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Zephyr 7B Beta 128K by CallComply

 »  All LLMs  »  CallComply  »  Zephyr 7B Beta 128K   URL Share it on

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  Arxiv:2305.18290   Arxiv:2310.16944   Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational Dataset:huggingfaceh4/ultracha... Dataset:huggingfaceh4/ultrafee...   En   Endpoints compatible   Generated from trainer   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

Zephyr 7B Beta 128K Benchmarks

ARC: 58.28 vs 96.7 (so35)-39.7%
HellaSwag: 81 vs 95.3 (gpt4)-15%
MMLU: 53.57 vs 88.3 (so35)-39.3%
TruthfulQA: 46.1 vs 59 (gpt4)-21.9%
WinoGrande: 74.74 vs 87.5 (gpt4)-14.6%
GSM8K: 13.04 vs 96.4 (so35)-86.5%
LLME Score: 0.20986
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 128K Parameters and Internals

LLM NameZephyr 7B Beta 128K
Repository 🤗https://huggingface.co/CallComply/zephyr-7b-beta-128k 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2024-09-18
MaintainerCallComply
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16
Zephyr 7B Beta 128K (CallComply/zephyr-7b-beta-128k)

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Note: green Score (e.g. "73.2") means that the model is better than CallComply/zephyr-7b-beta-128k.

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Release v2024072803
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