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TinyLlama Mistral by mrfakename

 »  All LLMs  »  mrfakename  »  TinyLlama Mistral   URL Share it on

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  Autotrain compatible   Endpoints compatible   Mistral   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mrfakename/TinyLlama-Mistral 

TinyLlama Mistral Benchmarks

ARC: 23.81 vs 96.7 (so35)-75.4%
HellaSwag: 32.69 vs 95.3 (gpt4)-65.7%
MMLU: 24.54 vs 88.3 (so35)-72.2%
TruthfulQA: 36.97 vs 59 (gpt4)-37.3%
WinoGrande: 53.59 vs 87.5 (gpt4)-38.8%
GSM8K: 0.76 vs 96.4 (so35)-99.2%
LLME Score: 0.22279
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TinyLlama Mistral (mrfakename/TinyLlama-Mistral)

TinyLlama Mistral Parameters and Internals

LLM NameTinyLlama Mistral
Repository 🤗https://huggingface.co/mrfakename/TinyLlama-Mistral 
Model Size1.1b
Required VRAM4.4 GB
Updated2024-09-30
Maintainermrfakename
Model Typemistral
Model Files  4.4 GB   4.4 GB
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.31.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than mrfakename/TinyLlama-Mistral.

Rank the TinyLlama Mistral 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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