Octocoder by bigcode

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  Arxiv:2308.07124   Code   Codegen   Dataset:bigcode/commitpackft   Dataset:bigcode/oasst-octopack   Endpoints compatible   Model-index   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/bigcode/octocoder 

Octocoder Benchmarks

Octocoder (bigcode/octocoder)
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Octocoder Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
CommitPack, CommitPackFT, OASST
Data Volume:
1 trillion pretraining tokens and 2M instruction tuning
Methodology:
Instruction tuning with Fill-in-the-Middle objective
Training Time:
24 days for pretraining, 4 hours for instruction tuning
Hardware Used:
512 Tesla A100 for pretraining, 8 Tesla A100 for instruction tuning
Model Architecture:
GPT-2 model with multi-query attention
LLM NameOctocoder
Repository ๐Ÿค—https://huggingface.co/bigcode/octocoder 
Model Size15.5b
Required VRAM62.1 GB
Updated2025-08-22
Maintainerbigcode
Model Typegpt_bigcode
Model Files  9.9 GB: 1-of-7   9.9 GB: 2-of-7   9.8 GB: 3-of-7   9.9 GB: 4-of-7   9.8 GB: 5-of-7   9.9 GB: 6-of-7   2.9 GB: 7-of-7   9.9 GB: 1-of-7   9.9 GB: 2-of-7   9.8 GB: 3-of-7   9.9 GB: 4-of-7   9.8 GB: 5-of-7   9.9 GB: 6-of-7   2.9 GB: 7-of-7
Generates CodeYes
Model ArchitectureGPTBigCodeForCausalLM
Licensebigcode-openrail-m
Transformers Version4.31.0.dev0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size49152
Torch Data Typefloat32
Activation Functiongelu

Quantized Models of the Octocoder

Model
Likes
Downloads
VRAM
Octocoder GGML15310 GB
Octocoder GPTQ7149 GB

Best Alternatives to Octocoder

Best Alternatives
Context / RAM
Downloads
Likes
Starchat Alpha0K / 31.2 GB1816232
Starchat Beta0K / 31.2 GB1933263
...der15B Personal Copilot Merged0K / 30.9 GB111
Starcoderbase Triviaqa0K / 62.1 GB80
...der15B Personal Copilot Merged0K / 31.2 GB263
Note: green Score (e.g. "73.2") means that the model is better than bigcode/octocoder.

Rank the Octocoder Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124