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CodeLlama 70B Instruct Hf by codellama

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  Arxiv:2308.12950   Autotrain compatible   Code   Codegen   Conversational   Endpoints compatible   Instruct   Llama   Llama2   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/codellama/CodeLlama-70b-Instruct-hf 

CodeLlama 70B Instruct Hf Benchmarks

ARC: 55.03 vs 96.7 (so35)-43.1%
HellaSwag: 77.24 vs 95.3 (gpt4)-19%
MMLU: 56.4 vs 88.3 (so35)-36.1%
TruthfulQA: 50.44 vs 59 (gpt4)-14.5%
WinoGrande: 74.51 vs 87.5 (gpt4)-14.8%
GSM8K: 46.25 vs 96.4 (so35)-52%
HumanEvalA: 42.64
Python Eva: 75.6 vs 92 (so35)-17.8%
Java Eval: 47.2
Javascript: 57.76
CPP Eval: 48.45
PHP Eval: 57.14
Julia Eval: 42.24
D Eval: 19.88
Lua Eval: 44.1
R Eval: 29.19
Rust Eval: 47.2
Swift Eval: 42.86
LLME Score: 0.25903
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeLlama 70B Instruct Hf (codellama/CodeLlama-70b-Instruct-hf)

CodeLlama 70B Instruct Hf Parameters and Internals

Model Type 
text-generation, code synthesis
Use Cases 
Areas:
Commercial use, Research
Primary Use Cases:
Code synthesis and understanding, Python programming, Instruction following
Considerations:
Use in English and relevant programming languages.
Supported Languages 
English (General proficiency, focused on code synthesis and understanding)
Training Details 
Context Length:
16000
Hardware Used:
Meta’s Research Super Cluster, A100-80GB GPUs
Model Architecture:
Auto-regressive language model with an optimized transformer architecture.
Input Output 
Input Format:
Text only
Output Format:
Text only
LLM NameCodeLlama 70B Instruct Hf
Repository 🤗https://huggingface.co/codellama/CodeLlama-70b-Instruct-hf 
Model Size70b
Required VRAM72.3 GB
Updated2024-12-22
Maintainercodellama
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB: 1-of-29   4.7 GB: 2-of-29   5.0 GB: 3-of-29   5.0 GB: 4-of-29   4.7 GB: 5-of-29   4.7 GB: 6-of-29   4.7 GB: 7-of-29   5.0 GB: 8-of-29   5.0 GB: 9-of-29   4.7 GB: 10-of-29   4.7 GB: 11-of-29   4.7 GB: 12-of-29   5.0 GB: 13-of-29   5.0 GB: 14-of-29   4.7 GB: 15-of-29   4.7 GB: 16-of-29   4.7 GB: 17-of-29   5.0 GB: 18-of-29   5.0 GB: 19-of-29   4.7 GB: 20-of-29   4.7 GB: 21-of-29   4.7 GB: 22-of-29   5.0 GB: 23-of-29   5.0 GB: 24-of-29   4.7 GB: 25-of-29   4.7 GB: 26-of-29   4.7 GB: 27-of-29   5.0 GB: 28-of-29   3.8 GB: 29-of-29   4.7 GB: 1-of-29   4.7 GB: 2-of-29   5.0 GB: 3-of-29   5.0 GB: 4-of-29   4.7 GB: 5-of-29   4.7 GB: 6-of-29   4.7 GB: 7-of-29   5.0 GB: 8-of-29   5.0 GB: 9-of-29   4.7 GB: 10-of-29   4.7 GB: 11-of-29   4.7 GB: 12-of-29   5.0 GB: 13-of-29   5.0 GB: 14-of-29   4.7 GB: 15-of-29
Supported Languagescode
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.37.1
Vocabulary Size32016
Torch Data Typebfloat16

Quantized Models of the CodeLlama 70B Instruct Hf

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CodeLlama 70B Instruct GGUF56411425 GB
CodeLlama 70B Instruct Hf GGUF217425 GB
CodeLlama 70B Instruct AWQ135436 GB
CodeLlama 70B Instruct GPTQ123135 GB

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Rank the CodeLlama 70B Instruct Hf 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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Release v20241217
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