Feature Mapping Adapter V1 by Vishal24

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  Arxiv:1910.09700   Adapter Base model:adapter:meta-llama/... Base model:meta-llama/llama-2-...   Finetuned   Lora   Peft   Region:us

Feature Mapping Adapter V1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Feature Mapping Adapter V1 (Vishal24/feature_mapping_adapter_v1)

Feature Mapping Adapter V1 Parameters and Internals

LLM NameFeature Mapping Adapter V1
Repository ๐Ÿค—https://huggingface.co/Vishal24/feature_mapping_adapter_v1 
Base Model(s)  Llama 2 7B Chat Hf   meta-llama/Llama-2-7b-chat-hf
Model Size7b
Required VRAM1.2 GB
Updated2025-01-29
MaintainerVishal24
Model Files  1.2 GB
Model ArchitectureAdapter
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesmlp.up_proj|self_attn.k_proj|self_attn.v_proj|lm_head.weight|input_layernorm.weight|self_attn.q_proj|post_attention_layernorm.weight|mlp.gate_proj|mlp.down_proj|model.norm.weight|self_attn.rotary_emb.inv_freq|self_attn.o_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than Vishal24/feature_mapping_adapter_v1.

Rank the Feature Mapping Adapter V1 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