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MobileLLaMA 1.4B Base GGUF by andrijdavid

 »  All LLMs  »  andrijdavid  »  MobileLLaMA 1.4B Base GGUF   URL Share it on

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  Arxiv:2312.16886   Autotrain compatible Dataset:togethercomputer/redpa...   Endpoints compatible   Gguf   Llama   Q2   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/andrijdavid/MobileLLaMA-1.4B-Base-GGUF 

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: 0.20406
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 (andrijdavid/MobileLLaMA-1.4B-Base-GGUF)

MobileLLaMA 1.4B Base GGUF Parameters and Internals

Model Type 
Transformer, text generation
Additional Notes 
Model files are available in the GGUF format, optimized for lightweight deployment and faster inference on mobile devices.
Training Details 
Data Sources:
RedPajama v1 dataset
Data Volume:
1.3T tokens
Model Architecture:
Transformer
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
Updated2025-02-22
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

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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

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241227
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