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Zephyr 7B Beta Sparse05 by kettleguts

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  Arxiv:2306.11695   Arxiv:2310.16944   Autotrain compatible   Conversational Dataset:huggingfaceh4/ultracha... Dataset:huggingfaceh4/ultrafee...   En   Endpoints compatible   Mistral   Pruned   Region:us   Safetensors   Sharded   Sparse   Tensorflow   Wanda

Zephyr 7B Beta Sparse05 Benchmarks

LLME Score: 0.19884
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Zephyr 7B Beta Sparse05 Parameters and Internals

LLM NameZephyr 7B Beta Sparse05
Repository 🤗https://huggingface.co/kettleguts/zephyr-7b-beta_sparse05 
Model Size7b
Required VRAM14.5 GB
Updated2024-10-18
Maintainerkettleguts
Model Typemistral
Model Files  4.0 GB: 1-of-4   3.9 GB: 2-of-4   3.9 GB: 3-of-4   2.7 GB: 4-of-4
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.39.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
Zephyr 7B Beta Sparse05 (kettleguts/zephyr-7b-beta_sparse05)

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Note: green Score (e.g. "73.2") means that the model is better than kettleguts/zephyr-7b-beta_sparse05.

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Release v2024072803
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