Codellama 7B DolphinCoder by monsterapi

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  Adapter Base model:adapter:codellama/c... Base model:codellama/codellama...   Code   Code-llama   Codegen Dataset:cognitivecomputations/...   Finetuned   Instruct   Lora   Peft   Region:us

Codellama 7b DolphinCoder Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codellama 7B DolphinCoder (monsterapi/codellama_7b_DolphinCoder)

Codellama 7B DolphinCoder Parameters and Internals

Training Details 
Data Sources:
cognitivecomputations/dolphin-coder
Data Volume:
100,000+ coding questions and responses
Methodology:
supervised fine-tuning (SFT)
Training Time:
15hr 31mins
Hardware Used:
A6000 48GB GPU
LLM NameCodellama 7b DolphinCoder
Repository ๐Ÿค—https://huggingface.co/monsterapi/codellama_7b_DolphinCoder 
Base Model(s)  CodeLlama 7B Hf   codellama/CodeLlama-7b-hf
Model Size7b
Required VRAM0.1 GB
Updated2025-02-22
Maintainermonsterapi
Model Files  0.1 GB
Generates CodeYes
Model ArchitectureAdapter
Licenseapache-2.0
Is Biasednone
Tokenizer ClassCodeLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|k_proj|v_proj|o_proj
LoRA Alpha64
LoRA Dropout0
R Param32

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Note: green Score (e.g. "73.2") means that the model is better than monsterapi/codellama_7b_DolphinCoder.

Rank the Codellama 7B DolphinCoder 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227