Zephyr 7B Beta 128K by CallComply

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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

Zephyr 7B Beta 128K Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model can produce problematic outputs when prompted as it is not aligned with human preferences for safety.
Supported Languages 
primary (English)
Training Details 
Data Sources:
UltraChat dataset, openbmb/UltraFeedback
Methodology:
Direct Preference Optimization (DPO)
Model Architecture:
7B parameter GPT-like model
Input Output 
Accepted Modalities:
text
Output Format:
text
Release Notes 
Version:
7B
Notes:
Zephyr-7B-ฮฒ is the second model in the Zephyr series and demonstrates improved performance using Direct Preference Optimization.
LLM NameZephyr 7B Beta 128K
Repository ๐Ÿค—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
Updated2024-11-21
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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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110