Project M2 2024 Dreamteam AWQ V2 by changchuntzu

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  Arxiv:1910.09700   4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Quantized   Region:us   Safetensors   Stablelm

Project M2 2024 Dreamteam AWQ V2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Project M2 2024 Dreamteam AWQ V2 Parameters and Internals

LLM NameProject M2 2024 Dreamteam AWQ V2
Repository ๐Ÿค—https://huggingface.co/changchuntzu/project-m2-2024-dreamteam-awq_v2 
Model Size597.3m
Required VRAM1.8 GB
Updated2025-06-09
Maintainerchangchuntzu
Model Typestablelm
Model Files  1.8 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureStableLmForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.40.2
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|pad|>
Vocabulary Size50278
Torch Data Typefloat16
Project M2 2024 Dreamteam AWQ V2 (changchuntzu/project-m2-2024-dreamteam-awq_v2)

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Note: green Score (e.g. "73.2") means that the model is better than changchuntzu/project-m2-2024-dreamteam-awq_v2.

Rank the Project M2 2024 Dreamteam AWQ V2 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