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Smol Llama 220M GQA 32K Theta by Doctor-Shotgun

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  Autotrain compatible Dataset:togethercomputer/redpa...   En   Endpoints compatible   Llama   Llama 2   Pytorch   Region:us   Smol llama
Model Card on HF 🤗: https://huggingface.co/Doctor-Shotgun/smol_llama-220M-GQA-32k-theta 

Smol Llama 220M GQA 32K Theta Benchmarks

LLME Score: 0.16394
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Smol Llama 220M GQA 32K Theta (Doctor-Shotgun/smol_llama-220M-GQA-32k-theta)

Smol Llama 220M GQA 32K Theta Parameters and Internals

Model Type 
long-context speculative decoding
Additional Notes 
Experimental model with focus on long-context speculative decoding.
Supported Languages 
en (English)
Training Details 
Data Sources:
togethercomputer/RedPajama-Data-1T-Sample
Methodology:
rope theta (rope frequency base) method for context extension
Context Length:
32768
LLM NameSmol Llama 220M GQA 32K Theta
Repository 🤗https://huggingface.co/Doctor-Shotgun/smol_llama-220M-GQA-32k-theta 
Model Size220m
Required VRAM0.4 GB
Updated2024-12-21
MaintainerDoctor-Shotgun
Model Typellama
Model Files  0.4 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
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 Doctor-Shotgun/smol_llama-220M-GQA-32k-theta.

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Release v20241217
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