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CodeMind Llama3 8B Unsloth V4 One DPO Merged by LimYeri

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Model Card on HF 🤗: https://huggingface.co/LimYeri/CodeMind-Llama3-8B-unsloth_v4-one-DPO-merged 

CodeMind Llama3 8B Unsloth V4 One DPO Merged Benchmarks

MMLU Pro: 26.15
GPQA: 2.46
MUSR: 3.57
BBH: 26.37
IFEval: 64.92 vs 88 (so35)-26.2%
MATH Lvl 5: 6.8
LLME Score: 0.25247
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeMind Llama3 8B Unsloth V4 One DPO Merged (LimYeri/CodeMind-Llama3-8B-unsloth_v4-one-DPO-merged)

CodeMind Llama3 8B Unsloth V4 One DPO Merged Parameters and Internals

LLM NameCodeMind Llama3 8B Unsloth V4 One DPO Merged
Repository 🤗https://huggingface.co/LimYeri/CodeMind-Llama3-8B-unsloth_v4-one-DPO-merged 
Base Model(s)  Llama 3 8B Instruct Bnb 4bit   unsloth/llama-3-8b-Instruct-bnb-4bit
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
MaintainerLimYeri
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typebfloat16

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Rank the CodeMind Llama3 8B Unsloth V4 One DPO Merged 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  
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Release v20241227
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