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Octocoder GPTQ by TheBloke

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  Arxiv:2308.07124   4-bit   Base model:bigcode/octocoder Base model:quantized:bigcode/o...   Code   Codegen   Dataset:bigcode/commitpackft   Dataset:bigcode/oasst-octopack   Gpt bigcode   Gptq   Model-index   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Octocoder-GPTQ 

Octocoder GPTQ Benchmarks

LLME Score: 0.10155
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Octocoder GPTQ (TheBloke/Octocoder-GPTQ)
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Octocoder GPTQ Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Software development, Code generation
Applications:
Programming assistance, Coding instruction
Primary Use Cases:
Assisting programmers in writing code, Providing coding solutions based on instructions
Limitations:
May not provide optimal solutions for complex problems., Performance is dependent on the quality of the input prompt.
Considerations:
Preface input with 'Question: ' and finish it with 'Answer:'
Supported Languages 
programming_languages (80+ Programming languages)
Training Details 
Data Sources:
bigcode/commitpackft, bigcode/oasst-octopack
Data Volume:
1 trillion pretraining & 2M instruction tuning tokens
Methodology:
Instruction Tuning on CommitPackFT and OASST
Training Time:
Pretraining: 24 days, Instruction tuning: 4 hours
Hardware Used:
Pretraining: 512 Tesla A100 GPUs, Instruction tuning: 8 Tesla A100 GPUs
Model Architecture:
GPT-2 model with multi-query attention and Fill-in-the-Middle objective
Input Output 
Input Format:
Preface input with 'Question:' and finish with 'Answer:'
Accepted Modalities:
text
Output Format:
text generation
Performance Tips:
Use quality prompts to improve output relevance.
Release Notes 
Version:
initial
Notes:
Introduction of OctoCoder with instruction tuning based on StarCoder.
LLM NameOctocoder GPTQ
Repository 🤗https://huggingface.co/TheBloke/Octocoder-GPTQ 
Model CreatorBigCode
Base Model(s)  Octocoder   bigcode/octocoder
Model Size15.8b
Required VRAM9.2 GB
Updated2026-01-06
MaintainerTheBloke
Model Typegpt_bigcode
Model Files  9.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Generates CodeYes
Model ArchitectureGPTBigCodeForCausalLM
Licensebigcode-openrail-m
Transformers Version4.31.0.dev0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size49152
Torch Data Typefloat32
Activation Functiongelu

Rank the Octocoder GPTQ 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  
Code Generation  
Multi-Language Support and Translation  

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Release v20241124
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