Llama 2 7B Qlora Moss 003 Sft by xtuner

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Llama 2 7B Qlora Moss 003 Sft is an open-source language model by xtuner. Features: 7b LLM, VRAM: 0.6GB, LLM Explorer Score: 0.09.

  Adapter Base model:adapter:meta-llama/... Base model:meta-llama/llama-2-...   Conversational   Dataset:fnlp/moss-003-sft-data   Finetuned   Lora   Peft   Region:us

Llama 2 7B Qlora Moss 003 Sft Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 2 7B Qlora Moss 003 Sft (xtuner/Llama-2-7b-qlora-moss-003-sft)
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Llama 2 7B Qlora Moss 003 Sft Parameters and Internals

Model Type 
conversational
Use Cases 
Areas:
conversational AI
Additional Notes 
Plugin functionality is available through XTuner CLI.
Training Details 
Data Sources:
fnlp/moss-003-sft-data
Methodology:
fine-tuning
Input Output 
Input Format:
includes prompt template with special tokens 'Human', 'Inner Thoughts', 'Commands', 'Results'.
Accepted Modalities:
text
Output Format:
text
LLM NameLlama 2 7B Qlora Moss 003 Sft
Repository ๐Ÿค—https://huggingface.co/xtuner/Llama-2-7b-qlora-moss-003-sft 
Base Model(s)  Llama 2 7B Hf   meta-llama/Llama-2-7b-hf
Model Size7b
Required VRAM0.6 GB
Updated2025-09-23
Maintainerxtuner
Model Files  0.6 GB
Model ArchitectureAdapter
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesgate_proj|down_proj|v_proj|k_proj|up_proj|o_proj|q_proj
LoRA Alpha16
LoRA Dropout0.1
R Param64

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Note: green Score (e.g. "73.2") means that the model is better than xtuner/Llama-2-7b-qlora-moss-003-sft.

Rank the Llama 2 7B Qlora Moss 003 Sft 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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Release v20260328a