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Damysus Coder V0.1 by prince-canuma

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  4bit   Autotrain compatible Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-...   Codegen   Conversational   En   Endpoints compatible   Instruct   Mistral   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth

Damysus Coder V0.1 Benchmarks

ARC: 60.92 vs 96.7 (so35)-37%
HellaSwag: 84.01 vs 95.3 (gpt4)-11.8%
MMLU: 60.54 vs 88.3 (so35)-31.4%
TruthfulQA: 64.2 vs 59 (gpt4)8.8%
WinoGrande: 77.11 vs 87.5 (gpt4)-11.9%
GSM8K: 39.27 vs 96.4 (so35)-59.3%
LLME Score: 0.22344
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Damysus Coder V0.1 Parameters and Internals

LLM NameDamysus Coder V0.1
Repository 🤗https://huggingface.co/prince-canuma/Damysus-Coder-v0.1 
Base Model(s)  unsloth/mistral-7b-instruct-v0.2-bnb-4bit   unsloth/mistral-7b-instruct-v0.2-bnb-4bit
Model Size7b
Required VRAM14.4 GB
Updated2024-09-21
Maintainerprince-canuma
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Quantization Type4bit
Generates CodeYes
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Damysus Coder V0.1 (prince-canuma/Damysus-Coder-v0.1)

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Rank the Damysus Coder V0.1 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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