Deepseek 7B Instruct Matho Finetune by sudhanshu746

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  Arxiv:2402.03300   4-bit   Autotrain compatible   Bitsandbytes   Conversational   Endpoints compatible   Finetuned   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

Deepseek 7B Instruct Matho Finetune Benchmarks

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

Deepseek 7B Instruct Matho Finetune Parameters and Internals

LLM NameDeepseek 7B Instruct Matho Finetune
Repository 🤗https://huggingface.co/sudhanshu746/deepseek-7b-instruct-matho-finetune 
Model Size7b
Required VRAM6.5 GB
Updated2024-09-07
Maintainersudhanshu746
Model Typellama
Instruction-BasedYes
Model Files  4.8 GB: 1-of-2   1.7 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
LicenseMIT
Context Length4096
Model Max Length4096
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<|end▁of▁sentence|>
Vocabulary Size102400
Torch Data Typefloat32
Deepseek 7B Instruct Matho Finetune (sudhanshu746/deepseek-7b-instruct-matho-finetune)

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Note: green Score (e.g. "73.2") means that the model is better than sudhanshu746/deepseek-7b-instruct-matho-finetune.

Rank the Deepseek 7B Instruct Matho Finetune Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803