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Tinyllama 616M Cinder DPO With GGUF by Josephgflowers

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

Tinyllama 616M Cinder DPO With GGUF Benchmarks

ARC: 26.28 vs 96.7 (so35)-72.8%
HellaSwag: 36.36 vs 95.3 (gpt4)-61.8%
MMLU: 24.82 vs 88.3 (so35)-71.9%
TruthfulQA: 43.58 vs 59 (gpt4)-26.1%
WinoGrande: 53.43 vs 87.5 (gpt4)-38.9%
GSM8K: 0.15 vs 96.4 (so35)-99.8%
LLME Score: 0.23772
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 DPO With GGUF (Josephgflowers/Tinyllama-616M-Cinder-DPO-With-GGUF)

Tinyllama 616M Cinder DPO With GGUF 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 DPO With GGUF
Repository 🤗https://huggingface.co/Josephgflowers/Tinyllama-616M-Cinder-DPO-With-GGUF 
Model Size616m
Required VRAM1.2 GB
Updated2024-12-26
MaintainerJosephgflowers
Model Typellama
Model Files  1.2 GB   1.2 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Josephgflowers/Tinyllama-616M-Cinder-DPO-With-GGUF.

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Release v20241217
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