Starcoder2 3B AWQ by TechxGenus

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  Arxiv:2004.05150   Arxiv:2205.14135   Arxiv:2207.14255   Arxiv:2305.13245   4-bit   Autotrain compatible   Awq   Code Dataset:bigcode/the-stack-v2-t...   Endpoints compatible   Model-index   Quantized   Region:us   Safetensors   Starcoder2

Starcoder2 3B AWQ Benchmarks

Starcoder2 3B AWQ (TechxGenus/starcoder2-3b-AWQ)
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Starcoder2 3B AWQ Parameters and Internals

Model Type 
text-generation
Use Cases 
Primary Use Cases:
Generating code snippets
Limitations:
The generated code is not guaranteed to work as intended and can be inefficient, contain bugs, or exploits.
Supported Languages 
main_language (English), other_languages_supported ()
Training Details 
Data Sources:
bigcode/the-stack-v2-train
Data Volume:
3+ trillion tokens
Methodology:
Fill-in-the-Middle objective
Context Length:
16384
Hardware Used:
160 A100 GPUs
Model Architecture:
Transformer decoder with grouped-query and sliding window attention
Input Output 
Accepted Modalities:
text
Output Format:
code snippets
LLM NameStarcoder2 3B AWQ
Repository ๐Ÿค—https://huggingface.co/TechxGenus/starcoder2-3b-AWQ 
Base Model(s)  Starcoder2 3B   bigcode/starcoder2-3b
Model Size3b
Required VRAM2.1 GB
Updated2025-08-18
MaintainerTechxGenus
Model Typestarcoder2
Model Files  2.1 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureStarcoder2ForCausalLM
Licensebigcode-openrail-m
Context Length16384
Model Max Length16384
Transformers Version4.39.3
Tokenizer ClassGPT2Tokenizer
Vocabulary Size49152
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TechxGenus/starcoder2-3b-AWQ.

Rank the Starcoder2 3B AWQ 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124