt   Region:us   Safetensors   Sharded   Tensorflow

Sabia 7B Benchmarks

MMLU Pro: 5.39
MUSR: 10.61
BBH: 5.04
IFEval: 28.92 vs 88 (so35)-67.1%
MATH Lvl 5: 0.38
LLME Score: 0.21759
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Sabia 7B Parameters and Internals

LLM NameSabia 7B
Repository 🤗https://huggingface.co/maritaca-ai/sabia-7b 
Model Size7b
Required VRAM13.5 GB
Updated2024-10-18
Maintainermaritaca-ai
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Supported Languagespt
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
Sabia 7B (maritaca-ai/sabia-7b)

Quantized Models of the Sabia 7B

Model
Likes
Downloads
VRAM
Sabia 7B GGUF53092 GB
Sabia 7B GPTQ283 GB
Sabia 7B AWQ183 GB

Best Alternatives to Sabia 7B

Best Alternatives
Context / RAM
Downloads
Likes
...1M 1000000ctx AEZAKMI 3 1 17021024K / 13.5 GB571
... Qwen2.5llamaify 7B V23.1 200K195K / 15.2 GB6840
Yarn Llama 2 7B 128K128K / 13.5 GB160938
LLaMA 7B PoSE YaRN 128K128K / 13.5 GB13
LLaMA 7B PoSE Linear 96K96K / 27 GB62
LLaMA 7B PoSE YaRN 96K96K / 13.5 GB11
Chat Llama2 7B 80K80K / 13.8 GB120
Llama2 7B 80K80K / 13.8 GB60
Lloma Step40064K / 13.5 GB570
Lloma Step20064K / 13.5 GB600
Note: green Score (e.g. "73.2") means that the model is better than maritaca-ai/sabia-7b.

Rank the Sabia 7B 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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Release v2024072803
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