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Mistral 7B OpenOrca Oasst Top1 2023 08 25 V2.8.0bpw H8 EXL2 by LoneStriker

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Mistral 7B OpenOrca Oasst Top1 2023 08 25 V2.8.0bpw H8 EXL2 is an open-source language model by LoneStriker. Features: 7b LLM, VRAM: 7.4GB, Context: 32K, License: apache-2.0, Quantized, HF Score: 61.7, LLM Explorer Score: 0.13, Arc: 60.5, HellaSwag: 82.1, MMLU: 62.3, TruthfulQA: 46.4, WinoGrande: 78.5, GSM8K: 40.2.

  Arxiv:2309.17453   Autotrain compatible   Bg   Ca   Conversational   Cs   Da   Dataset:open-orca/openorca Dataset:openassistant/oasst to...   De   En   Endpoints compatible   Es   Exl2   Fr   Hr   Hu   It   Mistral   Nl   Pl   Pt   Pytorch   Quantized   Region:us   Ro   Ru   Sl   Sr   Sv   Uk
Model Card on HF 🤗: https://huggingface.co/LoneStriker/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2-8.0bpw-h8-exl2 

Mistral 7B OpenOrca Oasst Top1 2023 08 25 V2.8.0bpw H8 EXL2 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: 0.13117
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 V2.8.0bpw H8 EXL2 (LoneStriker/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2-8.0bpw-h8-exl2)
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Mistral 7B OpenOrca Oasst Top1 2023 08 25 V2.8.0bpw H8 EXL2 Parameters and Internals

Model Type 
text generation
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:
Encoded tokenized inputs using AutoTokenizer
Accepted Modalities:
text
Output Format:
Generated text sequences
Release Notes 
Version:
v1
Version:
v2
Version:
v3
LLM NameMistral 7B OpenOrca Oasst Top1 2023 08 25 V2.8.0bpw H8 EXL2
Repository 🤗https://huggingface.co/LoneStriker/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2-8.0bpw-h8-exl2 
Base Model(s)  ...nOrca Oasst Top1 2023 08 25 V2   NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2
Model Size7b
Required VRAM7.4 GB
Updated2025-09-23
MaintainerLoneStriker
Model Typemistral
Model Files  7.4 GB
Supported Languagesbg ca cs da de en es fr hr hu it nl pl pt ro ru sl sr sv uk
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typebfloat16

Best Alternatives to Mistral 7B OpenOrca Oasst Top1 2023 08 25 V2.8.0bpw H8 EXL2

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Context / RAM
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...t 3.5 0106 128K 4.0bpw H6 EXL2128K / 3.9 GB11
...t 3.5 0106 128K 8.0bpw H8 EXL2128K / 7.4 GB11
Mistral 7B V0.3 Bnb 4bit32K / 4.1 GB35143322
Mistral 7B Instruct V0.2 Fp1632K / 14.4 GB260
Mistral 7B Instruct V0.2 4bit32K / 4.3 GB1331
...tral 7B Instruct V0.3 Bnb 4bit32K / 4.1 GB3043728
Mistral 7B Instruct V0.2 8bit32K / 7.6 GB131
...tral 7B Instruct V0.2 Bnb 4bit32K / 4.1 GB1256736
Mixtral V0.3 Full 16bit32K / 14.5 GB60
Mistral 7B Instruct V0.3 4bit32K / 4.1 GB250538
Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2-8.0bpw-h8-exl2.

Rank the Mistral 7B OpenOrca Oasst Top1 2023 08 25 V2.8.0bpw H8 EXL2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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