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Tinyllama 616M Cinder by Josephgflowers

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  Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Josephgflowers/Tinyllama-616M-Cinder 

Tinyllama 616M Cinder Benchmarks

ARC: 26.45 vs 96.7 (so35)-72.6%
HellaSwag: 36.4 vs 95.3 (gpt4)-61.8%
MMLU: 24.86 vs 88.3 (so35)-71.8%
TruthfulQA: 43.41 vs 59 (gpt4)-26.4%
WinoGrande: 53.28 vs 87.5 (gpt4)-39.1%
LLME Score: 0.2457
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tinyllama 616M Cinder (Josephgflowers/Tinyllama-616M-Cinder)

Tinyllama 616M Cinder Parameters and Internals

Use Cases 
Considerations:
Model intended as a base that may require additional work
Additional Notes 
Intended for continued training and development, developer requests collaboration via TinyLlama Discord
Training Details 
Data Sources:
Reason with Cinder dataset, open orca, sharegpt, cinder, tiny textbooks
Methodology:
Model pruning and further training on specified datasets
Model Architecture:
Reduced from 22 layers to 11 layers
LLM NameTinyllama 616M Cinder
Repository 🤗https://huggingface.co/Josephgflowers/Tinyllama-616M-Cinder 
Model Size616m
Required VRAM0 GB
Updated2024-12-26
MaintainerJosephgflowers
Model Typellama
Model Files  1.2 GB   0.0 GB   0.0 GB   0.0 GB
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.40.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat32

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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