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Spider Skeleton Wizard Coder Merged by richardr1126

 »  All LLMs  »  richardr1126  »  Spider Skeleton Wizard Coder Merged   URL Share it on

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  Arxiv:1809.08887   Arxiv:2305.14314   Autotrain compatible   Codegen   Codegen Dataset:richardr1126/spider-sk...   Dataset:spider   Endpoints compatible   Gpt bigcode   Instruct   Model-index   Pytorch   Region:us   Safetensors   Sharded   Spider   Sql   Sql   Sql finetune   Tensorflow
Model Card on HF 🤗: https://huggingface.co/richardr1126/spider-skeleton-wizard-coder-merged 

Spider Skeleton Wizard Coder Merged Benchmarks

LLME Score: 0.11452
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Spider Skeleton Wizard Coder Merged (richardr1126/spider-skeleton-wizard-coder-merged)

Spider Skeleton Wizard Coder Merged Parameters and Internals

Model Type 
text-generation
Additional Notes 
Fine-tuned on an enhanced Spider context training dataset. If you want just the QLoRa/LoRA adapter, see: https://huggingface.co/richardr1126/spider-skeleton-wizard-coder-qlora.
Training Details 
Data Sources:
Spider Dataset, Spider Dev w/ Database Context
Methodology:
Finetuning using QLoRa
Hardware Used:
3x RTX6000 48GB
LLM NameSpider Skeleton Wizard Coder Merged
Repository 🤗https://huggingface.co/richardr1126/spider-skeleton-wizard-coder-merged 
Model Size15b
Required VRAM31.2 GB
Updated2025-03-23
Maintainerrichardr1126
Model Typegpt_bigcode
Instruction-BasedYes
Model Files  10.0 GB: 1-of-4   9.9 GB: 2-of-4   9.9 GB: 3-of-4   1.4 GB: 4-of-4   10.0 GB: 1-of-4   9.9 GB: 2-of-4   9.9 GB: 3-of-4   1.4 GB: 4-of-4
Generates CodeYes
Model ArchitectureGPTBigCodeForCausalLM
Licensebigcode-openrail-m
Model Max Length2048
Transformers Version4.32.0.dev0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size49153
Torch Data Typefloat16
Activation Functiongelu

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Note: green Score (e.g. "73.2") means that the model is better than richardr1126/spider-skeleton-wizard-coder-merged.

Rank the Spider Skeleton Wizard Coder Merged 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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