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Feedback Wizard 4bit AWQ by davidsvaughn

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  4-bit   4bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/davidsvaughn/feedback-wizard-4bit-awq 

Feedback Wizard 4bit AWQ Benchmarks

LLME Score: 0.19665
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Feedback Wizard 4bit AWQ (davidsvaughn/feedback-wizard-4bit-awq)

Feedback Wizard 4bit AWQ Parameters and Internals

LLM NameFeedback Wizard 4bit AWQ
Repository 🤗https://huggingface.co/davidsvaughn/feedback-wizard-4bit-awq 
Model Size1.2b
Required VRAM4.2 GB
Updated2025-03-13
Maintainerdavidsvaughn
Model Typemistral
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq|4bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Rank the Feedback Wizard 4bit 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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