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Zephyr 7B Beta 5.0bpw EXL2 by aspirina765

 »  All LLMs  »  aspirina765  »  Zephyr 7B Beta 5.0bpw EXL2   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   Exl2   Generated from trainer   Mistral   Model-index   Pytorch   Quantized   Region:us   Safetensors   Sharded

Zephyr 7B Beta 5.0bpw EXL2 Benchmarks

LLME Score: 0.23196
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 5.0bpw EXL2 Parameters and Internals

LLM NameZephyr 7B Beta 5.0bpw EXL2
Repository 🤗https://huggingface.co/aspirina765/zephyr-7b-beta-5.0bpw-exl2 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2024-09-07
Maintaineraspirina765
Model Typemistral
Model Files  0.0 GB   1.7 GB   4.7 GB   1.9 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   2.0 GB: 5-of-8   1.9 GB: 6-of-8   2.0 GB: 7-of-8   0.8 GB: 8-of-8   0.0 GB
Supported Languagesen
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16
Zephyr 7B Beta 5.0bpw EXL2 (aspirina765/zephyr-7b-beta-5.0bpw-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than aspirina765/zephyr-7b-beta-5.0bpw-exl2.

Rank the Zephyr 7B Beta 5.0bpw EXL2 Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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