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Qwen2 1 5B Function Call Tiny Lora by svjack

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  Adapter Base model:adapter:qwen/qwen2-... Base model:qwen/qwen2-7b-instr...   Finetuned   Generated from trainer   Instruct   Llama-factory   Lora   Peft   Region:us   Safetensors

Qwen2 1 5B Function Call Tiny Lora Benchmarks

LLME Score: 0.22577
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen2 1 5B Function Call Tiny Lora Parameters and Internals

LLM NameQwen2 1 5B Function Call Tiny Lora
Repository 🤗https://huggingface.co/svjack/Qwen2-1_5B_Function_Call_tiny_lora 
Base Model(s)  Qwen2 7B Instruct   Qwen/Qwen2-7B-Instruct
Model Size7b
Required VRAM0 GB
Updated2024-09-08
Maintainersvjack
Instruction-BasedYes
Model Files  0.0 GB   0.0 GB
Model ArchitectureAdapter
Licenseother
Model Max Length32768
Is Biasednone
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdown_proj|k_proj|gate_proj|up_proj|o_proj|v_proj|q_proj
LoRA Alpha16
LoRA Dropout0
R Param8
Errorsreplace
Qwen2 1 5B Function Call Tiny Lora (svjack/Qwen2-1_5B_Function_Call_tiny_lora)

Quantized Models of the Qwen2 1 5B Function Call Tiny Lora

Model
Likes
Downloads
VRAM
Qwen2 7B Instruct 8bit4298 GB

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Note: green Score (e.g. "73.2") means that the model is better than svjack/Qwen2-1_5B_Function_Call_tiny_lora.

Rank the Qwen2 1 5B Function Call Tiny Lora 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 v2024072803
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