Dolphin 2.9.2 Qwen2 7B AWQ by solidrust

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  4-bit   Autotrain compatible   Awq Base model:cognitivecomputatio... Base model:quantized:cognitive...   Conversational   Endpoints compatible   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Dolphin 2.9.2 Qwen2 7B AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dolphin 2.9.2 Qwen2 7B AWQ (solidrust/dolphin-2.9.2-qwen2-7b-AWQ)

Dolphin 2.9.2 Qwen2 7B AWQ Parameters and Internals

Model Type 
text-generation
Additional Notes 
AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization.
LLM NameDolphin 2.9.2 Qwen2 7B AWQ
Repository ๐Ÿค—https://huggingface.co/solidrust/dolphin-2.9.2-qwen2-7b-AWQ 
Base Model(s)  cognitivecomputations/dolphin-2.9.2-qwen2-7b   cognitivecomputations/dolphin-2.9.2-qwen2-7b
Model Size7b
Required VRAM5.6 GB
Updated2025-02-14
Maintainersolidrust
Model Typeqwen2
Model Files  4.5 GB: 1-of-2   1.1 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.41.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than solidrust/dolphin-2.9.2-qwen2-7b-AWQ.

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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 v20241227