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Mistral 7B OpenOrca Oasst Top1 2023 08 25 V2 by NickyNicky

 »  All LLMs  »  NickyNicky  »  Mistral 7B OpenOrca Oasst Top1 2023 08 25 V2   URL Share it on

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  Arxiv:2309.17453   Autotrain compatible   Bg   Ca   Conversational   Cs   Da   Dataset:open-orca/openorca Dataset:openassistant/oasst to...   De   En   Endpoints compatible   Es   Fr   Hr   Hu   It   Mistral   Nl   Pl   Pt   Pytorch   Region:us   Ro   Ru   Sharded   Sl   Sr   Sv   Uk
Model Card on HF 🤗: https://huggingface.co/NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2 

Mistral 7B OpenOrca Oasst Top1 2023 08 25 V2 Benchmarks

ARC: 60.49 vs 96.7 (so35)-37.4%
HellaSwag: 82.07 vs 95.3 (gpt4)-13.9%
MMLU: 62.34 vs 88.3 (so35)-29.4%
TruthfulQA: 46.38 vs 59 (gpt4)-21.4%
WinoGrande: 78.45 vs 87.5 (gpt4)-10.3%
GSM8K: 40.18 vs 96.4 (so35)-58.3%
LLME Score: 0.14264
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B OpenOrca Oasst Top1 2023 08 25 V2 (NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2)
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Mistral 7B OpenOrca Oasst Top1 2023 08 25 V2 Parameters and Internals

Model Type 
causal language model
Supported Languages 
bg (unknown), ca (unknown), cs (unknown), da (unknown), de (unknown), en (unknown), es (unknown), fr (unknown), hr (unknown), hu (unknown), it (unknown), nl (unknown), pl (unknown), pt (unknown), ro (unknown), ru (unknown), sl (unknown), sr (unknown), sv (unknown), uk (unknown)
Training Details 
Data Sources:
Open-Orca/OpenOrca, OpenAssistant/oasst_top1_2023-08-25
Context Length:
2048
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
Performance Tips:
For efficient generation, ensure CUDA is properly configured. Use load_in_4bit for lower CPU memory usage and verify max_length does not exceed context length.
LLM NameMistral 7B OpenOrca Oasst Top1 2023 08 25 V2
Repository 🤗https://huggingface.co/NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-16
MaintainerNickyNicky
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesbg ca cs da de en es fr hr hu it nl pl pt ro ru sl sr sv uk
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typebfloat16

Quantized Models of the Mistral 7B OpenOrca Oasst Top1 2023 08 25 V2

Model
Likes
Downloads
VRAM
...1 2023 08 25 V2.8.0bpw H8 EXL2067 GB
... Oasst Top1 2023 08 25 V2 GGUF62603 GB
... Oasst Top1 2023 08 25 V2 GPTQ5144 GB
...a Oasst Top1 2023 08 25 V2 AWQ244 GB

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Note: green Score (e.g. "73.2") means that the model is better than NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2.

Rank the Mistral 7B OpenOrca Oasst Top1 2023 08 25 V2 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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