Snap Finetune Deepseek7B Evolinstruct by takriz

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Finetuned   Llama   Llama-factory   Region:us   Safetensors

Snap Finetune Deepseek7B Evolinstruct Benchmarks

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

Snap Finetune Deepseek7B Evolinstruct Parameters and Internals

LLM NameSnap Finetune Deepseek7B Evolinstruct
Repository 🤗https://huggingface.co/takriz/snap_finetune_deepseek7B_evolinstruct 
Model Size7b
Required VRAM13.8 GB
Updated2025-06-09
Maintainertakriz
Model Typellama
Model Files  13.8 GB
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<|end▁of▁sentence|>
Vocabulary Size102400
Torch Data Typebfloat16
Snap Finetune Deepseek7B Evolinstruct (takriz/snap_finetune_deepseek7B_evolinstruct)

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Note: green Score (e.g. "73.2") means that the model is better than takriz/snap_finetune_deepseek7B_evolinstruct.

Rank the Snap Finetune Deepseek7B Evolinstruct Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124