Qwen2 37B Pruned by carsonpoole

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  4-bit   Adapter   Axolotl Base model:adapter:carsonpoole... Base model:carsonpoole/qwen2-7...   Bitsandbytes   Finetuned   Generated from trainer   Instruct   Lora   Peft   Qwen2   Region:us   Safetensors

Qwen2 37B Pruned Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 37B Pruned (carsonpoole/Qwen2-37B-Pruned)

Qwen2 37B Pruned Parameters and Internals

LLM NameQwen2 37B Pruned
Repository ๐Ÿค—https://huggingface.co/carsonpoole/Qwen2-37B-Pruned 
Base Model(s)  ...72B Instruct Every Other Layer   carsonpoole/Qwen2-72B-Instruct-Every-Other-Layer
Model Size72b
Required VRAM0.8 GB
Updated2025-02-02
Maintainercarsonpoole
Instruction-BasedYes
Model Files  0.8 GB   0.0 GB
Model ArchitectureAdapter
Model Max Length131072
Is Biasednone
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|gate_proj|o_proj|up_proj|k_proj|down_proj|q_proj
LoRA Alpha64
LoRA Dropout0.05
R Param32
Errorsreplace

Rank the Qwen2 37B Pruned 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 v20241227