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MobileLLaMA 1.4B Base GGUF by andrijdavid

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  Arxiv:2312.16886   Autotrain compatible Dataset:togethercomputer/redpa...   Endpoints compatible   Gguf   Llama   Q2   Quantized   Region:us

MobileLLaMA 1.4B Base GGUF Benchmarks

ARC: 34.39 vs 96.7 (so35)-64.4%
HellaSwag: 56.29 vs 95.3 (gpt4)-40.9%
MMLU: 24.79 vs 88.3 (so35)-71.9%
TruthfulQA: 34.81 vs 59 (gpt4)-41%
WinoGrande: 59.43 vs 87.5 (gpt4)-32.1%
GSM8K: 1.14 vs 96.4 (so35)-98.8%
LLME Score: 0.23455
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MobileLLaMA 1.4B Base GGUF Parameters and Internals

LLM NameMobileLLaMA 1.4B Base GGUF
Repository 🤗https://huggingface.co/andrijdavid/MobileLLaMA-1.4B-Base-GGUF 
Base Model(s)  mtgv/MobileLLaMA-1.4B-Base   mtgv/MobileLLaMA-1.4B-Base
Model Size1.4b
Required VRAM0.6 GB
Updated2024-09-07
Maintainerandrijdavid
Model Typellama
Model Files  0.6 GB   0.7 GB   0.7 GB   0.7 GB   0.6 GB   0.8 GB   0.9 GB   0.8 GB   0.8 GB   0.8 GB   0.9 GB   1.0 GB   1.0 GB   1.0 GB   0.9 GB   1.1 GB   1.4 GB   2.7 GB
GGUF QuantizationYes
Quantization Typegguf|q2|q4_k|q5_k
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.33.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
MobileLLaMA 1.4B Base GGUF (andrijdavid/MobileLLaMA-1.4B-Base-GGUF)

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Note: green Score (e.g. "73.2") means that the model is better than andrijdavid/MobileLLaMA-1.4B-Base-GGUF.

Rank the MobileLLaMA 1.4B Base GGUF 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  
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Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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