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NeuralExperiment 7B MagicCoder V7.5 by Kukedlc

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  Autotrain compatible Dataset:ise-uiuc/magicoder-evo... Dataset:microsoft/orca-math-wo... Dataset:vezora/tested-22k-pyth...   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

NeuralExperiment 7B MagicCoder V7.5 Benchmarks

MMLU Pro: 20.27
GPQA: 6.15
MUSR: 13.06
BBH: 16.39
IFEval: 45.53 vs 88 (so35)-48.3%
ARC: 71.33 vs 96.7 (so35)-26.2%
HellaSwag: 87.94 vs 95.3 (gpt4)-7.7%
MMLU: 64.62 vs 88.3 (so35)-26.8%
TruthfulQA: 72.11 vs 59 (gpt4)22.2%
WinoGrande: 83.5 vs 87.5 (gpt4)-4.6%
GSM8K: 66.19 vs 96.4 (so35)-31.3%
MATH Lvl 5: 6.12
LLME Score: 0.31185
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

NeuralExperiment 7B MagicCoder V7.5 Parameters and Internals

LLM NameNeuralExperiment 7B MagicCoder V7.5
Repository 🤗https://huggingface.co/Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5 
Model Size7b
Required VRAM14.4 GB
Updated2024-09-16
MaintainerKukedlc
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
NeuralExperiment 7B MagicCoder V7.5 (Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5)

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Note: green Score (e.g. "73.2") means that the model is better than Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5.

Rank the NeuralExperiment 7B MagicCoder V7.5 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 v2024072803
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