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Starcoder2 3B AWQ by TechxGenus

 »  All LLMs  »  TechxGenus  »  Starcoder2 3B AWQ   URL Share it on

  1002   
  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
Model Card on HF 🤗: https://huggingface.co/TechxGenus/starcoder2-3b-AWQ 

Starcoder2 3B AWQ Benchmarks

ARC: 34.56 vs 96.7 (so35)-64.3%
HellaSwag: 47.62 vs 95.3 (gpt4)-50%
MMLU: 38.65 vs 88.3 (so35)-56.2%
TruthfulQA: 40.49 vs 59 (gpt4)-31.4%
WinoGrande: 54.54 vs 87.5 (gpt4)-37.7%
GSM8K: 19.64 vs 96.4 (so35)-79.6%
HumanEvalA: 23.43
Python Eva: 31.44 vs 92 (so35)-65.8%
Java Eval: 27.41
Javascript: 35.37
CPP Eval: 27.24
PHP Eval: 27.61
Julia Eval: 19.87
D Eval: 12.56
Lua Eval: 28.01
R Eval: 14.22
Racket Eva: 7.8
Rust Eval: 24.52
Swift Eval: 25.09
LLME Score: 0.19801
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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 🤗https://huggingface.co/TechxGenus/starcoder2-3b-AWQ 
Base Model(s)  Starcoder2 3B   bigcode/starcoder2-3b
Model Size3b
Required VRAM2.1 GB
Updated2025-09-23
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

🆘 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 v20241124
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