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Starchat Beta GPTQ by TheBloke

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  4-bit   Autotrain compatible   Codegen   Endpoints compatible   Generated from trainer   Gpt bigcode   Gptq   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/starchat-beta-GPTQ 

Starchat Beta GPTQ Benchmarks

LLME Score: 0.11291
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Starchat Beta GPTQ (TheBloke/starchat-beta-GPTQ)

Starchat Beta GPTQ Parameters and Internals

Model Type 
GPT-like, coding assistant
Use Cases 
Areas:
research, educational purposes
Applications:
coding tasks, chat
Limitations:
uncensored model may generate problematic text, bias towards demographics in GitHub community
Additional Notes 
StarChat Beta is not aligned with human preferences and can produce problematic outputs. It is primarily trained on code data.
Supported Languages 
English (primary), Programming Languages (80+)
Training Details 
Data Sources:
openassistant-guanaco dataset, OpenAssistant/oasst1 dataset
Methodology:
fine-tuned using uncensored variant of dataset
Hardware Used:
multi-GPU setup with 8 devices
LLM NameStarchat Beta GPTQ
Repository 🤗https://huggingface.co/TheBloke/starchat-beta-GPTQ 
Model Size2.6b
Required VRAM8.9 GB
Updated2025-01-20
MaintainerTheBloke
Model Typegpt_bigcode
Model Files  8.9 GB
GPTQ QuantizationYes
Quantization Typegptq
Generates CodeYes
Model ArchitectureGPTBigCodeForCausalLM
Licensebigcode-openrail-m
Transformers Version4.28.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size49156
Torch Data Typebfloat16
Activation Functiongelu

Best Alternatives to Starchat Beta GPTQ

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Context / RAM
Downloads
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Starcoder GPTQ0K / 8.9 GB8813
Starcoderplus GPTQ0K / 8.9 GB2425
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/starchat-beta-GPTQ.

Rank the Starchat Beta GPTQ 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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