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Mistral Pro 8B V0.1 by TencentARC

 »  All LLMs  »  TencentARC  »  Mistral Pro 8B V0.1   URL Share it on

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  Autotrain compatible Dataset:bigcode/the-stack-dedu... Dataset:eleutherai/proof-pile-... Dataset:huggingfacetb/cosmoped...   Dataset:math-ai/automathtext   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TencentARC/Mistral_Pro_8B_v0.1 

Mistral Pro 8B V0.1 Benchmarks

MMLU Pro: 19.61
GPQA: 4.03
MUSR: 11.83
BBH: 22.89
IFEval: 21.15 vs 88 (so35)-76%
ARC: 62.2 vs 96.7 (so35)-35.7%
HellaSwag: 82.13 vs 95.3 (gpt4)-13.8%
MMLU: 61.74 vs 88.3 (so35)-30.1%
TruthfulQA: 49.32 vs 59 (gpt4)-16.4%
WinoGrande: 76.8 vs 87.5 (gpt4)-12.2%
GSM8K: 34.19 vs 96.4 (so35)-64.5%
MATH Lvl 5: 5.66
LLME Score: 0.23499
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Pro 8B V0.1 (TencentARC/Mistral_Pro_8B_v0.1)

Mistral Pro 8B V0.1 Parameters and Internals

Model Type 
text generation, programming, mathematics
Use Cases 
Areas:
NLP tasks, programming, mathematics
Primary Use Cases:
programming, mathematics, general language tasks
Limitations:
Challenges specific to highly specialized domains or tasks
Supported Languages 
en (English)
Training Details 
Data Sources:
HuggingFaceTB/cosmopedia, EleutherAI/proof-pile-2, bigcode/the-stack-dedup, math-ai/AutoMathText
Methodology:
Enhanced by the addition of Transformer blocks
Responsible Ai Considerations 
Mitigation Strategies:
Users should be aware of potential biases in the model and use it responsibly.
LLM NameMistral Pro 8B V0.1
Repository 🤗https://huggingface.co/TencentARC/Mistral_Pro_8B_v0.1 
Model Size8b
Required VRAM17.9 GB
Updated2025-03-11
MaintainerTencentARC
Model Typemistral
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   3.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TencentARC/Mistral_Pro_8B_v0.1.

Rank the Mistral Pro 8B V0.1 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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