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Zephyr Qwen2 7B Sft by tanliboy

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  Alignment-handbook   Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2-7b   Conversational Dataset:huggingfaceh4/ultracha...   Endpoints compatible   Generated from trainer   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorboard   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/tanliboy/zephyr-qwen2-7b-sft 

Zephyr Qwen2 7B Sft Benchmarks

LLME Score: 0.19209
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zephyr Qwen2 7B Sft (tanliboy/zephyr-qwen2-7b-sft)

Zephyr Qwen2 7B Sft Parameters and Internals

Training Details 
Data Sources:
HuggingFaceH4/ultrachat_200k
Hardware Used:
multi-GPU
LLM NameZephyr Qwen2 7B Sft
Repository 🤗https://huggingface.co/tanliboy/zephyr-qwen2-7b-sft 
Base Model(s)  Qwen2 7B   Qwen/Qwen2-7B
Model Size7b
Required VRAM15.2 GB
Updated2025-02-22
Maintainertanliboy
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4   0.0 GB
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.40.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than tanliboy/zephyr-qwen2-7b-sft.

Rank the Zephyr Qwen2 7B Sft Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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