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Smol Llama 220M Openhermes by BEE-spoke-data

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  Autotrain compatible Base model:bee-spoke-data/smol... Base model:finetune:bee-spoke-...   Dataset:teknium/openhermes   Endpoints compatible   Llama   Model-index   Region:us   Safetensors

Smol Llama 220M Openhermes Benchmarks

ARC: 25.17 vs 96.7 (so35)-74%
HellaSwag: 28.98 vs 95.3 (gpt4)-69.6%
MMLU: 26.17 vs 88.3 (so35)-70.4%
TruthfulQA: 43.08 vs 59 (gpt4)-27%
WinoGrande: 52.01 vs 87.5 (gpt4)-40.6%
GSM8K: 0.61 vs 96.4 (so35)-99.4%
LLME Score: 0.24119
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 Openhermes Parameters and Internals

LLM NameSmol Llama 220M Openhermes
Repository 🤗https://huggingface.co/BEE-spoke-data/smol_llama-220M-openhermes 
Base Model(s)  Smol Llama 220M GQA   BEE-spoke-data/smol_llama-220M-GQA
Model Size220m
Required VRAM0.4 GB
Updated2024-10-11
MaintainerBEE-spoke-data
Model Typellama
Model Files  0.4 GB   0.0 GB
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32128
Torch Data Typebfloat16
Smol Llama 220M Openhermes (BEE-spoke-data/smol_llama-220M-openhermes)

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Note: green Score (e.g. "73.2") means that the model is better than BEE-spoke-data/smol_llama-220M-openhermes.

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Release v2024072803
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