AIGCodeGeek DS 6.7B by aigcode

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  Autotrain compatible   Code   Conversational Dataset:flytech/python-codes-2... Dataset:ise-uiuc/magicoder-evo... Dataset:leon-leee/wizardlm evo...   Dataset:m-a-p/code-feedback Dataset:openbmb/ultrainteract ...   Endpoints compatible   Finetuned   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

AIGCodeGeek DS 6.7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

AIGCodeGeek DS 6.7B Parameters and Internals

LLM NameAIGCodeGeek DS 6.7B
Repository 🤗https://huggingface.co/aigcode/AIGCodeGeek-DS-6.7B 
Model Size6.7b
Required VRAM13.5 GB
Updated2024-10-18
Maintaineraigcode
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length16384
Model Max Length16384
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<|end▁of▁sentence|>
Vocabulary Size32256
Torch Data Typebfloat16
AIGCodeGeek DS 6.7B (aigcode/AIGCodeGeek-DS-6.7B)

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Note: green Score (e.g. "73.2") means that the model is better than aigcode/AIGCodeGeek-DS-6.7B.

Rank the AIGCodeGeek DS 6.7B 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