Qwen3b Lora Finetune by neihc

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  Arxiv:1910.09700   4bit   Codegen   Finetuned   Instruct   Lora   Peft   Pytorch   Quantized   Qwen2   Region:us   Sharded   Unsloth

Qwen3b Lora Finetune Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3b Lora Finetune (neihc/qwen3b-lora-finetune)

Qwen3b Lora Finetune Parameters and Internals

LLM NameQwen3b Lora Finetune
Repository ๐Ÿค—https://huggingface.co/neihc/qwen3b-lora-finetune 
Base Model(s)  unsloth/qwen2.5-coder-3b-instruct-bnb-4bit   unsloth/qwen2.5-coder-3b-instruct-bnb-4bit
Model Size3b
Required VRAM6.2 GB
Updated2025-02-16
Maintainerneihc
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.2 GB: 2-of-2
Quantization Type4bit
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
LoRA ModelYes
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than neihc/qwen3b-lora-finetune.

Rank the Qwen3b Lora Finetune 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227