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NousResearch Genstruct 7B GGUF by Goekdeniz-Guelmez

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  Arxiv:2310.04484   Autotrain compatible Base model:mistralai/mistral-7... Base model:quantized:mistralai...   Conversational   En   Endpoints compatible   Finetuned   Gguf   Instruct   Mistral   Quantized   Region:us   Safetensors   Sharded   Synthetic   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Goekdeniz-Guelmez/NousResearch-Genstruct-7B-GGUF 

NousResearch Genstruct 7B GGUF Benchmarks

ARC: 83.6 vs 96.7 (so35)-13.5%
HellaSwag: 78.9 vs 95.3 (gpt4)-17.2%
MMLU: 64.1 vs 88.3 (so35)-27.4%
TruthfulQA: 42.15 vs 59 (gpt4)-28.6%
WinoGrande: 78.37 vs 87.5 (gpt4)-10.4%
GSM8K: 47.5 vs 96.4 (so35)-50.7%
OpenCompas: 53.6 vs 73.3 (gpt4)-26.9%
Exam: 63.7 vs 77.2 (gpt4)-17.5%
Language: 41.9 vs 62 (gpt4)-32.4%
Knowledge: 58.1 vs 73.5 (gpt4)-21%
Understand: 62.3 vs 70 (gpt4)-11%
Reasoning: 49.8 vs 74.4 (gpt4)-33.1%
LLME Score: 0.19096
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NousResearch Genstruct 7B GGUF (Goekdeniz-Guelmez/NousResearch-Genstruct-7B-GGUF)

NousResearch Genstruct 7B GGUF Parameters and Internals

Model Type 
instruct, finetune, synthetic
Additional Notes 
Genstruct 7B is an instruction-generation model, designed to create valid instructions from a raw text corpus, enabling the creation of new, partially synthetic instruction finetuning datasets.
Supported Languages 
en (English)
LLM NameNousResearch Genstruct 7B GGUF
Repository 🤗https://huggingface.co/Goekdeniz-Guelmez/NousResearch-Genstruct-7B-GGUF 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
MaintainerGoekdeniz-Guelmez
Model Typemistral
Model Files  3.8 GB   3.5 GB   3.2 GB   4.4 GB   4.1 GB   5.0 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB   14.5 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32001
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Goekdeniz-Guelmez/NousResearch-Genstruct-7B-GGUF.

Rank the NousResearch Genstruct 7B GGUF 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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