LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  Agents   Benchmarks   LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

CodeLlama 70B Hf by codellama

 »  All LLMs  »  codellama  »  CodeLlama 70B Hf   URL Share it on

  292   

CodeLlama 70B Hf is an open-source language model by codellama. Features: 70b LLM, VRAM: 77GB, Context: 16K, License: llama2, Code Generating, HF Score: 58.9, LLM Explorer Score: 0.27, ELO: 1056, Arc: 56.7, HellaSwag: 78.2, MMLU: 59.7, TruthfulQA: 39.8, WinoGrande: 75.2, GSM8K: 44, HumanEval: 52.4.

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

CodeLlama 70B Hf Benchmarks

LMSys ELO: 1056 vs 1272 (so35)-17%
ARC: 56.74 vs 96.7 (so35)-41.3%
HellaSwag: 78.21 vs 95.3 (gpt4)-17.9%
MMLU: 59.67 vs 88.3 (so35)-32.4%
TruthfulQA: 39.79 vs 59 (gpt4)-32.6%
WinoGrande: 75.22 vs 87.5 (gpt4)-14%
GSM8K: 43.97 vs 96.4 (so35)-54.4%
HumanEvalA: 39.93
Python Eva: 52.44 vs 92 (so35)-43%
Java Eval: 44.72
Javascript: 56.52
CPP Eval: 49.69
PHP Eval: 46.58
Julia Eval: 42.24
D Eval: 24.84
Lua Eval: 41.61
R Eval: 27.95
Rust Eval: 49.69
Swift Eval: 42.86
LLME Score: 0.26966
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeLlama 70B Hf (codellama/CodeLlama-70b-hf)
🌟 Advertise your project 🚀

CodeLlama 70B Hf Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
commercial, research
Applications:
code synthesis, understanding tasks, Python programming, code assistant and generation
Limitations:
Use in languages other than English
Additional Notes 
Code Llama is a non-official repository in Hugging Face format. Training involved 1400K GPU hours with offset emissions.
Supported Languages 
English (high proficiency)
Training Details 
Context Length:
16000
Model Architecture:
Auto-regressive language model using an optimized transformer architecture
Input Output 
Input Format:
text only
Output Format:
text
LLM NameCodeLlama 70B Hf
Repository 🤗https://huggingface.co/codellama/CodeLlama-70b-hf 
Model Size70b
Required VRAM77 GB
Updated2025-11-10
Maintainercodellama
Model Typellama
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   4.7 GB: 16-of-29
Supported Languagescode
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.37.1
Vocabulary Size32016
Torch Data Typebfloat16

Quantized Models of the CodeLlama 70B Hf

Model
Likes
Downloads
VRAM
CodeLlama 70B Hf GGUF4255825 GB
CodeLlama 70B Hf AWQ47936 GB
CodeLlama 70B Hf GPTQ102735 GB
CodeLLaMA 70B Hf Fp16266138 GB

Best Alternatives to CodeLlama 70B Hf

Best Alternatives
Context / RAM
Downloads
Likes
Sqlcoder 70B Alpha16K / 138.7 GB144231
CodeLlama 70B Hf16K / 77 GB3627
BigCodeLlama 169B16K / 338.2 GB55014
...enbuddy Codellama 70B V17.1 4K16K / 138.9 GB101
...enbuddy Codellama 70B V17.1 4K16K / 138.9 GB51
CodeLlama 70B Instruct Hf4K / 72.3 GB36224
CodeLlama 70B Instruct Hf4K / 72.3 GB1701208
Code Llama 70B Python Instruct4K / 138.1 GB51
CodeLlama 70B Python Hf4K / 77 GB451110
CodeRosa 70B AB14K / 61.3 GB2041

Rank the CodeLlama 70B 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  

What open-source LLMs or SLMs are you in search of? 52721 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a
  Support LLM Explorer