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CodeLlama 7B Hf by NousResearch

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  Autotrain compatible   Codegen   Custom code   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/NousResearch/CodeLlama-7b-hf 

CodeLlama 7B Hf Benchmarks

ARC: 39.85 vs 96.7 (so35)-58.8%
HellaSwag: 59.58 vs 95.3 (gpt4)-37.5%
MMLU: 30.47 vs 88.3 (so35)-65.5%
TruthfulQA: 38.62 vs 59 (gpt4)-34.5%
WinoGrande: 64.88 vs 87.5 (gpt4)-25.9%
GSM8K: 5.46 vs 96.4 (so35)-94.3%
LLME Score: 0.20277
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeLlama 7B Hf (NousResearch/CodeLlama-7b-hf)

CodeLlama 7B Hf Parameters and Internals

LLM NameCodeLlama 7B Hf
Repository 🤗https://huggingface.co/NousResearch/CodeLlama-7b-hf 
Model Size7b
Required VRAM13.5 GB
Updated2025-03-12
MaintainerNousResearch
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Context Length16384
Model Max Length16384
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32016
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than NousResearch/CodeLlama-7b-hf.

Rank the CodeLlama 7B Hf Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Release v20241227
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