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Starcoderbase 1B AWQ by casperhansen

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Starcoderbase 1B AWQ is an open-source language model by casperhansen. Features: 1b LLM, VRAM: 0.8GB, Quantized, Code Generating, LLM Explorer Score: 0.09.

  4-bit   Awq   Codegen   Endpoints compatible   Gpt bigcode   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/casperhansen/starcoderbase-1b-awq 

Starcoderbase 1B AWQ Benchmarks

LLME Score: 0.09191
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Starcoderbase 1B AWQ (casperhansen/starcoderbase-1b-awq)
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Starcoderbase 1B AWQ Parameters and Internals

LLM NameStarcoderbase 1B AWQ
Repository 🤗https://huggingface.co/casperhansen/starcoderbase-1b-awq 
Base Model(s)  Peft Starcoder Lora Python   johnwee1/peft-starcoder-lora-python
Model Size1b
Required VRAM0.8 GB
Updated2026-05-08
Maintainercasperhansen
Model Typegpt_bigcode
Model Files  0.8 GB
AWQ QuantizationYes
Quantization Typeawq
Generates CodeYes
Model ArchitectureGPTBigCodeForCausalLM
Transformers Version4.33.2
Tokenizer ClassGPT2Tokenizer
Vocabulary Size49152
Torch Data Typefloat16
Activation Functiongelu_pytorch_tanh

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Starcoderbase 1B0K / 4.5 GB170
Note: green Score (e.g. "73.2") means that the model is better than casperhansen/starcoderbase-1b-awq.

Rank the Starcoderbase 1B 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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