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Mixtral AI CyberTron Coder by LeroyDyer

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  Autotrain compatible Base model:finetune:leroydyer/... Base model:leroydyer/mixtral a...   Conversational   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/LeroyDyer/Mixtral_AI_CyberTron_Coder 

Mixtral AI CyberTron Coder Benchmarks

ARC: 64.25 vs 96.7 (so35)-33.6%
HellaSwag: 84.27 vs 95.3 (gpt4)-11.6%
MMLU: 62.76 vs 88.3 (so35)-28.9%
TruthfulQA: 59.71 vs 59 (gpt4)1.2%
WinoGrande: 78.61 vs 87.5 (gpt4)-10.2%
GSM8K: 51.02 vs 96.4 (so35)-47.1%
LLME Score: 0.20381
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral AI CyberTron Coder (LeroyDyer/Mixtral_AI_CyberTron_Coder)

Mixtral AI CyberTron Coder Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, trl
Additional Notes 
Trained for coding assistance. The model was trained on multiple coding datasets, mainly alpaca, and serves as a foundation model with a flexible merging or training pathway for creating coding models or solving coding problems and math issues.
LLM NameMixtral AI CyberTron Coder
Repository 🤗https://huggingface.co/LeroyDyer/Mixtral_AI_CyberTron_Coder 
Base Model(s)  Mixtral AI CyberTron   LeroyDyer/Mixtral_AI_CyberTron
Model Size7.2b
Required VRAM14.4 GB
Updated2024-12-27
MaintainerLeroyDyer
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/Mixtral_AI_CyberTron_Coder.

Rank the Mixtral AI CyberTron Coder 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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